AN EFFICIENT LINK PERFOMANCE ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEMS
|
|
- Janis Kennedy
- 5 years ago
- Views:
Transcription
1 AN EFFICIENT LINK PERFOMANCE ESTIMATION TECHNIQUE FOR MIMO-OFDM SYSTEMS 1 K. A. Narayana Reddy, 2 G. Madhavi Latha, 3 P.V.Ramana 1 4 th sem, M.Tech (Digital Electronics and Communication Systems), Sree Vidyanikethan Engineering College, Tirupathi (aswartha.kn@gmail.com). 2 Asst. Professor Dept. of ECE, Sree Vidyanikethan Engineering College, Tirupathi. 3 HOD, Dept. of ECE, Sree Vidyanikethan Engineering College, Tirupathi Abstract_Adaptive modulation and coding (AMC) is a powerful technique to enhance the link performance by adjusting the transmission power, channel coding rates and modulation levels according to channel state information. In order to efficiently utilize the AMC scheme, an accurate signalto-noise ratio (SNR) value is normally required for determining the AMC level. In this paper, we propose an efficient link performance estimation technique for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with maximum likelihood (ML) receiver. The performance of ML detection (MLD) is estimated by using capacity bounds of two simple linear receivers. By analyzing the relation between the upper bound and the lower bound of the ML detector performance, we introduce an efficient way to determine the SNR for the ML receiver. I. INTRODUCTION Most wireless communication systems have been designed to support high-speed packet data transmissions. Those high speed packet services can be provided by employing efficient usages of the transmission bandwidth and mitigating intersymbol interference in frequency selective fading channels. In such environments, much attention has been paid to multi-input multi-output (MIMO) systems [1] and orthogonal frequency division multiplexing (OFDM) [2]. MIMO systems can exhibit a significant throughput gain over single antenna systems by transmitting multiple independent data streams [1]. Also, the OFDM makes it possible to transmit packets over frequency selective channels without equalizers. Moreover, MIMO systems combined with OFDM, which is called as MIMO-OFDM, can guarantee high spectral efficiency and better link error performance by associating with bit-interleaved coded modulation (BICM) [3] [5]. If channel state information (CSI) is available at the transmitter, it is possible to enhance the system throughput by adjusting the transmit power level, channel coding rates and/or modulation levels, which is the basic concept of an adaptive modulation and coding (AMC) technique [6]. When adopting the AMC, accurate link quality estimation at the receiver side is crucial. Exponential effective signal-tonoise ratio (SNR) mapping (EESM) proposed in [7] is a simple prediction method for the AMC. However, the EESM technique was originally developed for single-input singleoutput (SISO) systems. For the case of MIMO systems with maximum likelihood detector (MLD), referred to as MIMO-MLD, it is difficult to estimate the link error performance based on the EESM mapping, since the received signal is jointly detected over all spatial sub channels. Recently, two alternative link prediction methods for the MIMO-MLD were proposed based on mean mutual information per bit (MMIB) [8] and received bit mutual information rate (RBIR) [9]. While these methods achieve better prediction in the MIMO case, higher computational complexity is required for performing eigen value decomposition and computing some other approximation parameters. A number of ESM methods have been introduced in order to provide a more effective way of predicting the link quality of coded OFDM systems in single-input single-output 1
2 (SISO) cases [10] [12]. Since maximum likelihood detection (MLD) provides the optimum MIMO detection performance, the MLD or near-ml detectors have widely been considered to be adopted as a powerful receiver algorithm. However, it is well recognized that accurate link estimation becomes challenging for MIMO systems when an ML detector is applied. Although a couple of extensions of existing ESM methods to the MIMO-MLD have been introduced [13][14], they require high computational complexity or do not provide reasonable estimation accuracy. In [15], a new approach of the PHY abstraction for the MIMO-MLD was proposed for horizontal encoding structures, where each transmit antenna is connected to separate channel encoders. The same idea was applied to the vertical encoding case [16], where all data streams are simultaneously encoded by a single channel encoder. In this paper, by extending the general SISO ESM approach, we propose an improved link error prediction technique for MIMO-OFDM systems with ML receiver. First, utilizing capacity upper and lower bounds, we develop a simple yet accurate stream wise SNR representation process for vertical encoding MIMO-MLD systems. After obtaining the SNR estimates per each stream, the corresponding block error rate (BLER) performance is found for each encoding block through the SISO ESM using the received bit information rate (RBIR) metrics [12]. From simulation results, we confirm that the proposed method is quite accurate in the MIMO-MLD link performance evaluation while preserving very low computational complexity. The remainder of this paper is organized as follows: In Section II, we describe the system model of adaptive MIMO-OFDM systems. Section III, we explain the proposed link error prediction technique for the MIMO-MLD. Section IV verifies the accuracy of the proposed method from extensive simulation results, and we finish the paper with conclusions in Section V. Throughout this paper, we use the following notations. Boldface upper-case letters and boldface lower-case letters indicate matrices and column vectors, respectively. Also, and are denoted as transpose and Hermitian transpose, respectively. The notation indicates the k-th diagonal entry of a matrix A and an N N identity matrix is defined by. The expectation operation is represented as E[.]. II. SYSTEM MODEL We consider an adaptive MIMO-OFDM system with transmit and receive antennas. In each time slot, a receiver chooses a proper modulation and coding set (MCS) according to the current channel condition and feeds back its index to the AMC controller at the transmitter. The MCS levels consist of the quadrature amplitude modulation (QAM) level and the channel code rate, which are predetermined depending on system requirements. Then, at the transmitter, based on the BICM structure, the information bits are encoded either vertically or horizontally, bit-wise interleaved and mapped to symbol constellations after serial-to-parallel conversion. After the mapping, the data symbols are modulated by the -size inverse fast Fourier transform (IFFT). Assuming proper cyclic prefix (CP), the dimensional received signal vector at the k-th subcarrier after the FFT demodulation is given by (1) where is the transmitted symbol vector, denotes the additive white Gaussian noise (AWGN) vector with zero mean and the covariance matrix, and equals the MIMO Rayleigh fading channel matrix whose entries have an independent and identically distributed (i.i.d.) complex Gaussian distribution with CN(0,1). In the absence of the channel state information at the transmitter, satisfies E[ ] = with 2
3 uniform power allocation across the transmit antennas, where P is the total transmit power. We assume that all sub channel matrices are perfectly known at the receiver. III. IMPROVED PSSR TECHNIQUE PSSR method estimates the post-detection SNR values of the MLD, denoted by,..., for a given channel matrix. First, we define the information rate of the n-th data stream from the SNRs as Then, the artificial capacity of the MIMO-MLD can be written as CML = = Here, CML means the maximum achievable rate when the MLD is employed at the receiver, which must be distinguished from the MIMO openloop capacity where (2), we simply conjecture that. Because the true values of are unknown, we adopt two simple bounds to estimate. First, an upper bound of is derived by assuming that interference among data symbols is perfectly removed at the receiver, which is called perfect interference cancellation (PIC). Also, as a lower bound, the linear minimum meansquare error (MMSE) receiver is considered. The received SNR of the PIC and the signalto-interference-plus-noise ratio (SINR) of the MMSE receiver for the n-th stream are given respectively, as (3) -1 (4) then, the corresponding instantaneous capacities and are represented as and, from these bounds, it follows that is bounded as which leads to the same relationship among the capacities as CMMSE CML CPIC. On the other hand, we can easily prove that CMMSE Copen CPIC. As a consequence, we have CMMSE CML Copen CPIC (5) where the equalities hold if all columns of H are orthogonal. Note that for a given channel H, CMMSE, Copen and CPIC are known values, while CML is unknown. From now on, we will explain how to determine the SNR values for MLD,..., by utilizing the relation (5) for vertical encoding systems. First, we introduce two parameters and to denote the ratios of the capacity gaps from (5), respectively, as α =, 0 (6) β =, 0 (7) modulation level Code rate 1/2 2/3 3/4 5/6 7/8 4-QAM QAM QAM Table I : The optimum values of β for different MCS levels where the ranges of α and β are obtained from Copen CPIC and CML Copen. In order to formulate an expression of, we also define 3
4 as the ratio of the capacity gaps for the n-th data stream as for n=1,..., naturally, may be different for all individual streams. However, these different values of,..., can not be quantitatively evaluated since is unknown. Accordingly, to simplify the derivation, we assume that all sub-streams have the same ratio of (8) for any H as =., for n=1,..., (9) SNRs and BLERs, as many as the number of FEC encoding blocks. Among existing ESM models, we adopt the RBIR approach [12] since it is simple. The RBIR of each substream can be represented by where, for n = 1,..,...(11) denotes the number of bits allocated to the k-th subcarrier at the n-th stream and SI(γ,m) is the symbol mutual information (SI) with the modulation level m derived as [12] dl. for vertical encoding systems where a single MCS is employed across streams, this approximation is true in an average sense over all channel realizations. Moreover, simulations show that,..., are not very distinct, even if H is ill-conditioned. Now, by rearranging (8) and (9), we have αβ + (1- αβ). Consequently, the SNR of the n-th substream for the MIMO- MLD is finally represented as...(10) note that in (10), and α are directly obtained from (3), (4) and (6) as a function of H, respectively. Then, only β needs to be optimized in advance via an offline process. In Table I, the optimal values of β over 15 different MCS levels are listed. Table I is valid for any MIMO antenna configurations and β is insensitive to the channel power delay profile and depends on the employed channel code. This is a very desirable feature for a good PHY abstraction method. So far, we have investigated how to estimate the post-processing SNR values of MIMO-MLD for each subcarrier from the proposed PSSR techniques. The next step is to map those SNR estimates to the effective Here, represents the probability density function of the symbol level loglikelihood ratio (LLR) of the j-th constellation point with SNR equal to [12]. To avoid repeated complex calculations, (12) is computed once for a wide range of SNRs and saved in a lookup table after scaling to [0, 1] [25, Table 25]. According to (11) and the SNR-to-SI mapping table, for each stream is obtained based on 4. Then, is inversely mapped after normalization by to get the effective SNR. In the vertical encoding case, we only need a single effective SNR estimate. This can be simply resolved by averaging RBIR values obtained from (11) over the spatial domain as Then, in the same way, RBIR is inversely mapped to the effective SNR. Finally, as the last step, the BLER of each encoding block can be directly mapped from for the vertical encoding by looking up the AWGN look-up table.
5 IV. SIMULATION RESULTS We consider an OFDM system with Nc = 64 and the CP length of 16 samples, and a coding block is set to one OFDM symbol. The channel we assumed is Rayleigh fading channel. Here we are considering vertical encoding 2 2 MIMO-OFDM system with different quadrature amplitude modulation levels. The optimum values of for different modulation levels and different code rates are tabulated in table I. Figures 1 and 2 shows the simulation results for vertically encoded 2 2 MIMO-OFDM system. From the simulation results we observe that the SNR values of the 64QAM samples are slightly more than 16QAM samples it is desirable factor. Fig 1. Link prediction accuracy for 2 2 MIMO-OFDM system using 16QAM Fig 2. Link prediction accuracy for 2 2 MIMO-OFDM system using 64QAM V. CONCLUSION In this paper, we have proposed an efficient link abstraction technique for MIMO-OFDM systems with ML receiver. With improved PSSR procedure an efficient link error prediction has been made with very low computational complexity. From the simulations we confirmed that the proposed method is quite effective. 5 VI. REFERENCES [1] G. J. Foschini and M. Gans, On Limitsof Wireless Communications in a Fading Environment when Using Multiple Antennas, Wireless Personal Communications, vol. 6, pp , March [2] R. V. Nee and R. Prasad, OFDM for wireless multimedia communications. London, UK: Artech House Publishers, [3] G. Caire, G. Taricco, and E. Biglieri, Bit- Interleaved Coded Modulation, IEEE Transactions on Information Theory, vol. 44, pp , May [4] I. Lee, A. Chan, and C.-E. W. Sundberg, Space-Time Bit-Interleaved Coded Modulation for OFDM systems, IEEE Transactions on Signal Processing, vol. 52, pp , March [5] H. Lee, B. Lee, and I. Lee, Iterative Detection and Decoding with an Improved V-BLAST for MIMO-OFDM Systems, IEEE Journal on Selected Areas in Communications, vol. 24, pp , March 2006 [6] A. J. Goldsmith and S.-G. Chua, Adaptive Coded Modulation for Fading Channels, IEEE Transactions on Communications, vol. 46, pp , May [7] R. Elliott, A. Arkhipov, R. Paulefs, and W. Krymien, Effective SINR Mapping
6 for an MC-CDMA Systems, in Proc. 5 th International Workshop on Multi-Carrier Spread Spectrum, pp , September [8] K. Sayana, J. Zhuang, and K. Stewart, Link Performance Abstraction based on Mean Mutual Information per Bit (MMIB) of the LLR Channel, IEEE Broadband Wireless Access Working Group, [9] H. Zheng and et al, Link Performance Abstraction for ML Receivers Based on RBIR Metrics, IEEE Broadband Wireless Access Working Group, [10] Ericsson, System-level evaluation of OFDM further considerations, TSG- RAN WG1 #35, R , Nov [11] K. Sayana, J. Zhuang, and K. Stewart, Link performance abstraction based on mean mutual information per bit (MMIB) of the LLR channel, IEEE C802.16m- 07/097, May [12] H. Zheng and et al., Link performance abstraction for ML receivers based on RBIR metrics, IEEE C802.16m-08/119, Mar [13] K. Sayana, J. Zhuang, and K. Stewart, Short term link performance modelling for ML receivers with mutual information per bit metrics, in Proc IEEE Globecom. [14] IEEE m Evaluation Methodology Document (EMD), Jan [15] J. Kim, K.-J. Lee, C. K. Sung, and I. Lee, A simple SNR representation method for AMC schemes of MIMO systems with ML detector, IEEE Trans. Commun.,vol. 57, pp , Oct [16] J. Kim, S.-H. Moon, C. K. Sung, and I.Lee, A new SNR prediction method for MIMO-OFDM systems with maximum likelihood detector, in Proc IEEE ICC. 6
Link Adaptation Technique for MIMO-OFDM systems with Low Complexity QRM-MLD Algorithm
Link Adaptation Technique for MIMO-OFDM systems with Low Complexity QRM-MLD Algorithm C Suganya, SSanthiya, KJayapragash Abstract MIMO-OFDM becomes a key technique for achieving high data rate in wireless
More information1. Introduction. Noriyuki Maeda, Hiroyuki Kawai, Junichiro Kawamoto and Kenichi Higuchi
NTT DoCoMo Technical Journal Vol. 7 No.2 Special Articles on 1-Gbit/s Packet Signal Transmission Experiments toward Broadband Packet Radio Access Configuration and Performances of Implemented Experimental
More informationELEC E7210: Communication Theory. Lecture 11: MIMO Systems and Space-time Communications
ELEC E7210: Communication Theory Lecture 11: MIMO Systems and Space-time Communications Overview of the last lecture MIMO systems -parallel decomposition; - beamforming; - MIMO channel capacity MIMO Key
More informationPerformance Comparison of Channel Estimation Technique using Power Delay Profile for MIMO OFDM
Performance Comparison of Channel Estimation Technique using Power Delay Profile for MIMO OFDM 1 Shamili Ch, 2 Subba Rao.P 1 PG Student, SRKR Engineering College, Bhimavaram, INDIA 2 Professor, SRKR Engineering
More informationImplementation and Comparative analysis of Orthogonal Frequency Division Multiplexing (OFDM) Signaling Rashmi Choudhary
Implementation and Comparative analysis of Orthogonal Frequency Division Multiplexing (OFDM) Signaling Rashmi Choudhary M.Tech Scholar, ECE Department,SKIT, Jaipur, Abstract Orthogonal Frequency Division
More informationField Experiments of 2.5 Gbit/s High-Speed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access
NTT DoCoMo Technical Journal Vol. 8 No.1 Field Experiments of 2.5 Gbit/s High-Speed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access Kenichi Higuchi and Hidekazu Taoka A maximum throughput
More informationStudy of Turbo Coded OFDM over Fading Channel
International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 3, Issue 2 (August 2012), PP. 54-58 Study of Turbo Coded OFDM over Fading Channel
More informationIMPROVED QR AIDED DETECTION UNDER CHANNEL ESTIMATION ERROR CONDITION
IMPROVED QR AIDED DETECTION UNDER CHANNEL ESTIMATION ERROR CONDITION Jigyasha Shrivastava, Sanjay Khadagade, and Sumit Gupta Department of Electronics and Communications Engineering, Oriental College of
More informationImprovement of the Throughput-SNR Tradeoff using a 4G Adaptive MCM system
, June 30 - July 2, 2010, London, U.K. Improvement of the Throughput-SNR Tradeoff using a 4G Adaptive MCM system Insik Cho, Changwoo Seo, Gilsang Yoon, Jeonghwan Lee, Sherlie Portugal, Intae wang Abstract
More informationReception for Layered STBC Architecture in WLAN Scenario
Reception for Layered STBC Architecture in WLAN Scenario Piotr Remlein Chair of Wireless Communications Poznan University of Technology Poznan, Poland e-mail: remlein@et.put.poznan.pl Hubert Felcyn Chair
More informationCognitive Radio Transmission Based on Chip-level Space Time Block Coded MC-DS-CDMA over Fast-Fading Channel
Journal of Scientific & Industrial Research Vol. 73, July 2014, pp. 443-447 Cognitive Radio Transmission Based on Chip-level Space Time Block Coded MC-DS-CDMA over Fast-Fading Channel S. Mohandass * and
More informationComb type Pilot arrangement based Channel Estimation for Spatial Multiplexing MIMO-OFDM Systems
Comb type Pilot arrangement based Channel Estimation for Spatial Multiplexing MIMO-OFDM Systems Mr Umesha G B 1, Dr M N Shanmukha Swamy 2 1Research Scholar, Department of ECE, SJCE, Mysore, Karnataka State,
More informationReduced Complexity of QRD-M Detection Scheme in MIMO-OFDM Systems
Advanced Science and echnology Letters Vol. (ASP 06), pp.4- http://dx.doi.org/0.457/astl.06..4 Reduced Complexity of QRD-M Detection Scheme in MIMO-OFDM Systems Jong-Kwang Kim, Jae-yun Ro and young-kyu
More informationLow BER performance using Index Modulation in MIMO OFDM
Low BER performance using Modulation in MIMO OFDM Samuddeta D H 1, V.R.Udupi 2 1MTech Student DCN, KLS Gogte Institute of Technology, Belgaum, India. 2Professor, Dept. of E&CE, KLS Gogte Institute of Technology,
More informationPerformance Evaluation of STBC-OFDM System for Wireless Communication
Performance Evaluation of STBC-OFDM System for Wireless Communication Apeksha Deshmukh, Prof. Dr. M. D. Kokate Department of E&TC, K.K.W.I.E.R. College, Nasik, apeksha19may@gmail.com Abstract In this paper
More informationORTHOGONAL frequency division multiplexing (OFDM)
144 IEEE TRANSACTIONS ON BROADCASTING, VOL. 51, NO. 1, MARCH 2005 Performance Analysis for OFDM-CDMA With Joint Frequency-Time Spreading Kan Zheng, Student Member, IEEE, Guoyan Zeng, and Wenbo Wang, Member,
More informationAn Improved Detection Technique For Receiver Oriented MIMO-OFDM Systems
9th International OFDM-Workshop 2004, Dresden 1 An Improved Detection Technique For Receiver Oriented MIMO-OFDM Systems Hrishikesh Venkataraman 1), Clemens Michalke 2), V.Sinha 1), and G.Fettweis 2) 1)
More informationDynamic Subchannel and Bit Allocation in Multiuser OFDM with a Priority User
Dynamic Subchannel and Bit Allocation in Multiuser OFDM with a Priority User Changho Suh, Yunok Cho, and Seokhyun Yoon Samsung Electronics Co., Ltd, P.O.BOX 105, Suwon, S. Korea. email: becal.suh@samsung.com,
More informationComparison of MIMO OFDM System with BPSK and QPSK Modulation
e t International Journal on Emerging Technologies (Special Issue on NCRIET-2015) 6(2): 188-192(2015) ISSN No. (Print) : 0975-8364 ISSN No. (Online) : 2249-3255 Comparison of MIMO OFDM System with BPSK
More informationSPARSE CHANNEL ESTIMATION BY PILOT ALLOCATION IN MIMO-OFDM SYSTEMS
SPARSE CHANNEL ESTIMATION BY PILOT ALLOCATION IN MIMO-OFDM SYSTEMS Puneetha R 1, Dr.S.Akhila 2 1 M. Tech in Digital Communication B M S College Of Engineering Karnataka, India 2 Professor Department of
More informationDiversity Analysis of Coded OFDM in Frequency Selective Channels
Diversity Analysis of Coded OFDM in Frequency Selective Channels 1 Koshy G., 2 Soumya J. W. 1 PG Scholar, 2 Assistant Professor, Communication Engineering, Mahatma Gandhi University Caarmel Engineering
More informationPerformance Analysis of the D-STTD Communication System with AMC Scheme
, 2009, 5, 325-329 doi:10.4236/ijcns.2009.25035 Published Online August 2009 (http://www.scirp.org/journal/ijcns/). Performance Analysis of the D-STTD Communication System with AMC Scheme Jeonghwan LEE
More informationPerformance Evaluation of V-Blast Mimo System in Fading Diversity Using Matched Filter
Performance Evaluation of V-Blast Mimo System in Fading Diversity Using Matched Filter Priya Sharma 1, Prof. Vijay Prakash Singh 2 1 Deptt. of EC, B.E.R.I, BHOPAL 2 HOD, Deptt. of EC, B.E.R.I, BHOPAL Abstract--
More informationLD-STBC-VBLAST Receiver for WLAN systems
LD-STBC-VBLAST Receiver for WLAN systems PIOTR REMLEIN, HUBERT FELCYN Chair of Wireless Communications Poznan University of Technology Poznan, Poland e-mail: remlein@et.put.poznan.pl, hubert.felcyn@gmail.com
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 informationPERFORMANCE ANALYSIS OF AN UPLINK MISO-CDMA SYSTEM USING MULTISTAGE MULTI-USER DETECTION SCHEME WITH V-BLAST SIGNAL DETECTION ALGORITHMS
PERFORMANCE ANALYSIS OF AN UPLINK MISO-CDMA SYSTEM USING MULTISTAGE MULTI-USER DETECTION SCHEME WITH V-BLAST SIGNAL DETECTION ALGORITHMS 1 G.VAIRAVEL, 2 K.R.SHANKAR KUMAR 1 Associate Professor, ECE Department,
More informationPerformance analysis of MISO-OFDM & MIMO-OFDM Systems
Performance analysis of MISO-OFDM & MIMO-OFDM Systems Kavitha K V N #1, Abhishek Jaiswal *2, Sibaram Khara #3 1-2 School of Electronics Engineering, VIT University Vellore, Tamil Nadu, India 3 Galgotias
More informationMultiple Antennas in Wireless Communications
Multiple Antennas in Wireless Communications Luca Sanguinetti Department of Information Engineering Pisa University lucasanguinetti@ietunipiit April, 2009 Luca Sanguinetti (IET) MIMO April, 2009 1 / 46
More informationThroughput Enhancement for MIMO OFDM Systems Using Transmission Control and Adaptive Modulation
Throughput Enhancement for MIMOOFDM Systems Using Transmission Control and Adaptive Modulation Yoshitaka Hara Mitsubishi Electric Information Technology Centre Europe B.V. (ITE) 1, allee de Beaulieu, Rennes,
More informationBlock Processing Linear Equalizer for MIMO CDMA Downlinks in STTD Mode
Block Processing Linear Equalizer for MIMO CDMA Downlinks in STTD Mode Yan Li Yingxue Li Abstract In this study, an enhanced chip-level linear equalizer is proposed for multiple-input multiple-out (MIMO)
More informationChannel Capacity Estimation in MIMO Systems Based on Water-Filling Algorithm
Channel Capacity Estimation in MIMO Systems Based on Water-Filling Algorithm 1 Ch.Srikanth, 2 B.Rajanna 1 PG SCHOLAR, 2 Assistant Professor Vaagdevi college of engineering. (warangal) ABSTRACT power than
More informationThe Optimal Employment of CSI in COFDM-Based Receivers
The Optimal Employment of CSI in COFDM-Based Receivers Akram J. Awad, Timothy O Farrell School of Electronic & Electrical Engineering, University of Leeds, UK eenajma@leeds.ac.uk Abstract: This paper investigates
More informationA Polling Based Approach For Delay Analysis of WiMAX/IEEE Systems
A Polling Based Approach For Delay Analysis of WiMAX/IEEE 802.16 Systems Archana B T 1, Bindu V 2 1 M Tech Signal Processing, Department of Electronics and Communication, Sree Chitra Thirunal College of
More informationSpace Time Block Coding - Spatial Modulation for Multiple-Input Multiple-Output OFDM with Index Modulation System
Space Time Block Coding - Spatial Modulation for Multiple-Input Multiple-Output OFDM with Index Modulation System Ravi Kumar 1, Lakshmareddy.G 2 1 Pursuing M.Tech (CS), Dept. of ECE, Newton s Institute
More informationChannel Estimation for MIMO-OFDM Systems Based on Data Nulling Superimposed Pilots
Channel Estimation for MIMO-O Systems Based on Data Nulling Superimposed Pilots Emad Farouk, Michael Ibrahim, Mona Z Saleh, Salwa Elramly Ain Shams University Cairo, Egypt {emadfarouk, michaelibrahim,
More informationPerformance of MIMO Techniques to Achieve Full Diversity and Maximum Spatial Multiplexing
Performance of MIMO Techniques to Achieve Full Diversity and Maximum Spatial Multiplexing Enis Akay, Ersin Sengul, and Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical
More informationIN AN MIMO communication system, multiple transmission
3390 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL 55, NO 7, JULY 2007 Precoded FIR and Redundant V-BLAST Systems for Frequency-Selective MIMO Channels Chun-yang Chen, Student Member, IEEE, and P P Vaidyanathan,
More informationANALYSIS OF BER AND SEP OF QPSK SIGNAL FOR MULTIPLE ANENNAS
ANALYSIS OF BER AND SEP OF QPSK SIGNAL FOR MULTIPLE ANENNAS Suganya.S 1 1 PG scholar, Department of ECE A.V.C College of Engineering Mannampandhal, India Karthikeyan.T 2 2 Assistant Professor, Department
More informationCombined Transmitter Diversity and Multi-Level Modulation Techniques
SETIT 2005 3rd International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 27 3, 2005 TUNISIA Combined Transmitter Diversity and Multi-Level Modulation Techniques
More informationIterative Detection and Decoding with PIC Algorithm for MIMO-OFDM Systems
, 2009, 5, 351-356 doi:10.4236/ijcns.2009.25038 Published Online August 2009 (http://www.scirp.org/journal/ijcns/). Iterative Detection and Decoding with PIC Algorithm for MIMO-OFDM Systems Zhongpeng WANG
More informationA Research Concept on Bit Rate Detection using Carrier offset through Analysis of MC-CDMA SYSTEM
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320 088X IMPACT FACTOR: 5.258 IJCSMC,
More informationENHANCING BER PERFORMANCE FOR OFDM
RESEARCH ARTICLE OPEN ACCESS ENHANCING BER PERFORMANCE FOR OFDM Amol G. Bakane, Prof. Shraddha Mohod Electronics Engineering (Communication), TGPCET Nagpur Electronics & Telecommunication Engineering,TGPCET
More informationPerformance Analysis of Maximum Likelihood Detection in a MIMO Antenna System
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 50, NO. 2, FEBRUARY 2002 187 Performance Analysis of Maximum Likelihood Detection in a MIMO Antenna System Xu Zhu Ross D. Murch, Senior Member, IEEE Abstract In
More informationOrthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels
Orthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels Prashanth G S 1 1Department of ECE, JNNCE, Shivamogga ---------------------------------------------------------------------***----------------------------------------------------------------------
More informationResearch Letter Throughput of Type II HARQ-OFDM/TDM Using MMSE-FDE in a Multipath Channel
Research Letters in Communications Volume 2009, Article ID 695620, 4 pages doi:0.55/2009/695620 Research Letter Throughput of Type II HARQ-OFDM/TDM Using MMSE-FDE in a Multipath Channel Haris Gacanin and
More informationMULTIPATH fading could severely degrade the performance
1986 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 12, DECEMBER 2005 Rate-One Space Time Block Codes With Full Diversity Liang Xian and Huaping Liu, Member, IEEE Abstract Orthogonal space time block
More informationADAPTIVITY IN MC-CDMA SYSTEMS
ADAPTIVITY IN MC-CDMA SYSTEMS Ivan Cosovic German Aerospace Center (DLR), Inst. of Communications and Navigation Oberpfaffenhofen, 82234 Wessling, Germany ivan.cosovic@dlr.de Stefan Kaiser DoCoMo Communications
More informationNoise Plus Interference Power Estimation in Adaptive OFDM Systems
Noise Plus Interference Power Estimation in Adaptive OFDM Systems Tevfik Yücek and Hüseyin Arslan Department of Electrical Engineering, University of South Florida 4202 E. Fowler Avenue, ENB-118, Tampa,
More informationDESIGN, IMPLEMENTATION AND OPTIMISATION OF 4X4 MIMO-OFDM TRANSMITTER FOR
DESIGN, IMPLEMENTATION AND OPTIMISATION OF 4X4 MIMO-OFDM TRANSMITTER FOR COMMUNICATION SYSTEMS Abstract M. Chethan Kumar, *Sanket Dessai Department of Computer Engineering, M.S. Ramaiah School of Advanced
More informationVOL. 3, NO.11 Nov, 2012 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
Effect of Fading Correlation on the Performance of Spatial Multiplexed MIMO systems with circular antennas M. A. Mangoud Department of Electrical and Electronics Engineering, University of Bahrain P. O.
More informationRealization of Peak Frequency Efficiency of 50 Bit/Second/Hz Using OFDM MIMO Multiplexing with MLD Based Signal Detection
Realization of Peak Frequency Efficiency of 50 Bit/Second/Hz Using OFDM MIMO Multiplexing with MLD Based Signal Detection Kenichi Higuchi (1) and Hidekazu Taoka (2) (1) Tokyo University of Science (2)
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 3--3 Shinjuku, 60-0022 Tokyo, Japan Email: bocquet@francetelecom.co.jp Kazunori Hayashi
More informationChannel Estimation and Signal Detection for Multi-Carrier CDMA Systems with Pulse-Shaping Filter
Channel Estimation and Signal Detection for MultiCarrier CDMA Systems with PulseShaping Filter 1 Mohammad Jaber Borran, Prabodh Varshney, Hannu Vilpponen, and Panayiotis Papadimitriou Nokia Mobile Phones,
More informationAdvanced 3G & 4G Wireless Communication Prof. Aditya K. Jaganathan Department of Electrical Engineering Indian Institute of Technology, Kanpur
(Refer Slide Time: 00:17) Advanced 3G & 4G Wireless Communication Prof. Aditya K. Jaganathan Department of Electrical Engineering Indian Institute of Technology, Kanpur Lecture - 32 MIMO-OFDM (Contd.)
More informationOrthogonal Cyclic Prefix for Time Synchronization in MIMO-OFDM
Orthogonal Cyclic Prefix for Time Synchronization in MIMO-OFDM Gajanan R. Gaurshetti & Sanjay V. Khobragade Dr. Babasaheb Ambedkar Technological University, Lonere E-mail : gaurshetty@gmail.com, svk2305@gmail.com
More informationCapacity Enhancement in WLAN using
319 CapacityEnhancementinWLANusingMIMO Capacity Enhancement in WLAN using MIMO K.Shamganth Engineering Department Ibra College of Technology Ibra, Sultanate of Oman shamkanth@ict.edu.om M.P.Reena Electronics
More informationA Novel of Low Complexity Detection in OFDM System by Combining SLM Technique and Clipping and Scaling Method Jayamol Joseph, Subin Suresh
A Novel of Low Complexity Detection in OFDM System by Combining SLM Technique and Clipping and Scaling Method Jayamol Joseph, Subin Suresh Abstract In order to increase the bandwidth efficiency and receiver
More informationHybrid Index Modeling Model for Memo System with Ml Sub Detector
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 PP 14-18 www.iosrjen.org Hybrid Index Modeling Model for Memo System with Ml Sub Detector M. Dayanidhy 1 Dr. V. Jawahar Senthil
More informationCombination of Space-Time Block Coding with MC-CDMA Technique for MIMO systems with two, three and four transmit antennas
Combination of Space-Time Block Coding with MC-CDMA Technique for MIMO systems with two, three and four transmit antennas V. Le Nir (1), J.M. Auffray (2), M. Hélard (1), J.F. Hélard (2), R. Le Gouable
More informationA Practical Resource Allocation Approach for Interference Management in LTE Uplink Transmission
JOURNAL OF COMMUNICATIONS, VOL. 6, NO., JULY A Practical Resource Allocation Approach for Interference Management in LTE Uplink Transmission Liying Li, Gang Wu, Hongbing Xu, Geoffrey Ye Li, and Xin Feng
More informationAn HARQ scheme with antenna switching for V-BLAST system
An HARQ scheme with antenna switching for V-BLAST system Bonghoe Kim* and Donghee Shim* *Standardization & System Research Gr., Mobile Communication Technology Research LAB., LG Electronics Inc., 533,
More informationNew Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System
Bahria University Journal of Information & Communication Technology Vol. 1, Issue 1, December 2008 New Techniques to Suppress the Sidelobes in OFDM System to Design a Successful Overlay System Saleem Ahmed,
More informationEfficient Decoding for Extended Alamouti Space-Time Block code
Efficient Decoding for Extended Alamouti Space-Time Block code Zafar Q. Taha Dept. of Electrical Engineering College of Engineering Imam Muhammad Ibn Saud Islamic University Riyadh, Saudi Arabia Email:
More informationLow Complexity Decoding of Bit-Interleaved Coded Modulation for M-ary QAM
Low Complexity Decoding of Bit-Interleaved Coded Modulation for M-ary QAM Enis Aay and Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical Engineering and Computer
More informationMean Mutual Information Per Coded Bit based Precoding in MIMO-OFDM Systems
Mean Mutual Information Per Coded Bit based Precoding in MIMO-OFDM Systems Taiwen Tang, Roya Doostnejad, Member, IEEE and Teng Joon Lim, Senior Member, IEEE Abstract This work proposes a per-subband multiple
More informationLecture 3: Wireless Physical Layer: Modulation Techniques. Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday
Lecture 3: Wireless Physical Layer: Modulation Techniques Mythili Vutukuru CS 653 Spring 2014 Jan 13, Monday Modulation We saw a simple example of amplitude modulation in the last lecture Modulation how
More informationModified EESM Link Adaptation Method with Multiple Constellation for Future Wireless Networks
Communication Technology, Vol, Issue 7, July-3 ISSN(Online) 78-58 ISSN (Print) 3-556 Modified EESM Link Adaptation Method with Multiple Constellation for Future Wireless Networks Sandanalakshmi R, Kadhiravan
More informationOn limits of Wireless Communications in a Fading Environment: a General Parameterization Quantifying Performance in Fading Channel
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol. 2, No. 3, September 2014, pp. 125~131 ISSN: 2089-3272 125 On limits of Wireless Communications in a Fading Environment: a General
More informationSIDELOBE SUPPRESSION AND PAPR REDUCTION FOR COGNITIVE RADIO MIMO-OFDM SYSTEMS USING CONVEX OPTIMIZATION TECHNIQUE
SIDELOBE SUPPRESSION AND PAPR REDUCTION FOR COGNITIVE RADIO MIMO-OFDM SYSTEMS USING CONVEX OPTIMIZATION TECHNIQUE Suban.A 1, Jeswill Prathima.I 2, Suganyasree G.C. 3, Author 1 : Assistant Professor, ECE
More informationAdaptive Modulation and Coding for LTE Wireless Communication
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Adaptive and Coding for LTE Wireless Communication To cite this article: S S Hadi and T C Tiong 2015 IOP Conf. Ser.: Mater. Sci.
More informationLecture 8 Multi- User MIMO
Lecture 8 Multi- User MIMO I-Hsiang Wang ihwang@ntu.edu.tw 5/7, 014 Multi- User MIMO System So far we discussed how multiple antennas increase the capacity and reliability in point-to-point channels Question:
More informationUPLINK SPATIAL SCHEDULING WITH ADAPTIVE TRANSMIT BEAMFORMING IN MULTIUSER MIMO SYSTEMS
UPLINK SPATIAL SCHEDULING WITH ADAPTIVE TRANSMIT BEAMFORMING IN MULTIUSER MIMO SYSTEMS Yoshitaka Hara Loïc Brunel Kazuyoshi Oshima Mitsubishi Electric Information Technology Centre Europe B.V. (ITE), France
More informationChannel Estimation by 2D-Enhanced DFT Interpolation Supporting High-speed Movement
Channel Estimation by 2D-Enhanced DFT Interpolation Supporting High-speed Movement Channel Estimation DFT Interpolation Special Articles on Multi-dimensional MIMO Transmission Technology The Challenge
More informationStudy of Performance Evaluation of Quasi Orthogonal Space Time Block Code MIMO-OFDM System in Rician Channel for Different Modulation Schemes
Volume 4, Issue 6, June (016) Study of Performance Evaluation of Quasi Orthogonal Space Time Block Code MIMO-OFDM System in Rician Channel for Different Modulation Schemes Pranil S Mengane D. Y. Patil
More informationMIMO Systems and Applications
MIMO Systems and Applications Mário Marques da Silva marques.silva@ieee.org 1 Outline Introduction System Characterization for MIMO types Space-Time Block Coding (open loop) Selective Transmit Diversity
More informationAnalysis of Interference & BER with Simulation Concept for MC-CDMA
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 4, Ver. IV (Jul - Aug. 2014), PP 46-51 Analysis of Interference & BER with Simulation
More informationAdaptive Modulation, Adaptive Coding, and Power Control for Fixed Cellular Broadband Wireless Systems: Some New Insights 1
Adaptive, Adaptive Coding, and Power Control for Fixed Cellular Broadband Wireless Systems: Some New Insights Ehab Armanious, David D. Falconer, and Halim Yanikomeroglu Broadband Communications and Wireless
More informationRate and Power Adaptation in OFDM with Quantized Feedback
Rate and Power Adaptation in OFDM with Quantized Feedback A. P. Dileep Department of Electrical Engineering Indian Institute of Technology Madras Chennai ees@ee.iitm.ac.in Srikrishna Bhashyam Department
More informationSIMULATIONS OF ERROR CORRECTION CODES FOR DATA COMMUNICATION OVER POWER LINES
SIMULATIONS OF ERROR CORRECTION CODES FOR DATA COMMUNICATION OVER POWER LINES Michelle Foltran Miranda Eduardo Parente Ribeiro mifoltran@hotmail.com edu@eletrica.ufpr.br Departament of Electrical Engineering,
More informationTransmit Power Adaptation for Multiuser OFDM Systems
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 21, NO. 2, FEBRUARY 2003 171 Transmit Power Adaptation Multiuser OFDM Systems Jiho Jang, Student Member, IEEE, Kwang Bok Lee, Member, IEEE Abstract
More informationDecrease Interference Using Adaptive Modulation and Coding
International Journal of Computer Networks and Communications Security VOL. 3, NO. 9, SEPTEMBER 2015, 378 383 Available online at: www.ijcncs.org E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Decrease
More information[Gehlot*, 5(3): March, 2016] ISSN: (I2OR), Publication Impact Factor: 3.785
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY PERFORMANCE IMPROVEMENT OF OFDM TRANSMISSION USING AMC AND DIFFERENT MIMO TECHNIQUE Madhuri Gehlot *, Prof. Rashmi Pant * PG Student,
More informationSimplified Levenberg-Marquardt Algorithm based PAPR Reduction for OFDM System with Neural Network
Simplified Levenberg-Marquardt Algorithm based PAPR Reduction for OFDM System with Neural Network Rahul V R M Tech Communication Department of Electronics and Communication BCCaarmel Engineering College,
More informationFrequency-domain space-time block coded single-carrier distributed antenna network
Frequency-domain space-time block coded single-carrier distributed antenna network Ryusuke Matsukawa a), Tatsunori Obara, and Fumiyuki Adachi Department of Electrical and Communication Engineering, Graduate
More informationPerformance Analysis of OFDM System with QPSK for Wireless Communication
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 11, Issue 3, Ver. I (May-Jun.2016), PP 33-37 www.iosrjournals.org Performance Analysis
More informationSingle Carrier Ofdm Immune to Intercarrier Interference
International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 10, Issue 3 (March 2014), PP.42-47 Single Carrier Ofdm Immune to Intercarrier Interference
More informationA New Transmission Scheme for MIMO OFDM
IJSRD - International Journal for Scientific Research & Development Vol. 1, Issue 2, 2013 ISSN (online): 2321-0613 A New Transmission Scheme for MIMO OFDM Kushal V. Patel 1 Mitesh D. Patel 2 1 PG Student,
More informationA Physical Layer Abstraction for Maximum Likelihood Demodulation of MIMO Signals
A Physical Layer Abstraction for Maximum Likelihood Demodulation of MIMO Signals R. Ramésh, Havish Koorapaty, Thomas Cheng and Kumar Balachandran Ericsson Research, RTP P.O. Box 139, Research Triangle
More informationChannel Estimation of MIMO OFDM System
Channel Estimation of MIMO OFDM System K.Ram Nayak M-Tech (Embedded Systems) S.R Engineering College, Warangal Telangana, India Abstract Wireless Communication Technology has developed many folds over
More informationPerformance Comparison of OFDMA and MC-CDMA in Mimo Downlink LTE Technology
Performance Comparison of OFDMA and MC-CDMA in Mimo Downlink LTE Technology D.R.Srinivas, M.Tech Associate Profesor, Dept of ECE, G.Pulla Reddy Engineering College, Kurnool. GKE Sreenivasa Murthy, M.Tech
More informationPerformance Evaluation of Wireless Communication System Employing DWT-OFDM using Simulink Model
Performance Evaluation of Wireless Communication System Employing DWT-OFDM using Simulink Model M. Prem Anand 1 Rudrashish Roy 2 1 Assistant Professor 2 M.E Student 1,2 Department of Electronics & Communication
More information2.
PERFORMANCE ANALYSIS OF STBC-MIMO OFDM SYSTEM WITH DWT & FFT Shubhangi R Chaudhary 1,Kiran Rohidas Jadhav 2. Department of Electronics and Telecommunication Cummins college of Engineering for Women Pune,
More informationPerformance Analysis of MIMO-OFDM System Using Singular Value Decomposition and Water Filling Algorithm
Performance Analysis of MIMO-OFDM System Using Singular Value Decomposition and Water Filling Algorithm Md. Noor-A-Rahim 1, Md. Saiful Islam 2, Md. Nashid Anjum 3, Md. Kamal Hosain 4, and Abbas Z. Kouzani
More informationBit-Interleaved Coded Modulation: Low Complexity Decoding
Bit-Interleaved Coded Modulation: Low Complexity Decoding Enis Aay and Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical Engineering and Computer Science The Henry
More informationProportional Fair Scheduling for Wireless Communication with Multiple Transmit and Receive Antennas 1
Proportional Fair Scheduling for Wireless Communication with Multiple Transmit and Receive Antennas Taewon Park, Oh-Soon Shin, and Kwang Bok (Ed) Lee School of Electrical Engineering and Computer Science
More informationA High-Throughput VLSI Architecture for SC-FDMA MIMO Detectors
A High-Throughput VLSI Architecture for SC-FDMA MIMO Detectors K.Keerthana 1, G.Jyoshna 2 M.Tech Scholar, Dept of ECE, Sri Krishnadevaraya University College of, AP, India 1 Lecturer, Dept of ECE, Sri
More informationFeature (Claims) Preamble. Clause 1. Clause 2. Clause 3. Clause 4. Preamble. Clause 1. Clause 2. Clause 3. Clause 4
Claim Feature (Claims) 1 9 10 11 Preamble Clause 1 Clause 2 Clause 3 Clause 4 Preamble Clause 1 Clause 2 Clause 3 Clause 4 A method for transmitting ACK channel information by the base station in an orthogonal
More informationISI Reduction in MIMO-OFDM with Insufficient Cyclic Prefix- A Survey
ISI Reduction in MIMO-OFDM with Insufficient Cyclic Prefix- A Survey Roopa Johny 1, Noble C Kurian 2 P G Student, Dept. of ECE, Sree Narayana Gurukulam College of Engineering, Mahatma Gandhi University,
More informationSPACE TIME coding for multiple transmit antennas has attracted
486 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 3, MARCH 2004 An Orthogonal Space Time Coded CPM System With Fast Decoding for Two Transmit Antennas Genyuan Wang Xiang-Gen Xia, Senior Member,
More informationOFDM Code Division Multiplexing with Unequal Error Protection and Flexible Data Rate Adaptation
OFDM Code Division Multiplexing with Unequal Error Protection and Flexible Data Rate Adaptation Stefan Kaiser German Aerospace Center (DLR) Institute of Communications and Navigation 834 Wessling, Germany
More information