Bit Error Rate Calculation for OFDM with Synchronization Errors in Time and Frequency Selective Fading Channels

 Molly Reeves
 1 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, D0106 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 onetap equaization by cycic prefix insertation. Conversey, the sensitivity of OFDM systems to carrier frequency offset CFO) is higher than that of singecarrier systems. In present OFDM standards, such as IEEE80.11a/g or DVBT, 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 SNRoss or bit error rates for the AWGN channe. The authors of [7] extend their anaysis to frequencyseective 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 Npoint FFT. The data is MQAM 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 Gaussianike distributed random variabe.) A oneofdmsymboong 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 zeroforcing 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 64point FFT. The data is 4QAMmoduated to different subcarriers, then transformed to the time domain signa by IFFT operation and prepended by a 16tap 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, 4QAM 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 singecarrier systems and derived the correspondent symbo error rate and bit error rate of QAMmoduated 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 singecarrier 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 zeromean 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 zeromean 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 zeromean 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 MQAM consteation [9]. In a MQAM consteation there are M dm) different possibe bit positions with respect to the MQAM consteation. This fact is iustrated in Fig.1 using a 4QAM consteation. Taking a coser ook to the 4QAM 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 mth 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 MQAM 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 intercarrier interference term is a compex zeromean 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 MQAM 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 4QAM 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 mth 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 MQAM 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 4QAM 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 crosscorreation 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 zeromean 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 crosscorreation 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 MQAM 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 MQAM 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 MQAM 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 MQAM 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 autocorreation 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.VA 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 4QAM 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 AutoCorreation 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 autocorreation 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.VA. 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 4QAM BER vs. SNR under f 3% for different channe autocorreation 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 zeromean Gaussian RV of variance σ f under AWGN channe conditions. In [4] and [8] it was shown that the variance of f reaches the CramerRao 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 crossreference 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. CarrierFrequency 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: McGrawHi, [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 FrequencySeective 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 MutiAmpitude 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 MutiCarrier 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
Research 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 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, D006 Dresden, Gerany {krondorf,fettweis}@ifn.et.tudresden.de,
More informationPerformance Measures of a UWB MultipleAccess System: DS/CDMA versus TH/PPM
Performance Measures of a UWB MutipeAccess System: DS/CDMA versus TH/PPM Aravind Kaias and John A. Gubner Dept. of Eectrica Engineering University of WisconsinMadison Madison, WI 53706 akaias@wisc.edu,
More informationCHANNEL ESTIMATION PERFORMANCE FOR ZEROOVERHEAD CHANNEL ACCESS IN MOBILE SENSOR NETWORKS
CANNEL ESTIMATION PERFORMANCE FOR ZEROOVEREAD 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 MultiUser MIMO OFDM Systems
Joint Detection and CFO Compensation in Asynchronous MutiUser MIMO OFDM Systems Vincent Kotzsch, Jörg Hofed and Gerhard Fettweis Vodafone Chair Mobie Communications Systems, TUDresden, Germany Emai:
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, D82234, Wessing, Germany. Phone/emai:
More informationChannel Estimation for SCFDE Systems Using Frequency Domain Multiplexed Pilots
Channe Estimation for SCFDE Systems Using Frequency Domain utipexed Piots ChanTong am, David D. Faconer and Forence Danioemoine BCWS, Careton Univ., Canada K1S 5B6 Emai: {amc, ddf, fdanio@sce.careton.ca
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 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 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 Email: {stefan.krone,
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 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 AImari, Pei Xiao, and Barry G. Evans Abstract In Orthogona Frequency Division Mutipexing (OFDM based cognitive
More informationPROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLECARRIER FDMA SYSTEMS
PROPORTIONAL FAIR SCHEDULING OF UPLINK SINGLECARRIER SYSTEMS Junsung Lim, Hyung G. Myung, Kyungjin Oh and David J. Goodman Dept. of Eectrica and Computer Engineering, Poytechnic University 5 Metrotech
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 informationEffect of Carrier Frequency Offset on Channel Capacity in Multi User OFDMFDMA Systems
Effect of Carrier Frequency Offset on Channe Capacity in Muti User OFDMFDMA Systems Martin Stemick and Hermann Rohing Abstract Orthogona Frequency Diision Mutipexing (OFDM is a ery robust transmission
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 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 informationRobust Blind Multiuser Detection in DSCDMA Systems over Nakagamim Fading Channels with Impulsive Noise including MRC Receive Diversity
Robust Bind Mutiuser Detection in DSCDMA Systems over Nakagamim Fading Channes with Impusive Noise incuding MRC Receive Diversity Vinay Kumar Pamua, Member, IEEE, Department of ECE, MIC Coege of echnoogy,
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 informationSabitha Gauni and Kumar Ramamoorthy
Journal of Computer Science 10 (): 19809, 014 ISSN: 15493636 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 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, MohamedSim Aouini 1,, Mazen
More informationTHE EMERGING IEEE ad wireless local area
1 Suboptima Spatia Diversity Scheme for 60 Gz MiimeterWave WLAN Zhenyu Xiao, Member, IEEE arxiv:1511.02326v1 [cs.it] 7 Nov 2015 Abstract This etter revisits the equagain (EG) spatia diversity technique,
More informationAdaptive lowrank channel estimation for multiband OFDM ultrawideband communications
RESEARCH Open Access Adaptive owrank channe estimation for mutiband OFDM utrawideband communications ChiaChang Hu * and ShihChang Lee Abstract In this paper, an adaptive channe estimation scheme based
More informationEffect of Random Walk Phase Noise on MIMO Measurements
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.mer.com Effect of Random Wak Phase Noise on MIMO Measurements Peter Amers, Shurjee Wyne, Fredrik Tufvesson and Andreas Moisch TR2559 Juy 25 Abstract
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 informationBlockLevel Unitary Query: Incorporating Orthogonallike Spacetime Code with Query Diversity for MIMO Backscatter RFID
1 BockLeve Unitary Query: Incorporating Orthogonaike Spacetime 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 informationIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. , NO. ,  1
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. , NO. ,  QuaDRiGa: A 3D MutiCe Channe Mode with Time Evoution for Enabing Virtua Fied Trias Stephan Jaecke, Member, IEEE, Leszek Raschkowski, Kai
More informationMultiTarget Localization of Breathing Humans
MutiTarget Locaization of Breathing Humans ChangKyeong Kim, JoonYong Lee, Taechong Cho, Dongbok Ki, Bong Ho Cho, and Jihoon Yoon Dept. of Information & Technoogy, Handong University, Pohang 7978, Korea
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 UltraBroadband
More informationTimedomain Techniques in EMI Measuring Receivers. Technical and Standardization Requirements
Timedomain Techniques in EMI Measuring Receivers Technica and Standardization Requirements CISPR = Huge, Sow, Compex, CISPR = Internationa Specia Committee on Radio Interference Technica committee within
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, AlMamon
More informationOptimal Bandwidth Allocation for Source Coding, Channel Coding and Spreading in a CDMA System
ptima Bandwidth Aocation or Source oding, hanne oding and Spreading in a DA System Qinghua Zhao, Pamea. osman, and aurence B. istein Department o Eectrica and omputer Engineering, University o aiornia,
More informationGRAY CODE FOR GENERATING TREE OF PERMUTATION WITH THREE CYCLES
VO. 10, NO. 18, OCTOBER 2015 ISSN 18196608 GRAY CODE FOR GENERATING TREE OF PERMUTATION WITH THREE CYCES Henny Widowati 1, Suistyo Puspitodjati 2 and Djati Kerami 1 Department of System Information, Facuty
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 informationarxiv: v1 [cs.it] 22 Jul 2014
MODULATION FORMATS AND WAVEFORMS FOR THE PHYSICAL LAYER OF 5G WIRELESS NETWORKS: WHO WILL BE THE HEIR OF OFDM? Paoo Banei, Stefano Buzzi, Giuio Coavope, Andrea Modenini, Fredrik Rusek, and Aessandro Ugoini
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 informationCommunication Systems
Communication Systems 1. A basic communication system consists of (1) receiver () information source (3) user of information (4) transmitter (5) channe Choose the correct sequence in which these are arranged
More informationWorst case delay analysis for a wireless pointtopoint transmission
Worst case deay anaysis for a wireess pointtopoint transmission Katia JaffrèsRunser University of Tououse IRIT  INPT ENSEEIHT Tououse, France Emai: katia.jaffresrunser@irit.fr Abstract Wireess technoogies
More informationOn optimizing low SNR wireless networks using network coding
On optimizing ow SNR wireess networks using network coding Mohit Thakur Institute for communications engineering, Technische Universität München, 80290, München, Germany. Emai: mohit.thakur@tum.de Murie
More informationPerformance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels
Performance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels Abstract A Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to
More information1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017
1860 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 2, FEBRUARY 2017 Correspondence NearOptima Signa Detector Based on Structured Compressive Sensing for Massive SMMIMO Zhen Gao, Lingong Dai,
More informationEstimation and Control of Lateral Displacement of Electric Vehicle Using WPT Information
Estimation and Contro of Latera Dispacement of Eectric Vehice Using WPT Information Pakorn Sukprasert Binh Minh Nguyen Hiroshi Fujimoto Department of Eectrica Engineering and Information Systems, The University
More informationOn Rake Reception of Ultra Wideband Signals over Multipath Channels from Energy Capture Perspective
IEICE TRANS. FUNDAMENTALS, VOL.E88 A, NO.9 SEPTEMBER 2005 2339 PAPER Specia Section on Utra Wideband Systems On Rake Reception of Utra Wideband Signas over Mutipath Channes from Energy Capture Perspective
More informationHadamardCoded Modulation for Visible Light Communications Mohammad Noshad, Member, IEEE, and Maïté BrandtPearce, Senior Member, IEEE
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 64, NO. 3, MARCH 2016 1167 HadamardCoded Moduation for Visibe Light Communications Mohammad Noshad, Member, IEEE, and Maïté BrandtPearce, Senior Member, IEEE
More informationAN Ω(D log(n/d)) LOWER BOUND FOR BROADCAST IN RADIO NETWORKS
SIAM J. COMPUT. c 1998 Society for Industria and Appied Mathematics Vo. 27, No. 3, pp. 702 712, June 1998 008 AN Ω(D og(n/d)) LOWER BOUND FOR BROADCAST IN RADIO NETWORKS EYAL KUSHILEVITZ AND YISHAY MANSOUR
More informationCAN FD system design
icc 215 CAN FD system design Dr.  Ing. M. Schreiner Daimer Research and Deveopment Abstract The objective of this paper is to give genera design rues for the physica ayer of CAN FD networks. As an introduction
More informationESTIMATION OF FREQUENCY SELECTIVITY FOR OFDM BASED NEW GENERATION WIRELESS COMMUNICATION SYSTEMS
ESTIMATION OF FREQUENCY SELECTIVITY FOR OFDM BASED NEW GENERATION WIRELESS COMMUNICATION SYSTEMS Hüseyin Arslan and Tevfik Yücek Electrical Engineering Department, University of South Florida 422 E. Fowler
More informationOn the Relationship Between Capacity and Distance in an Underwater Acoustic Communication Channel
On the Reationship Between Capacity and Distance in an Underwater Acoustic Communication Channe Miica Stojanovic Massachusetts Institute of Technoogy miitsa@mit.edu ABSTRACT Path oss of an underwater acoustic
More informationSimulative Investigations for Robust Frequency Estimation Technique in OFDM System
, pp. 187192 http://dx.doi.org/10.14257/ijfgcn.2015.8.4.18 Simulative Investigations for Robust Frequency Estimation Technique in OFDM System Kussum Bhagat 1 and Jyoteesh Malhotra 2 1 ECE Department,
More informationIterative Phase Noise Mitigation in MIMOOFDM Systems with Pilot Aided Channel Estimation
Iterative Phase Noise Mitigation in MIMOOFDM Systems with Pilot Aided Channel Estimation Steffen Bittner, Ernesto Zimmermann and Gerhard Fettweis Vodafone Chair Mobile Communications Systems Technische
More informationDistributed Resource Allocation for RelayAided DevicetoDevice Communication: A Message Passing Approach
Distributed Resource Aocation for ReayAided DevicetoDevice Communication: A Message Passing Approach Monowar Hasan and Ekram Hossain arxiv:406.323v [cs.ni] 2 Jun 204 Abstract Devicetodevice D2D communication
More informationCHAPTER 3 ADAPTIVE MODULATION TECHNIQUE WITH CFO CORRECTION FOR OFDM SYSTEMS
44 CHAPTER 3 ADAPTIVE MODULATION TECHNIQUE WITH CFO CORRECTION FOR OFDM SYSTEMS 3.1 INTRODUCTION A unique feature of the OFDM communication scheme is that, due to the IFFT at the transmitter and the FFT
More informationDistribution of Path Durations in Mobile AdHoc Networks and Path Selection
Distribution of ath Durations in Mobie AdHoc Networks and ath Seection Richard J. La and Yijie Han Abstract We investigate the issue of path seection in mutihop wireess networks with the goa of identifying
More informationThe Effect of Carrier Frequency Offsets on Downlink and Uplink MCDSCDMA
2528 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 19, NO. 12, DECEMBER 2001 The Effect of Carrier Frequency Offsets on Downlink and Uplink MCDSCDMA Heidi Steendam and Marc Moeneclaey, Senior
More informationOpenStaxCNX module: m Inductance. OpenStax College. Abstract
OpenStaxCNX modue: m42420 1 Inductance OpenStax Coege This work is produced by OpenStaxCNX and icensed under the Creative Commons Attribution License 3.0 Cacuate the inductance of an inductor. Cacuate
More informationUltrawideband Systems: Review
Utrawideband Systems: Review Wiaiporn Lee Department of Eectrica Engineering, Facuty of Engineering, King Mongkut s University of Technoogy North Bangkok, Bangkok, Thaiand, 10800 Emai: wiaiponrs@kmutnb.ac.th
More informationINTERNATIONAL TELECOMMUNICATION UNION 02/4%#4)/.!'!).34 ).4%2&%2%.#%
INTERNATIONAL TELECOMMUNICATION UNION )454 TELECOMMUNICATION STANDARDIZATION SECTOR OF ITU 02/4%#4)/!'!)34 )4%2&%2%#% #!,#5,!4)/ /& 6/,4!'% )$5#%$ )4/ 4%,%#/5)#!4)/,)%3 &2/ 2!$)/ 34!4)/ "2/!$#!343!$
More informationEnhancing IEEE n WLANs using grouporthogonal codedivision multiplex
Teecommun Syst (2008) 38: 37 44 DOI 101007/s112350089089x Enhancing IEEE 80211n WLANs using grouporthogona codedivision mutipex Guiem Femenias Feip RieraPaou Pubished onine: 18 March 2008 Springer
More informationEffects of Fading Channels on OFDM
IOSR Journal of Engineering (IOSRJEN) eissn: 22503021, pissn: 22788719, Volume 2, Issue 9 (September 2012), PP 116121 Effects of Fading Channels on OFDM Ahmed Alshammari, Saleh Albdran, and Dr. Mohammad
More informationPower Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks
roceedings of the 46th IEEE Conference on Decision and Contro New Oreans, LA, USA, Dec. 1214, 27 FrB2.5 ower Contro and Transmission Scheduing for Network Utiity Maximization in Wireess Networks Min Cao,
More informationTechniques for Mitigating the Effect of Carrier Frequency Offset in OFDM
IOSR Journal of Electronics and Communication Engineering (IOSRJECE) eissn: 22782834,p ISSN: 22788735.Volume 10, Issue 3, Ver. III (May  Jun.2015), PP 3137 www.iosrjournals.org Techniques for Mitigating
More informationFigure 1: Basic OFDM Model. 2013, IJARCSSE All Rights Reserved Page 1035
Volume 3, Issue 6, June 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com New ICI SelfCancellation
More informationURL: <http://dx.doi.org/ /sopo >
Citation: Tang Xuan Rajbhandari Sujan Popooa Wasiu Oyewoe Ghassemooy Zabih Muhammad Sajid Sheikh Leitgeb Erich and Kandus Gorazd (1) Performance of BPSK subcarrier intensity moduation freespace optica
More informationPerformance of Coarse and Fine Timing Synchronization in OFDM Receivers
Performance of Coarse and Fine Timing Synchronization in OFDM Receivers Ali A. Nasir ali.nasir@anu.edu.au Salman Durrani salman.durrani@anu.edu.au Rodney A. Kennedy rodney.kennedy@anu.edu.au Abstract The
More informationSURGE ARRESTERS FOR CABLE SHEATH PREVENTING POWER LOSSES IN M.V. NETWORKS
SURGE ARRESTERS FOR CABLE SHEATH PREVENTING POWER LOSSES IN M.V. NETWORKS A. Heiß EnergieAG (EAM), Kasse G. Bazer Darmstadt University of Technoogy O. Schmitt ABB Caor Emag Schatanagen, Mannheim B. Richter
More informationStudy of Turbo Coded OFDM over Fading Channel
International Journal of Engineering Research and Development eissn: 2278067X, pissn: 2278800X, www.ijerd.com Volume 3, Issue 2 (August 2012), PP. 5458 Study of Turbo Coded OFDM over Fading Channel
More informationPath Delay Estimation using Power Supply Transient Signals: A Comparative Study using Fourier and Wavelet Analysis
Path Deay Estimation using Power Suppy Transient Signas: A Comparative Study using Fourier and Waveet Anaysis Abhishek Singh, Jitin Tharian and Jim Pusqueic VLSI Research Laboratory Department of Computer
More information1 Interference Cancellation
Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.829 Fall 2017 Problem Set 1 September 19, 2017 This problem set has 7 questions, each with several parts.
More informationRobust Synchronization for DVBS2 and OFDM Systems
Robust Synchronization for DVBS2 and OFDM Systems PhD Viva Presentation Adegbenga B. Awoseyila Supervisors: Prof. Barry G. Evans Dr. Christos Kasparis Contents Introduction Single Frequency Estimation
More informationAnalytical Modeling of WiFi and LTELAA Coexistence: Throughput and Impact of Energy Detection Threshold
Anaytica Modeing of WiFi and LTELAA Coexistence: Throughput and Impact of Energy Detection Threshod Morteza Mehrnoush, Vanin Sathya, Sumit Roy, and Monisha Ghosh University of Washington, Seatte, WA99
More informationARandomAccessAlgorithmforLTEsystems
EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS Eur. Trans. Teecomms. 1; :1 1 RESEARCH ARTICLE ARandomAccessAgorithmforLTEsystems L. Sanguinetti, M. Morei and L. Marchetti University of Pisa, Department of
More informationCombined Phase Compensation and Power Allocation Scheme for OFDM Systems
Combined Phase Compensation and Power Allocation Scheme for OFDM Systems Wladimir Bocquet France Telecom R&D Tokyo 33 Shinjuku, 600022 Tokyo, Japan Email: bocquet@francetelecom.co.jp Kazunori Hayashi
More informationError Probability of Different Modulation Schemes for OFDM based WLAN standard IEEE a
Error Probability of Different Modulation Schemes for OFDM based WLAN standard IEEE 802.11a Sanjeev Kumar Asst. Professor/ Electronics & Comm. Engg./ Amritsar college of Engg. & Technology, Amritsar, 143001,
More informationCarrier Frequency Offset Estimation Algorithm in the Presence of I/Q Imbalance in OFDM Systems
Carrier Frequency Offset Estimation Algorithm in the Presence of I/Q Imbalance in OFDM Systems K. Jagan Mohan, K. Suresh & J. Durga Rao Dept. of E.C.E, Chaitanya Engineering College, Vishakapatnam, India
More informationA Gametheoretic Approach to Power Management in MIMOOFDM. Ad Hoc Networks. A Dissertation. Submitted to the Faculty. Drexel University.
A Gametheoretic Approach to Power Management in MIMOOFDM Ad Hoc Networks A Dissertation Submitted to the Facuty of Drexe University by Chao Liang in partia fufiment of the requirements for the degree
More informationOn the downlink capacity of TDD CDMA systems using a prerake
André No Barreto Dresden University of echnoogy Address : Dresden University of echnoogy Departent of Eectrica Engineering Mobie Counications Systes Dresden 0106 Gerany e : 49351  463 4660 Fax : 49351
More informationA SampleDecimation Based Fast Preamble Detection Algorithm
A SampeDecimation Based Fast Preambe Detection Agorithm Haining Zhang A Thesis in The Department of Eectrica and Computer Engineering Presented in Partia Fufiment of the Requirements for the Degree of
More informationCONECCT Transmit Antenna Selection For UWB Communication System Over IEEE a Channel
COECCT 25 579437 2 3 4 5 6 7 8 9 2 3 4 5 6 7 8 9 2 2 22 23 24 25 26 27 28 29 3 3 32 33 34 35 36 37 38 39 4 4 42 43 44 45 46 47 48 49 5 5 52 53 54 55 56 57 6 6 62 63 64 65 Transmit Antenna Seection For
More informationKalman Filter Channel Estimation Based Inter Carrier Interference Cancellation techniques In OFDM System
ISSN (Online) : 2398753 ISSN (Print) : 2347670 International Journal of Innovative Research in Science, Engineering and Technology Volume 3, Special Issue 3, March 204 204 International Conference on
More informationPerformance degradation of OFDM and MCCDMA to carrier phase jitter
Performance degradation of OFDM and MCCDMA to carrier phase jitter Nabila Soudani National Engineering School of Tunis, Tunisia ISET COM, SUP COM6 Tel Laboratory Telephone: (216) 98828984 Email: n.soudani@ttnet.tn
More informationAn Evaluation of Connectivity in Mobile Wireless Ad Hoc Networks
An Evauation of Connectivity in Mobie Wireess Ad Hoc Networks Paoo Santi Istituto di Informatica e Teematica Area dea Ricerca de CNR Via G.Moruzzi, 5624 Pisa Itay santi@iit.cnr.it Dougas M. Bough Schoo
More informationNAVAL POSTGRADUATE SCHOOL THESIS
NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS SIGNAL DETECTION AND FRAME SYNCHRONIZATION OF MULTIPLE WIRELESS NETWORKING WAVEFORMS by Keith C. Howland September 2007 Thesis Advisor: CoAdvisor:
More informationORTHOGONAL frequency division multiplexing
IEEE TRANSACTIONS ON BROADCASTING, VOL. 54, NO. 4, DECEMBER 2008 761 Effect and Compensation of Symbol Timing Offset in OFDM Systems With Channel Interpolation Abstract Symbol timing offset (STO) can result
More informationARTI: An Adaptive Radio Tomographic Imaging System
1 ARTI: An Adaptive Radio Tomographic Imaging System Ossi Katiokaio, Riku Jäntti Senior Member, IEEE and Nea Patwari Member, IEEE Abstract Radio tomographic imaging systems use received signa strength
More informationS PG Course in Radio Communications. Orthogonal Frequency Division Multiplexing Yu, ChiaHao. Yu, ChiaHao 7.2.
S72.4210 PG Course in Radio Communications Orthogonal Frequency Division Multiplexing Yu, ChiaHao chyu@cc.hut.fi 7.2.2006 Outline OFDM History OFDM Applications OFDM Principles Spectral shaping Synchronization
More informationTransmit Power Allocation for BER Performance Improvement in Multicarrier Systems
Transmit Power Allocation for Performance Improvement in Systems Chang Soon Par O and wang Bo (Ed) Lee School of Electrical Engineering and Computer Science, Seoul National University parcs@mobile.snu.ac.r,
More informationNonPreemptive Interrupt Scheduling for Safe Reuse of Legacy Drivers in RealTime Systems
NonPreemptive Interrupt Scheduing for Safe Reuse of Legacy Drivers in ReaTime Systems Tuio Facchinetti, Giorgio Buttazzo, Mauro Marinoni, and Giacomo Guidi University of Pavia, Itay {tuio.facchinetti,giorgio.buttazzo,
More informationPerformance and Complexity Comparison of Channel Estimation Algorithms for OFDM System
International Journal of Electrical & Computer Sciences IJECSIJENS Vol: 11 No: 02 6 Performance and Complexity Comparison of Channel Estimation Algorithms for OFDM System Saqib Saleem 1, QamarUlIslam
More informationLecture 13. Introduction to OFDM
Lecture 13 Introduction to OFDM Ref: AboutOFDM.pdf Orthogonal frequency division multiplexing (OFDM) is wellknown to be effective against multipath distortion. It is a multicarrier communication scheme,
More informationJoint Model for Fine Synchronization and Adaptive LMMSE Channel Estimation in Uplink OFDMA
Joint Model for Fine and Adaptive LMMSE Estimation in Uplink OFDMA Kamran Khan, Andreas Ibing, Dirk Dahlhaus Communications Laboratory, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany
More informationFFT Factorization Technique for OFDM System
International Journal of Computer Applications (975 8887) FFT Factorization Technique for OFDM System Tanvi Chawla Haryana College of Technology & Management, Kaithal, Haryana, India ABSTRACT For OFDM
More informationLocal Oscillators Phase Noise Cancellation Methods
IOSR Journal of Electronics and Communication Engineering (IOSRJECE) eissn: 22782834, p ISSN: 22788735. Volume 5, Issue 1 (Jan.  Feb. 2013), PP 1924 Local Oscillators Phase Noise Cancellation Methods
More informationMinimization of ICI Using Pulse Shaping in MIMO OFDM
Minimization of ICI Using Pulse Shaping in MIMO OFDM Vaibhav Chaudhary Research Scholar, Dept. ET&T., FETSSGI, CSVTU, Bhilai, India ABSTRACT: MIMO OFDM system is very popular now days in the field of
More informationImplementation of PV and PIV Control for Position Control of Servo Motor
IJSRD  Internationa Journa for Scientific Research & Deveopment Vo. 5, Issue 1, 2017 ISSN (onine): 23210613 Impementation of PV and PIV Contro for Position Contro of Servo Motor J.Priya 1 R.Rambrintha
More informationCHAPTER 2 CARRIER FREQUENCY OFFSET ESTIMATION IN OFDM SYSTEMS
4 CHAPTER CARRIER FREQUECY OFFSET ESTIMATIO I OFDM SYSTEMS. ITRODUCTIO Orthogonal Frequency Division Multiplexing (OFDM) is multicarrier modulation scheme for combating channel impairments such as severe
More informationSix Algorithms for Frequency Offset Estimation in OFDM Systems
I.J. Information Technology and Computer Science, 2014, 05, 3642 Published Online April 2014 in MECS (http://www.mecspress.org/) DOI: 10.5815/ijitcs.2014.05.05 Six Algorithms for Frequency Offset Estimation
More informationFPGA implementation of Generalized Frequency Division Multiplexing transmitter using NI LabVIEW and NI PXI platform
FPGA implementation of Generalized Frequency Division Multiplexing transmitter using NI LabVIEW and NI PXI platform Ivan GASPAR, Ainoa NAVARRO, Nicola MICHAILOW, Gerhard FETTWEIS Technische Universität
More informationChannel, Phase Noise, and Frequency Offset in OFDM Systems: Joint Estimation, Data Detection, and Hybrid CramérRao Lower Bound
Channel, Phase Noise, and Frequency Offset in OFDM Systems: Joint Estimation, Data Detection, and Hybrid CramérRao Lower Bound Omar H. Salim, Student Member, IEEE, Ali A. Nasir, Member, IEEE, Hani Mehrpouyan,
More informationPerformance and Complexity Comparison of Channel Estimation Algorithms for OFDM System
Performance and Complexity Comparison of Channel Estimation Algorithms for OFDM System Saqib Saleem 1, QamarUlIslam 2 Department of Communication System Engineering Institute of Space Technology Islamabad,
More informationFrequencydomain spacetime block coded singlecarrier distributed antenna network
Frequencydomain spacetime block coded singlecarrier distributed antenna network Ryusuke Matsukawa a), Tatsunori Obara, and Fumiyuki Adachi Department of Electrical and Communication Engineering, Graduate
More information