Bit Error Rate Calculation for OFDM with Synchronization Errors in Time and Frequency Selective Fading Channels
|
|
- Molly Reeves
- 6 years ago
- Views:
Transcription
1 Bit Error Rate Cacuation for OFDM with Synchronization Errors in Time and Frequency Seective Fading Channes Marco Krondorf and Gerhard Fettweis Vodafone Chair Mobie Communications Systems, Technische Universität Dresden, D-0106 Dresden, Germany Abstract In this paper we present an anaytica approach to evauate the bit error rate BER) of OFDM systems subject to carrier frequency offset CFO) and channe estimation error in Rayeigh fat fading as we as in time and frequency seective fading channes. Based on correct modeing of the correation between channe estimates and received signas with carrier frequency offset, the bit error rate can be numericay evauated by averaging bit error rates on different subcarriers using an anaytica expression of doube integras. The resuts iustrate that the anaysis can approximate the simuative performance very accuratey if the power deay profie of fading channes and carrier frequency offset are known. I. INTRODUCTION Orthogona Frequency Division Mutipexing OFDM) is a widey appied technique for wireess communications, which enabes simpe one-tap equaization by cycic prefix insertation. Conversey, the sensitivity of OFDM systems to carrier frequency offset CFO) is higher than that of singe-carrier systems. In present OFDM standards, such as IEEE80.11a/g or DVB-T, preambe or piots) are used to estimate and compensate the carrier frequency offset CFO) and channe impuse response but after the CFO estimation and compensation, the residua carrier frequency offset sti destroys the orthogonaity of the received OFDM signas and the channe estimates, which worsen further the bit error rate of OFDM systems during the equaization process. In the iterature, the effects of carrier frequency offset on symbo error rate are mosty investigated under the assumption of perfect channe knowedge. The papers [6] and [3] consider the effects of carrier frequency offset ony without channe estimation and equaization) and give exact anaytica expressions in terms of SNR-oss or bit error rates for the AWGN channe. The authors of [7] extend their anaysis to frequency-seective fading channes and derive the correspondent uncoded bit error rates for OFDM systems assuming aso perfect channe knowedge. In addition to the papers above, the authors of [1] tried to anayze the joint effect of carrier frequency offset and channe estimation error on uncoded bit error rate for OFDM systems, but the assumption in [1] channe estimates are uncorreated to channe estimation error or uncorreated to received signas) does not hod in rea OFDM systems, especiay when carrier frequency offset is arge. In this paper, after introducing the OFDM system mode Sec.II) and the probabiity density function anaysis [9] Sec.III), it wi be expained how to mode the correation between channe estimates and received signas for deriving the bit error rates of OFDM systems with carrier frequency offset in Rayeigh fat fading channes Sec.IV) and Rayeigh frequency and time seective fading channes Sec.V & Sec.VI) respectivey. It shoud be noted, that the terms bit error rate and bit error probabiity are used with equa meaning. This is due to the fact, that the bit error rate converges towards bit error probabiity with increasing observation time in a stationary environment. II. OFDM SYSTEM MODEL We consider an OFDM system with N-point FFT. The data is M-QAM moduated to different OFDM data subcarriers, then transformed to a time domain signa by IFFT operation and prepended by a cycic prefix, which is chosen to be onger than the maxima channe impuse response CIR) ength L. In this paper, it is assumed that the residua carrier frequency offset is a given deterministic vaue in practice, the residua carrier frequency offset is a Gaussian-ike distributed random variabe.) A one-ofdm-symbo-ong preambe is used for channe estimation. Furthermore, static channe characteristics during one OFDM symbo are assumed. The samped signa for the th subcarrier after the receiver FFT processing can be written as Y X H + N 1 k N, X k H k Ik ) + W 1) where X represents the transmitted compex QAM moduated symbo on subcarrier and W is a compex Gaussian noise sampe. The coefficient H k denotes the frequency domain channe transfer function on subcarrier k, which is the discrete Fourier transform of the CIR hτ) with maxima L taps H k hτ)e jπkτ/n ) τ0 the coefficient Ik ) represents the impact of the received signa at subcarrier k on the received signa at subcarrier due
2 to the residua carrier frequency offset [3] Ik ) e jπk )+ f)1 1/N) sinπk ) + f)) Nsinπk ) + f)/n) where f is the residua carrier frequency offset normaized to the subcarrier spacing. In addition, ater in this paper the summation N 1 wi be abbreviated as k N,. Equation 1) iustrates that f causes inter carrier interference ICI) as we as a phase shift and attenuation that is common for a subcarriers. Furthermore there is a time variant common phase shift for a subcarriers due to f as given in [7] that is not modeed here. This is due to the fact, that this time variant common phase term is considered to be robusty estimated and compensated by continuous piots that are inserted in the OFDM data symbos. Subsequenty, we consider the preambebased Least Square LS) frequency domain channe estimation to obtain the channe state information on subcarrier. Ĥ Y P, H + X P,kH k Ik ) + W 3) X P, X P, foowed by the frequency domain zero-forcing equaization before data detection Z Y Ĥ 4) where X P, and Y P, denote the transmitted and received preambe symbo on subcarrier. The Gaussian noise of preambe part W has the same variance as W of data part σw σ W ). The power of preambe signas and the average power of transmitted data signas on a subcarriers is normaized to one X P σx 1). The derived anaytica expressions for bit error and symbo error rates are compared with appropriate simuation resuts. In these numerica exampes, we consider a OFDM system with 64-point FFT. The data is 4-QAM-moduated to different subcarriers, then transformed to the time domain signa by IFFT operation and prepended by a 16-tap ong cycic prefix. The data is randomy generated and one OFDM piot symbo was used for channe estimation. The used BPSK piot data in the frequency domain is given by X P, 1) for subcarrier index [ 3 : 1 : 31] In addition to Rayeigh fat fading channes, two types of frequency seective fading channes are considered as isted beow 1) Equa power deay profie PDP) στ 1, τ 0, 1,...,L 1 L ) Exponentia power deay profie σ τ 1 C e Dτ/L, τ 0, 1,...,L 1 where στ E{ h τ } and the factor C τ0 e Dτ/L is chosen to normaize the PDP as τ0 σ τ 1 or σh 1 on a subcarriers). The channe taps h τ are assumed to be compex Gaussian RV with uncorreated rea and imaginary parts. Additionay, the maxima channe impuse response is kept shorter/equa than the cycic prefix L 16) in the numerica exampes. Uness otherwise stated, 4-QAM digita moduation is used in a the numerica exampes of this paper. III. PROBABILITY DENSITY FUNCTIONS ANALYSIS The author of [9] has suggested a correation mode regarding channe estimation for singe-carrier systems and derived the correspondent symbo error rate and bit error rate of QAM-moduated signas transmitted in fat Rayeigh and Ricean channes. In this section, a short review of the contribution of [9] wi be given in order to further extend these resuts to OFDM systems for time and frequency seective fading channes with both carrier frequency offset and channe estimation error. The singe-carrier transmission mode without carrier frequency offset for fat Rayeigh fading channes can be written as y hx + w 5) where y, h, x and w denote the compex baseband representation of the received signa, the channe coefficient, the transmitted data and the Gaussian noise with variance σw respectivey. In [9], the channe estimate ĥ is assumed to be biased and used for zero forcing equaization as foows z y with ĥ αh + ν 6) ĥ where α denotes the mutipicative bias in the channe estimates and ν is a zero-mean compex Gaussian noise with variance σν. The channe coefficient h and Gaussian noise ν are assumed to be uncorreated. Since y and ĥ are correated, we can write y ryĥσ y ĥ + η 7) σĥ where the zero-mean Gaussian random variabe η with variance σ η E{ η } σ y 1 r yĥ ) is uncorreated to ĥ and r y ĥ E{yĥ } σĥσ y with σ ĥ E{ ĥ } and σ y E{ y } Substituting equation 7) into equation 6), the equaized signa takes the form where b ryĥσy σĥ signa z and ǫ η ĥ z ryĥσ y + η ĥ b + ǫ 8) σĥ E{yĥ } σ ĥ represents the bias of equaized denotes the zero mean noise part of the equaized signa z. Interestingy, the term E{yĥ } xα λ)σ h contains the anaytica expression of the time seective channe properties where the channe gain is expressed by σ h E{ h }. In the time interva λ between channe estimation and data detection, the channe variation is expressed in terms
3 of correation coefficient λ) of i.i.d. channe reaizations given by λ) E{ht)h t + λ)} σ h 1,0) x I z) 0,0) x 1 It shoud be noted that the bias b is highy correated to the transmitted data symbo x and can be formuated by R z) bx) R{b} + ji{b} b r x) + jb i x) α x λ)σh ) α σh + σ ν Subsequenty, due to the fact that zero-mean Gaussian random variabes η and ĥ are uncorreated, we have ǫ η ĥ η ejφη ĥ ejφ ĥ η ĥ ejφη φ ĥ ) ǫ e jφǫ where the phase φ η and φĥ are uniformy distributed. Hence, the phase φ ǫ is aso uniformy distributed, i.e. its pdf is f φǫ φ ǫ ) 1 π and the probabiity density functions of ǫ is given by [10] with f ǫ ǫ ) a x) σ η σ ĥ 9) 10) ǫ a ǫ + a ) 11) σ y 1 r yĥ ) σ ĥ x α σ 4 h 1 r h λ)) + σ νσ h α σ h + σ ν ) σ w + α σh + σ ν 1) Furthermore, it is we known from [5] that ǫ ǫ e jφǫ can be expressed in cartesian coordinates ǫ ǫ r + jǫ i with joint pdf f ǫr,ǫ i ǫ r, ǫ i ) 1 ǫ f ǫ ǫ )f φǫ ϕ) 13) ǫ ǫ r +ǫ i Substituting Eq.8), Eq.10) and Eq.11) into Eq. 13), the joint pdf of z z r + jz i with given transmitted symbo x in cartesian coordinates [9] can be derived by a x) f z x z x) π z bx) + a x)) 14) zzr+jz i Additionay, the antiderivative of Eq.14) w.r.t. z z r + jz i is given by ) z z i b i x))arctan r b rx) a F z x z x) x)+z i b ix)) π 15) a x) + z i b i x)) ) z z r b r x))arctan i b ix) a + x)+z r b rx)) π a x) + z r b r x)) B 1,1 x3 4 1,1) x 0,1) Fig QAM consteation diagram - decision region for one bit position of symbo x 1 The resut of 15) can be used to cacuate the bit error rate of a given M-QAM consteation [9]. In a M-QAM consteation there are M dm) different possibe bit positions with respect to the M-QAM consteation. This fact is iustrated in Fig.1 using a 4-QAM consteation. Taking a coser ook to the 4-QAM exampe,we have four consteation points x , +1), x 1 1, +1), x , 1) and x 4 1 1, 1). For each consteation point x m, where m denotes the consteation point index, the parameters bx m ) b m,r + jb m,i and parameter a x m ) a m has to be cacuated separatey for evauating the bit error rate using Eq.15) and Eq.16). The probabiity of an erroneous bit with respect to the m-th QAM symbo x m can be cacuated by using the primitive of conditiona PDF Eq.15) and an appropriate decision region B m,ν for the bit position used for doube integration see Fig.1). Hence, the bit error probabiity P b x m ) takes the form P b x m ) 1 dm) dm) ν1 [[ Fz xm z x m ) ]] B m,ν 16) Finay, the bit error probabiity can be obtained by averaging over a possibe consteation points, when assuming equa probabe M-QAM symbos as foows P b 1 M P b x m ) 17) M m1 IV. OFDM BIT ERROR RATE ANALYSIS FOR RAYLEIGH FLAT FADING CHANNELS In this section, the derivation of the bit error rates of OFDM systems with carrier frequency offset and channe estimation error in Rayeigh fat fading channes H H k H, k, [1,..., N]) wi be given. Additionay, time seective channe characteristics are not considered in this section. A. Mathematica Derivation Firsty, we can rewrite the channe estimates of subcarrier in Eq.3) to be Ĥ H 1 + P,kIk ) + W 18) X P, X P,
4 and from Eq.18), an Eq.6)-ike expression can be given Ĥ α H + W X P, α H + ν 19) by defining effective channe H and effective bias α H H, α 1 + P,kIk ) X P, where α is a deterministic quantity with given subcarrier index, a set of preambe symbos X P,k and a fixed frequency offset. For σ ν, which represents the AWGN variance of the channe estimates, we have σ ν σw for a subcarriers, if X P, 1 for a subcarrier indexes. Appying the same method above for Eq.1), the same definition of effective channe H can be used to obtain an Eq.5)-ike expression as foows Y H X + kik ) +W }{{} X H X + W 0) Given Eq.0), the effective symbo X can be defined, that is no onger a deterministic vaue but a stochastic quantity due to i.i.d. data symbos on subcarriers k.giving a certain transmit symbo X and assuming randomy transmitted data signas X k with k, we can decompose the effective symbo X as foows X X + X kik ) X + ICI which shows the stochastic nature of X due to the random ICI part. Appying the centra imit theorem athough, stricty speaking, X has discrete distribution), we assume that the inter-carrier interference term is a compex zero-mean Gaussian random variabe ICI p+jq. The mutua uncorreated rea and imaginary parts p and q have the same variance for a consteation points σ ICI 1 Secondy, according to Eq.9) and Eq.1), we cacuate the parameters b X ) b,r + jb,i and a X ) for M-QAM effective data symbos X on subcarrier in Rayeigh fat fading channes. ) b X ) X α σ H α σ H + σ ν 1) a X ) σ ν X σ H σ Ĥ ) + σ W σ Ĥ ) where σ H σ H and σ Ĥ α σ H + σ W. As an exampe, for one 4-QAM consteation point with the index m 1, X 1, 1 1, 1) 1 1+j), on subcarrier we need to cacuate b X 1, ) b 1,,r + jb 1,,i and parameter a X 1, ) separatey for each effective symbo reaization X 1, X 1, + p + jq j) + p + jq in Eq. 15) and Eq. 16). Subsequenty, the bit error rate on subcarrier for the m-th consteation point can be expressed using Eq.15) and Eq.16) by the foowing doube integra P b X m, ) P b X m, + p + jq) π σ ICI e p +q σ ICI dp dq 3) Finay, to obtain the genera bit error rate we have to average Eq.3) over a subcarriers with index and M-QAM consteation points with index m as foows P b 1 MN B. Numerica Resuts N/ 1 M N/ m1 P b X m, ) 4) Fig. presents the cacuated and simuated bit error rates vs. SNR with given carrier frequency offset f for fat Rayeigh fading channes. The resuts iustrate that the anaysis can approximate the simuative performance very accuratey. BER f 1% cac f 1% Sim f 10% cac f 10% Sim f 15% cac f 15% Sim f 18% cac f 18% Sim f 0% cac f 0% Sim Fig.. Comparison of cacuated and simuated 4-QAM BER vs. SNR under different f in Rayeigh fat fading channe V. OFDM BIT ERROR RATE ANALYSIS FOR RAYLEIGH FREQUENCY SELECTIVE FADING CHANNELS In this section the bit error rates of OFDM systems with carrier frequency offset and channe estimation error in frequency seective fading channes are derived. As in the section before, time seective channe characteristics are not considered. A. Mathematica Derivation Firsty, the cross-correation coefficient of channe transfer functions between subcarrier k and in frequency seective fading channes are defined r k, E{H kh } σ H 1 k 5)
5 where the channe gains σh are the same for a subcarriers. Assuming mutua uncorreated channe taps of the CIR and appying Eq. ), one get { } r k, E hτ)h γ)e jπkτ/n e jπγ/n τ0 γ0 E { hτ) } e jπk )τ/n 6) τ0 where the vaues E{ hτ) } στ denote the tap power of the fading channes with different power deay profie. The cross correation properties of the channe coefficients is written as foows H k r k, H + V k where V k a compex zero-mean Gaussian with variance σv k σh 1 r k, ) and E{V k H }0. Substituting the crosscorreation properties of the channe coefficients into Eq.3), the channe estimate can be written as Ĥ H 1 + P,kIk )r k, + ˇν X P, Ȟˇα + ˇν 7) where the effective channe can be defined as Ȟ H In addition, the effective noise term of the channe estimates with variance σ ˇν is given by ˇν 1 X P,k Ik )V k + W 8) X P, The factor ˇα represents the fact that the channe estimates are biased and is expressed by ˇα 1 + P,kIk )r k, X P, Secondy, substituting the cross-correation properties of the channe coefficients into Eq.1), one obtain Y H X + kik )r k, + X k Ik )V k + W Ȟ ˇX + ˇW 9) where the effective noise term ˇW with variance σ ˇW can be written as ˇW X k Ik )V k + W 30) The stochastic effective transmit symbo ˇX is given by ˇX X + X kik )r k, 31) Appying the centra imit theorem, the ICI part of ˇX can be expressed as compex Gaussian random variabe as foows ICI X kik )r k, p + jq 3) The uncorreated rea part p and imaginary part q of the intercarrier interference have the same variance for a M-QAM consteation points: ˇσ ICI Ik ) r k, According to Eq.9) and Eq.1), we cacuate the parameters b ˇX ) b,r + jb,i and a ˇX ) for M-QAM effective data symbos ˇX on subcarrier in frequency seective fading channes. ) b ˇX ) ˇX ˇα σ Ȟ ˇα σ + 33) Ȟ σˇν a ˇX ) σˇν ˇX σ Ȟ σ Ĥ ) + σˇw σ Ĥ 34) where σ Ȟ σ H and σ Ĥ ˇα σ H + σˇν. From Eq.33) and Eq.34) one can observe, that the parameters σ ˇW and σ ˇν have to be cacuated exacty to obtain reiabe resuts. For an exact expression of σ ˇW one take Eq.30), σ V k σ H 1 r k, ) together with the assumptions of mutuay uncorreated data symbos and obtain σ ˇW σw + σh Ik ) Ik ) r k, 35) For variance of the effective AWGN term of the channe estimate according Eq.8) we get σ ˇν σ W + m X P,k X P,m Ik )I m ) r k,m r k, r m, σ H ) 36) Simiar to Sec.IV, given a certain effective symbo ˇXm, X m, + ICI X m, + p + jq together with an appropriate decision region of the reated M-QAM data symbo X m, on subcarrier, where m is the consteation point index, the bit error probabiity is obtained by averaging over a subcarriers and M-QAM consteation points with index m as foows ˇP b 1 MN N/ 1 B. Numerica Exampes M N/ m1 P b X m, + p + jq) πˇσ ICI e p +q ˇσ ICI dp dq 37) Fig. 3 present the cacuated and simuated bit error rates vs. SNR with given carrier frequency offset f for frequency seective fading channes with 8 tap equa power deay profie. The resuts iustrate that the anaysis can approximate the simuative performance very accuratey, if the power deay profie and the carrier frequency offset are known.
6 BER f 1% cac f 1% Sim f 5% cac f 5% Sim f 10% cac f 10% Sim f 15% cac f 15% Sim f 30% cac f 30% Sim For sake of simpicity, it is assumed that a channe taps have the same auto-correation coefficient τ, λ) λ) 0 τ L 1. Together with the reation τ0 σ τ σ H, we obtain r H, λ) λ) with N N 1 41) With respect to the frequency seective derivations of Sec.V-A and Eq.9) and Eq.1) the parameters b and a have to be reformuated according the time seective channe properties as foows ) b ˇX ) ˇX ˇα λ)σ Ȟ ˇα σ Ȟ + σˇν 4) Fig. 3. Comparison of cacuated and simuated 4-QAM BER vs. SNR under different f in frequency seective channes with 8 taps equay distributed power deay profie a ˇX ) ˇX ˇα σ 4 Ȟ 1 r h λ)) + σˇν σ Ȟ σ Ĥ ) VI. OFDM PERFORMANCE ANALYSIS IN TIME AND FREQUENCY SELECTIVE FADING CHANNELS In current OFDM systems such as 80.11a/n, there is a typica OFDM bock structure.a OFDM bock consists of a set of preambe symbos used for acquisition, synchronization and channe estimation, foowed by a set of seriay concatenated OFDM data symbos. User mobiity gives rise to a considerabe variation of the mobie channe during one OFDM bock what causes outdated channe information in certain OFDM symbos if there is no appropriate channe tracking. To be precise, during the time period λ between channe estimation and OFDM symbo reception the channe changes in a way that the estimated channe information used for equaization does not fit the actua channe anymore. If there is no channe tracking at the receiver side, our aim is it to extend the BER derivation of Sec. V according considerabe channe variations between channe estimation and data detection. A. Channe Auto-Correation Anaysis To derive the OFDM bit error rates for time and frequency seective fading channes it is necessary to define the autocorreation properties of certain channe coefficients H. The auto-correation coefficient of subcarrier is defined as foows r H, λ) E{H t)h t + λ)} 38) Appying Eq.) we get σ H { E{H t)h t + λ)} E hτ, t)h ν, t + λ) τ0 ν0 e πτ ν) N When assuming uncorreated channe taps it foows E{H t)h t + λ)} } E{hτ, t)h τ, t + λ)} τ0 39) τ, λ)στ 40) τ0 + σˇw σ Ĥ 43) where σ Ȟ σ H and σ Ĥ ˇα σ H + σˇν according Sec.V-A. B. Numerica Resuts For the numerica evauation of the anaytica BER resuts see. Fig.4), the time seectivity of the compex Gaussian channe taps was modeed as foows with hτ, t + λ) λ)hτ, t) + v τ,λ E{ hτ, t) } E{ hτ, t + λ) } σ τ where v τ,λ is a compex Gaussian RV with variance σv τ,λ στ1 λ) ) and E{hτ, t)vτ,λ } 0. For sake of simpicity, it is assumed that the channe is stationary during one OFDM symbo but changes from symbo to symbo in the above defined manner. BER 10 λ) 1 Sim λ) 1 cac λ) Sim λ) cac λ) Sim λ) cac λ) Sim λ) cac Fig. 4. Comparison of cacuated and simuated uncoded 4-QAM BER vs. SNR under f 3% for different channe auto-correation coefficients in exponentia PDP 8 Taps channe
7 VII. RESIDUAL CFO DISTRIBUTION There is a number of agorithms to estimate the carrier frequency offset in OFDM receivers proposed by severa authors such as M. Morei/U.Mengai [4] and T.M.Schmid/D.C.Cox [8]. The most common way of ML CFO estimation is to use periodic piot sequences, meaning that they resut from the repetition of a fixed bock of sampes in the time domain. For convenience, we have a bock of ength Λ and an observation interva of pλ, where p [, 3,...]. If we choose p the ML CFO estimate takes the form [4] f N πλ arg { Λ 1 } y k)yk + Λ) ν0 44) Using the resuts of Couson [], the residua CFO f after estimation Eq.44)) and compensation can be identified to be a zero-mean Gaussian RV of variance σ f under AWGN channe conditions. In [4] and [8] it was shown that the variance of f reaches the Cramer-Rao ower bound CRLB) in case of AWGN channe conditions and can be expressed for N pλ and p as var[ f] σ f N 4π Λ 3 SNR 45) where SNR E S /N 0. Since the PDF of the residua CFO is Gaussian under AWGN conditions, one can verify that in case of fat Rayeigh fading channe conditions the PDF can be formuated as p f f) σ f 1 f σ f ) 46) The anaytica bit error rate expressions obtained in the ast sections mainy depend on a specific f. Using the PDF in Eq.46) it is possibe to formuate a resuting bit error rate P b that is independent from any specific f and can be written as foows P b P b f)p f f) d f 47) In Fig.5, we show BER vs. SNR under rea synchronization conditions in a exponentia 8 taps channe scenario. A one OFDM symbo ong preambe was used for frequency synchronization, having two identica haves, 3 sampes each. Equation 44) was used for CFO estimation and compensation. The resuting BER was cacuated numericay using Eq.47). Athough Eq.46) is vaid ony in fat Rayeigh fading environments, it is shown in Fig.5 that our anaysis is sti very accurate even under frequency seective channe conditions. BER QAM cac 4QAM Simuation 16QAM cac 16QAM Simuation λ) λ) Fig. 5. Comparison of cacuated and simuated BER vs. SNR for exponentia PDP 8 taps channe under rea frequency synchronization and channe estimation conditions channes. We show that the bit error probabiity can be cacuated exacty when using a priori knowedge of mobie channe power deay profie. Therefore, our anaysis provides a usefu and necessary too for system engineers to cross-reference the performance of OFDM synchronization/acquisition agorithms with appropriate uncoded bit error rates. REFERENCES [1] H. Cheon and D. Hong. Effect of channe estimation error in OFDMbased WLAN. In Proc. IEEE Communication Letters, voume 6, pages , May 00. [] A.J. Couson. Maximum Likeihood Synchronization for OFDM Using a Piot Symbo: Anaysis. In Proc. IEEE Journa on Seected Areas in Communications, voume 19, pages , December 001. [3] K.Sathananthan and C. Teambura. Probabiity of error cacuation of OFDM with frequency offset. In Proc. IEEE Transactions on Communications, voume 49, pages , November 001. [4] M. Morei and U. Mengai. Carrier-Frequency Estimation for Transmissions over Seective Channes. In Proc. IEEE Transactions on Communications, voume 48, pages , September 000. [5] A. Papouis. Probabiity, Random Variabes, and Stochastic Processes. New York: McGraw-Hi, [6] T. Poet, M. van Bade, and M.Moenecaey. BER sensitivity of OFDM systems to carrier frequency offset and Wiener phase noise. In Proc. IEEE Transactions on Communications, voume 4, pages , [7] L Rugini, P. Banei, and S. Cacopardi. Probabiity of Error of OFDM Systems with Carrier Frequency Offset in Frequency-Seective Fading Channes [8] T. Schmid and D.C. Cox. Robust Frequency and Timing Synchronization for OFDM. In Proc. IEEE Transactions on Communications, voume 45, pages , December [9] S. K. Wison and J. M. Cioffi. Probabiity Density Functions for Anayzing Muti-Ampitude Consteations in Rayeigh and Ricean Channes. In IEEE Transactions on Communications, March [10] M. Windisch and G. Fettweis. Performance Degradation due to I/Q Imbaance in Muti-Carrier Direct Conversion Receivers: A Theoretica Anaysis. In Proc. IEEE Internationa Conference on Communications ICC 06), Istanbu, Turkey, June 006. VIII. CONCLUSIONS In this paper we show how to anayticay evauate the bit error probabiity/rate of OFDM systems subject to carrier frequency offset and channe estimation error in fat Rayeigh fading as we as frequency and time seective mobie fading
Symbol Error Rate Calculation for Alamouti Space Time Coded OFDM in Direct Conversion Receivers
Symbo Error Rate Cacuation for Aamouti Space Time Coded OFDM in Direct Conversion Receivers Marco Krondorf Vodafone Chair Mobie Communications Systems, Technische Universität Dresden, D-6 Dresden, Germany
More informationNumerical Performance Evaluation for OFDM Systems affected by Phase Noise and Channel Estimation Errors
Numerical Performance Evaluation for OFDM Systems affected by Phase Noise and Channel Estimation Errors Marco Krondorf, Steffen Bittner and Gerhard Fettweis Vodafone Chair Mobile Communications Systems
More informationChannel Division Multiple Access Based on High UWB Channel Temporal Resolution
Channe Division Mutipe Access Based on High UWB Channe Tempora Resoution Rau L. de Lacerda Neto, Aawatif Menouni Hayar and Mérouane Debbah Institut Eurecom B.P. 93 694 Sophia-Antipois Cedex - France Emai:
More informationCo-channel Interference Suppression Techniques for STBC OFDM System over Doubly Selective Channel
Co-channe Interference Suppression Techniques for STBC OFDM System over Douby Seective Channe Jyoti P. Patra Dept. of Eectronics and Communication Nationa Institute Of Technoogy Rourkea-769008, India E
More informationResearch Article OFDM Link Performance Analysis under Various Receiver Impairments
Hindawi Pubishing Corporation EURASIP Journa on Wireess Counications and Networking Voue 8, Artice ID 79, pages doi:./8/79 Research Artice OFDM Link Perforance Anaysis under Various Receiver Ipairents
More informationEffect of Estimation Error on Adaptive L-MRC Receiver over Nakagami-m Fading Channels
Internationa Journa of Appied Engineering Research ISSN 973-456 Voume 3, Number 5 (8) pp. 77-83 Research India Pubications. http://www.ripubication.com Effect of Estimation Error on Adaptive -MRC Receiver
More informationTHE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN
THE TRADEOFF BETWEEN DIVERSITY GAIN AND INTERFERENCE SUPPRESSION VIA BEAMFORMING IN A CDMA SYSTEM Yan Zhang, Laurence B. Mistein, and Pau H. Siege Department of ECE, University of Caifornia, San Diego
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /GLOCOM.2003.
Coon, J., Siew, J., Beach, MA., Nix, AR., Armour, SMD., & McGeehan, JP. (3). A comparison of MIMO-OFDM and MIMO-SCFDE in WLAN environments. In Goba Teecommunications Conference, 3 (Gobecom 3) (Vo. 6, pp.
More informationOFDM Link Performance Analysis under Various Receiver Impairments
OFDM Link Perforance Analysis under Various Receiver Ipairents Marco Krondorf and Gerhard Fettweis Vodafone Chair Mobile Counications Systes, Technische Universität Dresden, D-006 Dresden, Gerany {krondorf,fettweis}@ifn.et.tu-dresden.de,
More informationPerformance Measures of a UWB Multiple-Access System: DS/CDMA versus TH/PPM
Performance Measures of a UWB Mutipe-Access System: DS/CDMA versus TH/PPM Aravind Kaias and John A. Gubner Dept. of Eectrica Engineering University of Wisconsin-Madison Madison, WI 53706 akaias@wisc.edu,
More informationRate-Allocation Strategies for Closed-Loop MIMO-OFDM
Rate-Aocation Strategies for Cosed-Loop MIMO-OFDM Joon Hyun Sung and John R. Barry Schoo of Eectrica and Computer Engineering Georgia Institute of Technoogy, Atanta, Georgia 30332 0250, USA Emai: {jhsung,barry}@ece.gatech.edu
More informationPerformance Comparison of Cyclo-stationary Detectors with Matched Filter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 2
ISSN 319-8885 Vo.3,Issue.39 November-14, Pages:7859-7863 www.ijsetr.com Performance Comparison of Cyco-stationary Detectors with Matched Fiter and Energy Detector M. SAI SINDHURI 1, S. SRI GOWRI 1 PG Schoar,
More informationCHANNEL ESTIMATION PERFORMANCE FOR ZERO-OVERHEAD CHANNEL ACCESS IN MOBILE SENSOR NETWORKS
CANNEL ESTIMATION PERFORMANCE FOR ZERO-OVEREAD CANNEL ACCESS IN MOBILE SENSOR NETWORKS John E. Keider, Ghassan Maaoui, Steve Gifford, and Scott Chuprun Genera Dynamics C4 Systems Scottsdae, AZ, 8557 Brian
More informationJoint Detection and CFO Compensation in Asynchronous Multi-User MIMO OFDM Systems
Joint Detection and CFO Compensation in Asynchronous Muti-User MIMO OFDM Systems Vincent Kotzsch, Jörg Hofed and Gerhard Fettweis Vodafone Chair Mobie Communications Systems, TU-Dresden, Germany Emai:
More informationSecure Physical Layer Key Generation Schemes: Performance and Information Theoretic Limits
Secure Physica Layer Key Generation Schemes: Performance and Information Theoretic Limits Jon Waace Schoo of Engineering and Science Jacobs University Bremen, Campus Ring, 879 Bremen, Germany Phone: +9
More informationSuppression of ISI Caused by Sampling Time Offset in IFDMA Systems
Suppression of ISI Caused by Samping Time Offset in IFDA Systems Aexander Arkhipov, ichae Schne German Aerospace Center (DLR), Inst. of Communications and Navigation, D-82234, Wessing, Germany. Phone/e-mai:
More informationFREQUENCY-DOMAIN TURBO EQUALIZATION FOR SINGLE CARRIER MOBILE BROADBAND SYSTEMS. Liang Dong and Yao Zhao
FREQUENCY-DOMAIN TURBO EQUALIZATION FOR SINGLE CARRIER MOBILE BROADBAND SYSTEMS Liang Dong and Yao Zhao Department of Eectrica and Computer Engineering Western Michigan University Kaamazoo, MI 49008 ABSTRACT
More informationEffect of Interfering Users on the Modulation Order and Code Rate for UWB Impulse-Radio Bit-Interleaved Coded M-ary PPM
Effect of Interfering Users on the Moduation Order and Code Rate for UWB Impuse-Radio Bit-Intereaved Coded M-ary PPM Ruben Merz and Jean-Yves Le Boudec EPFL, Schoo of Computer and Communication Sciences
More informationAnalyzing Uplink SINR and Rate in Massive. MIMO Systems Using Stochastic Geometry
Anayzing Upink SINR and Rate in Massive MIMO Systems Using Stochastic Geometry Tianyang Bai and Robert W. Heath, Jr. arxiv:5.2538v2 [cs.it] 2 Apr 26 Abstract This paper proposes a stochastic geometry framework
More informationADAPTIVE ITERATION SCHEME OF TURBO CODE USING HYSTERESIS CONTROL
ADATIV ITRATION SCHM OF TURBO COD USING HYSTRSIS CONTROL Chih-Hao WU, Kenichi ITO, Yung-Liang HUANG, Takuro SATO Received October 9, 4 Turbo code, because of its remarkabe coding performance, wi be popuar
More informationImproving the Active Power Filter Performance with a Prediction Based Reference Generation
Improving the Active Power Fiter Performance with a Prediction Based Reference Generation M. Routimo, M. Sao and H. Tuusa Abstract In this paper a current reference generation method for a votage source
More informationFOR energy limited data networks, e.g., sensor networks,
578 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., DECEMBER 009 An Optima Power Aocation Scheme for the STC Hybrid ARQ over Energy Limited Networks Hongbo Liu, Member, IEEE, Leonid Razoumov,
More informationCHANNEL ESTIMATION USING EXTENDED KALMAN FILTER WITH SLICED MULTI MODULUS BLIND EQUALIZATION ALGORITHM (SMMA)
Journa of Theoretica and Appied nformation Technoogy 005-06 JATT & LLS. A rights reserved. SSN: 99-8645 www.jatit.org E-SSN: 87-395 CHANNEL ESTMATON USNG EXTENDED KALMAN FLTE WTH SLCED MULT MODULUS BLND
More informationA Low Complexity VCS Method for PAPR Reduction in Multicarrier Code Division Multiple Access
0 JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA, VOL. 5, NO., JUNE 007 A Low Compexity VCS Method for PAPR Reduction in Muticarrier Code Division Mutipe Access Si-Si Liu, Yue iao, Qing-Song Wen,
More informationRateless Codes for the Gaussian Multiple Access Channel
Rateess Codes for the Gaussian Mutipe Access Channe Urs Niesen Emai: uniesen@mitedu Uri Erez Dept EE, Te Aviv University Te Aviv, Israe Emai: uri@engtauaci Devavrat Shah Emai: devavrat@mitedu Gregory W
More informationChannel Estimation for SC-FDE Systems Using Frequency Domain Multiplexed Pilots
Channe Estimation for SC-FDE Systems Using Frequency Domain utipexed Piots Chan-Tong am, David D. Faconer and Forence Danio-emoine BCWS, Careton Univ., Canada K1S 5B6 Emai: {amc, ddf, fdanio@sce.careton.ca
More informationSelf-Interference Canceller for Full-Duplex Radio Relay Station Using Virtual Coupling Wave Paths
Sef-Interference Canceer for Fu-Dupex Radio Reay Station Using Virtua Couping Wave Paths Kazunori Hayashi Yasuo Fujishima Megumi Kaneko Hideaki Sakai Riichi Kudo and Tomoki Murakami Graduate Schoo of Informatics,
More informationAdaptive Bit and Power Allocation for Rate and Margin Maximization in V-BLAST System
Revista Científica Periódica - Teecomunicações ISSN 56-338 Adaptive Bit and Power Aocation for Rate and argin aximization in V-BAST System Dror eiri and Irving Kaet Aeis Photonics, Netanya, Israe (emai:
More informationOn the Capacity of OFDM Systems with Receiver I/Q Imbalance
On the Capacity of OFDM Systems with Receiver I/Q Imbalance Stefan Krone and Gerhard Fettweis Vodafone Chair Mobile Communications Systems Technische Universität Dresden, 16 Dresden, Germany E-mail: {stefan.krone,
More informationBER Performance Analysis of Cognitive Radio Physical Layer over Rayleigh fading Channel
Internationa Journa of Computer ppications (0975 8887) Voume 5 No.11, Juy 011 BER Performance naysis of Cognitive Radio Physica Layer over Rayeigh fading mandeep Kaur Virk Dr. B R mbedkar Nationa Institute
More informationFast Hybrid DFT/DCT Architecture for OFDM in Cognitive Radio System
Fast Hybrid DF/D Architecture for OFDM in ognitive Radio System Zhu hen, Moon Ho Lee, Senior Member, EEE, hang Joo Kim 3 nstitute of nformation&ommunication, honbuk ationa University, Jeonju, 56-756,Korea
More informationBlind Multiuser Detection in Asynchronous DS-CDMA Systems over Nakagami-m Fading Channels
Bind Mutiuser Detection in Asynchronous DS-CDMA Systems over akagami-m Fading Channes Vinay Kumar Pamua JU Kakinada, Andhra Pradesh, India 533 003 pamuavk@yahoo.com ABSRAC his paper presents a technique
More informationResource Allocation via Linear Programming for Multi-Source, Multi-Relay Wireless Networks
Resource Aocation via Linear Programming for Muti-Source, Muti-Reay Wireess Networs Nariman Farsad and Andrew W Ecford Dept of Computer Science and Engineering, Yor University 4700 Keee Street, Toronto,
More informationSatellite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic
Sateite Link Layer Performance Using Two Copy SR-ARQ and Its Impact on TCP Traffic Jing Zhu and Sumit Roy Department of Eectrica Engineering, University of Washington Box 352500, Seatte, WA 98195, USA
More informationEfficient Downlink Channel Reconstruction for FDD Multi-Antenna Systems
1 Efficient Downink Channe Reconstruction for FDD Muti-Antenna Systems Yu Han, Tien-Hao Hsu, Chao-Kai Wen, Kai-Kit Wong, and Shi Jin Nationa Mobie Communications Research Laboratory, Southeast University,
More informationA capacity-approaching coded modulation scheme for non-coherent fading channels
Louisiana State University LSU Digita Commons LSU Master's Theses Graduate Schoo 008 A capacity-approaching coded moduation scheme for non-coherent fading channes Youngjeon Cho Louisiana State University
More informationCoverage and Rate Analysis for Millimeter Wave Cellular Networks
Coverage and Rate Anaysis for Miimeter Wave Ceuar Networks Tianyang Bai and Robert W. Heath, Jr. arxiv:42.643v3 cs.it 8 Oct 24 Abstract Miimeter wave mmwave) hods promise as a carrier frequency for fifth
More informationCOMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS
COMPARATIVE ANALYSIS OF ULTRA WIDEBAND (UWB) IEEE80.15.3A CHANNEL MODELS FOR nlos PROPAGATION ENVIRONMENTS Ms. Jina H. She PG Student C.C.E.T, Wadhwan, Gujarat, Jina_hshet@yahoo.com Dr. K. H. Wandra Director
More informationCopyright 2000 IEEE. IEEE Global Communications Conference (Globecom 2000), November 27 - December 1, 2000, San Francisco, California, USA
Copyright 2000 EEE. EEE Goba Communications Conference (Gobecom 2000), November 27 - December 1, 2000, San Francisco, Caifornia, USA Persona use of this materia is permitted. owever, permission to reprint/repubish
More informationTheoretical Analysis of Power Saving in Cognitive Radio with Arbitrary Inputs
Theoretica Anaysis of Power Saving in Cognitive Radio with Arbitrary Inputs Ahmed Sohai, Mohammed A-Imari, Pei Xiao, and Barry G. Evans Abstract In Orthogona Frequency Division Mutipexing (OFDM based cognitive
More informationSimulation Model for a Frequency-Selective Land Mobile Satellite Communication Channel
Vo 3, No., Simuation Mode for a Frequency-Seective Land Mobie Sateite Communication Channe Abstract Zachaeus K. Adeyemo, Oumide O. Ajayi *, Festus K. Ojo 3. Department of Eectronic and Eectrica Engineering,
More informationSparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems
Sparse Channe Estimation Based on Compressed Sensing for Massive MIMO Systems Chenhao Qi, Yongming Huang, Shi Jin and Lenan Wu Schoo of Information Science and Engineering, Southeast University, Nanjing
More informationPROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER FDMA SYSTEMS
PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLE-CARRIER SYSTEMS Junsung Lim, Hyung G. Myung, Kyungjin Oh and David J. Goodman Dept. of Eectrica and Computer Engineering, Poytechnic University 5 Metrotech
More informationUplink Massive MIMO SIR Analysis: How do Antennas Scale with Users?
Upink Massive MIMO SIR Anaysis: How do Antennas Scae with Users? Tianyang Bai and Robert W. Heath, Jr. Wireess Networking and Communication Group The University of Texas at Austin 66 Guadaupe Street, C83,
More informationPerformance of Single User vs. Multiuser Modulation in Wireless Multicarrier (MC) Communications
erformance of Singe User vs. Mutiuser Moduation in Wireess Muticarrier (MC) Communications Anwaru Azim, ecturer, East West University Bangadesh Abstract-- he main objective of this paper is to compare
More informationB.Sathish Kumar 1, K.R.Shankar Kumar 2 1,2
A ove Approach of Linear Parae nterference Canceation in Upin OFDMA Systems with Carrier Freuency Offsets B.Sathish umar 1,.R.Shanar umar 1, Department of Eectronics Communication Engineering Sri Ramarishna
More informationResource Allocation via Linear Programming for Fractional Cooperation
1 Resource Aocation via Linear Programming for Fractiona Cooperation Nariman Farsad and Andrew W Ecford Abstract In this etter, resource aocation is considered for arge muti-source, muti-reay networs empoying
More informationProbability of Error Calculation of OFDM Systems With Frequency Offset
1884 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 49, NO. 11, NOVEMBER 2001 Probability of Error Calculation of OFDM Systems With Frequency Offset K. Sathananthan and C. Tellambura Abstract Orthogonal frequency-division
More informationEffect of Carrier Frequency Offset on Channel Capacity in Multi User OFDM-FDMA Systems
Effect of Carrier Frequency Offset on Channe Capacity in Muti User OFDM-FDMA Systems Martin Stemick and Hermann Rohing Abstract Orthogona Frequency Diision Mutipexing (OFDM is a ery robust transmission
More informationUltra Wideband Impulse Radio Systems with Multiple Pulse Types 1
1 Utra Wideband Impuse Radio Systems with Mutipe Puse Types 1 Sinan Gezici, Student Member, IEEE, Zafer Sahinogu 3, Member, IEEE, Hisashi Kobayashi, Life Feow, IEEE, and H. Vincent Poor, Feow, IEEE arxiv:cs/5168v1
More informationRobust Blind Multiuser Detection in DS-CDMA Systems over Nakagami-m Fading Channels with Impulsive Noise including MRC Receive Diversity
Robust Bind Mutiuser Detection in DS-CDMA Systems over Nakagami-m Fading Channes with Impusive Noise incuding MRC Receive Diversity Vinay Kumar Pamua, Member, IEEE, Department of ECE, MIC Coege of echnoogy,
More informationTop Down Design of Joint MODEM and CODEC Detection Schemes for DSRC Coded-FSK Systems over High Mobility Fading Channels
Top Down Design of Joint MODEM and CODEC Detection Schemes for DSRC Coded-FSK Systems over High Mobiity Fading Channes Juinn-Horng Deng, Feng-Chin Hsiao, and Yi-Hsin Lin Department of Communications Engineering
More informationAnalysis and Compensation of I/Q Imbalance Effects for Uplink Multiuser Systems
Institute for Integrated Signa Processing Systems (ISS) RWTH Aachen University Prof. Dr.-Ing. Gerd Ascheid Master Thesis : M 042 Anaysis and Compensation of I/Q Imbaance Effects for Upink Mutiuser Systems
More informationAvailability Analysis for Elastic Optical Networks with Multi-path Virtual Concatenation Technique
Progress In Eectromagnetics Research Symposium Proceedings, Guangzhou, China, Aug. 25 28, 2014 849 Avaiabiity Anaysis for Eastic Optica Networks with Muti-path Virtua Concatenation Technique Xiaoing Wang
More informationInformation Theoretic Radar Waveform Design for Multiple Targets
1 Information Theoretic Radar Waveform Design for Mutipe Targets Amir Leshem and Arye Nehorai Abstract In this paper we use information theoretic approach to design radar waveforms suitabe for simutaneousy
More informationSabitha Gauni and Kumar Ramamoorthy
Journal of Computer Science 10 (): 198-09, 014 ISSN: 1549-3636 014 doi:10.3844/jcssp.014.198.09 Published Online 10 () 014 (http://www.thescipub.com/jcs.toc) ANALYSIS OF REDUCTION IN COMPLEXITY OF MULTIPLE
More informationOn the Relationship Between Queuing Delay and Spatial Degrees of Freedom in a MIMO Multiple Access Channel
On the Reationship Between Queuing Deay and Spatia Degrees of Freedom in a IO utipe Access Channe Sriram N. Kizhakkemadam, Dinesh Rajan, andyam Srinath Dept. of Eectrica Engineering Southern ethodist University
More informationCAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS
CAPACITY OF UNDERWATER WIRELESS COMMUNICATION CHANNEL WITH DIFFERENT ACOUSTIC PROPAGATION LOSS MODELS Susan Joshy and A.V. Babu, Department of Eectronics & Communication Engineering, Nationa Institute
More informationFBMC/OQAM for the Asynchronous Multi-User MIMO Uplink
FBMC/OQAM for the Asynchronous Muti-User MIMO Upin Yao Cheng, Peng Li, and Martin Haardt Communications Research Laboratory, Imenau University of Technoogy P. O. Box 100565, D-98694 Imenau, Germany {y.cheng,
More informationSpace-Time Focusing Transmission in Ultra-wideband Cooperative Relay Networks
ICUWB 2009 (September 9-11, 2009) 1 Space-Time Focusing Transmission in Utra-wideband Cooperative Reay Networks Yafei Tian and Chenyang Yang Schoo of Eectronics and Information Engineering, Beihang University
More informationSelf-interference Handling in OFDM Based Wireless Communication Systems
Self-interference Handling in OFDM Based Wireless Communication Systems Tevfik Yücek yucek@eng.usf.edu University of South Florida Department of Electrical Engineering Tampa, FL, USA (813) 974 759 Tevfik
More informationMIMO Preamble Design with a Subset of Subcarriers in OFDM-based WLAN
MIMO Preamble Design with a Subset of Subcarriers in OFDM-based WLAN Ting-Jung Liang and Gerhard Fettweis Vodafone Chair Mobile Communications Systems, Dresden University of Technology, D-6 Dresden, Germany
More informationPRECODER AND EQUALIZER DESIGN FOR MULTI-USER MIMO FBMC/OQAM WITH HIGHLY FREQUENCY SELECTIVE CHANNELS. {leo.baltar,
PRECODER AD EQUALIZER DESIG FOR MULTI-USER MIMO FBMC/OQAM WITH HIGHLY FREQUECY SELECTIVE CHAELS Yao Cheng, Leonardo G. Batar, Martin Haardt, and Josef A. osse Communications Research Laboratory Imenau
More informationResource Allocation for Network-Integrated Device-to-Device Communications Using Smart Relays
Resource Aocation for Network-Integrated Device-to-Device Communications Using Smart Reays Monowar Hasan and Ekram Hossain Department of Eectrica and Computer Engineering, University of Manitoba, Winnipeg,
More informationWiMAX Based 60 GHz Millimeter-Wave Communication for Intelligent Transport System Applications
Internationa Journa of Wireess & Mobie Networks (IJWMN) Vo. 3, No. 2, Apri 211 WiMAX Based 6 GHz Miimeter-Wave Communication for Inteigent Transport System Appications 1 Bera Rabindranath, 2 Sarkar Subir
More informationCOMMON PHASE ERROR DUE TO PHASE NOISE IN OFDM - ESTIMATION AND SUPPRESSION
COMMON PHASE ERROR DUE TO PHASE NOISE IN OFDM - ESTIMATION AND SUPPRESSION Denis Petrovic, Wolfgang Rave and Gerhard Fettweis Vodafone Chair for Mobile Communications, Dresden University of Technology,
More informationAirborne Ultrasonic Position and Velocity Measurement Using Two Cycles of Linear-Period-Modulated Signal
Airborne Utrasonic Position and Veocity Measurement Using Two Cyces of Linear-Period-Moduated Signa Shinya Saito 1, Minoru Kuribayashi Kurosawa 1, Yuichiro Orino 1, and Shinnosuke Hirata 2 1 Department
More informationAdaptive low-rank channel estimation for multiband OFDM ultra-wideband communications
RESEARCH Open Access Adaptive ow-rank channe estimation for mutiband OFDM utra-wideband communications Chia-Chang Hu * and Shih-Chang Lee Abstract In this paper, an adaptive channe estimation scheme based
More informationPhysical layer metrics for vertical handover toward OFDM-based networks
RESEARCH Open Access Physica ayer metrics for vertica handover toward OFDM-based networks Mohamed Rabie Ouarbi *, Francois-Xavier Socheeau, Sebastien Houcke and Abdedjai Aïssa-E-Bey Abstract The emerging
More informationPerformance Analysis of Non-Orthogonal Multiple Access under I/Q Imbalance
This artice has been accepted for pubication in a future issue of this journa, but has not been fuy edited. Content may change prior to fina pubication. Citation information: DOI 10.1109/ACCESS.2018.2820074,
More informationSpatial Characteristics of 3D MIMO Wideband Channel in Indoor Hotspot Scenario at 3.5 GHz
Spatia Characteristics of 3D MIMO Wideband Channe in Indoor Hotspot Scenario at 3.5 GHz ei Tian Jianhua Zhang Yuxiang Zhang State Key ab. of Networking and Switching Tech. Beijing Univ. of osts and Teecom.
More informationTEMPORAL FAIRNESS ENHANCED SCHEDULING FOR COOPERATIVE RELAYING NETWORKS IN LOW MOBILITY FADING ENVIRONMENTS
TEMPORAL FAIRNESS ENHANCED SCHEDULING FOR COOPERATIVE RELAYING NETWORKS IN LOW MOBILITY FADING ENVIRONMENTS Ingmar Hammerström, Jian Zhao, and Armin Wittneben Swiss Federa Institute of Technoogy (ETH)
More informationJoint Optimal Power Allocation and Relay Selection with Spatial Diversity in Wireless Relay Networks
Proceedings of SDR'11-WInnComm-Europe, 22-24 Jun 2011 Joint Optima Power Aocation and Reay Seection with Spatia Diversity in Wireess Reay Networks Md Habibu Isam 1, Zbigniew Dziong 1, Kazem Sohraby 2,
More informationTHE EMERGING IEEE ad wireless local area
1 Suboptima Spatia Diversity Scheme for 60 Gz Miimeter-Wave WLAN Zhenyu Xiao, Member, IEEE arxiv:1511.02326v1 [cs.it] 7 Nov 2015 Abstract This etter revisits the equa-gain (EG) spatia diversity technique,
More informationOrthogonal Multicode Channelization Applied to Subsampling Digital UWB Receiver
Orthogona Muticode Channeization Appied to Subsamping Digita UWB Receiver Yves Vanderperren, Geert Leus, Wim Dehaene EE Dept. ESAT-MICAS), Kathoieke Universiteit Leuven, Begium Facuty of EE, Mathematics
More informationBest Relay Selection Using SNR and Interference Quotient for Underlay Cognitive Networks
IEEE ICC 1 - Wireess Communications Symposium Best Reay Seection Using SNR and Interference Quotient for Underay Cognitive Networks Syed Imtiaz Hussain 1, Mohamed M. Abdaah 1, Mohamed-Sim Aouini 1,, Mazen
More informationDetection of Single vs Multiple Antenna Transmission Systems Using Pilot Data
Detection of Singe vs Mutipe Antenna Transmission Systems Using Piot Data Thakshia Wimaaeewa Member, IEEE, Pramod K. Varshney Feow, IEEE and Wei Su Feow, IEEE arxiv:6.3v [cs.it] 9 Aug 6 Abstract In this
More informationDealing with Link Blockage in mmwave Networks: D2D Relaying or Multi-beam Reflection?
Deaing with Lin Bocage in mmwave etwors: DD Reaying or Muti-beam Refection? Mingjie Feng, Shiwen Mao Dept. Eectrica & Computer Engineering Auburn University, Auburn, AL 36849-5, U.S.A. Tao Jiang Schoo
More informationAn Equalization Technique for Orthogonal Frequency-Division Multiplexing Systems in Time-Variant Multipath Channels
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL 47, NO 1, JANUARY 1999 27 An Equalization Technique for Orthogonal Frequency-Division Multiplexing Systems in Time-Variant Multipath Channels Won Gi Jeon, Student
More informationOn the optimality of the null subcarrier placement for blind carrier offset estimation in OFDM systems Wu, Y.; Attallah, S.; Bergmans, J.W.M.
On the optimaity of the nu subcarrier pacement for bind carrier offset estimation in OFDM systems Wu, Y.; Attaah, S.; Bergmans, J.W.M. Pubished in: IEEE Transactions on Vehicuar Technoogy DOI: 0.09/TVT.2008.2005574
More informationComparison of ML and SC for ICI reduction in OFDM system
Comparison of and for ICI reduction in OFDM system Mohammed hussein khaleel 1, neelesh agrawal 2 1 M.tech Student ECE department, Sam Higginbottom Institute of Agriculture, Technology and Science, Al-Mamon
More informationPHASE NOISE COMPENSATION FOR OFDM WLAN SYSTEMS USING SUPERIMPOSED PILOTS
PHASE NOISE COMPENSATION FOR OFDM WLAN SYSTEMS USING SUPERIMPOSED PILOTS Angiras R. Varma, Chandra R. N. Athaudage, Lachlan L.H Andrew, Jonathan H. Manton ARC Special Research Center for Ultra-Broadband
More informationProject: IEEE P Working Group for Wireless Personal Area Networks N
Project: IEEE P802.15 Working Group for Wireess Persona Area Networks N (WPANs( WPANs) Tite: [MATLAB Simuation Program for TSV-channe mode] Date Submitted: [September 18, 2006] Source: [Hiroshi Harada,
More informationTime-domain Techniques in EMI Measuring Receivers. Technical and Standardization Requirements
Time-domain Techniques in EMI Measuring Receivers Technica and Standardization Requirements CISPR = Huge, Sow, Compex, CISPR = Internationa Specia Committee on Radio Interference Technica committee within
More informationPerformance evaluation of IB-DFE-based strategies for SC-FDMA systems
Siva et a EURASIP Journa on Wireess Communications and Networking 013, 013:9 http://jwcneurasipjournascom/content/013/1/9 RESEARCH Performance evauation of IB-DFE-based strategies for SC-FDMA systems Adão
More informationCross-layer queuing analysis on multihop relaying networks with adaptive modulation and coding K. Zheng 1 Y. Wang 1 L. Lei 2 W.
www.ietd.org Pubished in IET Communications Received on 18th June 2009 Revised on 30th Juy 2009 ISSN 1751-8628 Cross-ayer queuing anaysis on mutihop reaying networks with adaptive moduation and coding
More informationCHAPTER 3 REDUCTION OF INTERCARRIER INTERFERENCE
46 CHAPTER 3 REDUCTIO OF ITERCARRIER ITERFERECE 3.1 ITERCARRIER ITERFERECE I OFDM SYSTEMS OFDM is a spectray efficient uticarrier oduation technique and it handes frequency seective channes we when cobined
More informationBlock-Level Unitary Query: Incorporating Orthogonal-like Space-time Code with Query Diversity for MIMO Backscatter RFID
1 Bock-Leve Unitary Query: Incorporating Orthogona-ike Space-time Code with Query Diversity for MIMO Backscatter RFID Chen He, Member, IEEE, Z. Jane Wang, Senior Member, IEEE, and Victor C.M. Leung, Feow,
More informationPulsed RF Signals & Frequency Hoppers Using Real Time Spectrum Analysis
Pused RF Signas & Frequency Hoppers Using Rea Time Spectrum Anaysis 1 James Berry Rohde & Schwarz Pused Rea Time and Anaysis Frequency Seminar Hopper Agenda Pused Signas & Frequency Hoppers Characteristics
More informationEstimation of I/Q Imblance in Mimo OFDM System
Estimation of I/Q Imblance in Mimo OFDM System K.Anusha Asst.prof, Department Of ECE, Raghu Institute Of Technology (AU), Vishakhapatnam, A.P. M.kalpana Asst.prof, Department Of ECE, Raghu Institute Of
More informationIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. -, NO. -, - 1
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. -, NO. -, - QuaDRiGa: A 3-D Muti-Ce Channe Mode with Time Evoution for Enabing Virtua Fied Trias Stephan Jaecke, Member, IEEE, Leszek Raschkowski, Kai
More informationHybrid Digital-Analog Joint Source Channel Coding for Broadcast Multiresolution Communications
217 25th European Signa Processing Conference (EUSIPCO) Hybrid Digita-Anaog Joint Source Channe Coding for Broadcast Mutiresoution Communications O. Fresnedo, P. Suárez-Casa, L. Castedo Department of Eectronics
More informationSecrecy Outage Analysis over Correlated Composite Nakagami-m/Gamma Fading Channels
Secrecy Outage Anaysis over Correated Composite Nakagami-m/Gamma Fading Channes George C. Aexandropouos, Senior Member, IEEE and Kostas P. Peppas, Senior Member, IEEE arxiv:7.9v [cs.it] 3 Oct 7 Abstract
More informationThe Impact of Imperfect One Bit Per Subcarrier Channel State Information Feedback on Adaptive OFDM Wireless Communication Systems
The Impact of Imperfect One Bit Per Subcarrier Channel State Information Feedback on Adaptive OFDM Wireless Communication Systems Yue Rong Sergiy A. Vorobyov Dept. of Communication Systems University of
More informationIterative Transceiver Design for Opportunistic Interference Alignment in MIMO Interfering Multiple-Access Channels
Journa of Communications Vo. 0 No. February 0 Iterative Transceiver Design for Opportunistic Interference Aignment in MIMO Interfering Mutipe-Access Channes Weipeng Jiang ai Niu and Zhiqiang e Schoo of
More informationChannel Estimation for OFDM Systems in case of Insufficient Guard Interval Length
Channel Estimation for OFDM ystems in case of Insufficient Guard Interval Length Van Duc Nguyen, Michael Winkler, Christian Hansen, Hans-Peter Kuchenbecker University of Hannover, Institut für Allgemeine
More informationFREQUENCY OFFSET ESTIMATION IN COHERENT OFDM SYSTEMS USING DIFFERENT FADING CHANNELS
FREQUENCY OFFSET ESTIMATION IN COHERENT OFDM SYSTEMS USING DIFFERENT FADING CHANNELS Haritha T. 1, S. SriGowri 2 and D. Elizabeth Rani 3 1 Department of ECE, JNT University Kakinada, Kanuru, Vijayawada,
More informationOptimal and Suboptimal Finger Selection Algorithms for MMSE Rake Receivers in Impulse Radio Ultra-Wideband Systems 1
Optima and Suboptima Finger Seection Agorithms for MMSE Rake Receivers in Impuse Radio Utra-Wideband Systems Sinan Gezici, Mung Chiang, H. Vincent Poor and Hisashi Kobayashi Department of Eectrica Engineering
More informationReducing Intercarrier Interference in OFDM Systems by Partial Transmit Sequence and Selected Mapping
Reducing Intercarrier Interference in OFDM Systems by Partial Transmit Sequence and Selected Mapping K.Sathananthan and C. Tellambura SCSSE, Faculty of Information Technology Monash University, Clayton
More informationA Novel Method for Doppler and DOD- DOA Jointly Estimation Based on FRFT in Bistatic MIMO Radar System
7 Asia-Pacific Engineering and Technoogy Conference (APETC 7) ISBN: 978--6595-443- A Nove Method for Dopper and DOD- DOA Jointy Estimation Based on FRFT in Bistatic MIMO Radar System Derui Song, Li Li,
More information