Average Channel Capacity and Bit Error Rate Using Threshold Conditions for MIMO-OSTBC Systems Over η–µ Fading Channels

被引:0
作者
S. Krithiga
Vidhyacharan Bhaskar
S. Malarvizhi
机构
[1] SRM University,Department of Electronics and Communication Engineering
[2] San Francisco State University,Department of Electrical and Computer Engineering
[3] Northwestern Polytechnic University,Department of Electrical Engineering
来源
Wireless Personal Communications | 2017年 / 94卷
关键词
–; fading channel; Absolute SNR scheduling; Independent and non-identically distributed; Multiple input multiple output orthogonal space–time block coded systems; Average BER; Average channel capacity;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, we propose a novel approach for multiple input multiple output systems employing orthogonal space time block coding techniques considering independent but not necessarily identically distributed η–µ fading channels. We derive the probability density functions and cumulative distributions functions expressions for two different scenarios under (1) absolute SNR (AS) scheduling, and (2) threshold conditions. More specifically, under absolute SNR scheduling, PDF and CDF expressions are derived for independent non-identically distributed fading parameters, independent identically distributed average user SNRs (i.ni.d, i.i.d), and independent non-identically distributed fading parameters, and independent non-identically distributed average user SNRs (i.ni.d, i.ni.d). The derived expressions for PDF and CDF are used in obtaining average bit error rate and average channel capacity expressions for the proposed system. Both analytical and numerical results are shown to validate the obtained mathematical expressions.
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页码:949 / 967
页数:18
相关论文
共 66 条
[1]  
Spencer QH(2004)An introduction to the multi-user MIMO downlink IEEE Communication Magazine 42 60-67
[2]  
Peel CB(2006)MIMO broadcast channels with finite-rate feedback IEEE Transactions on Information Theory 52 5045-5060
[3]  
Swindlehurst AL(2004)MIMO wireless communication channel phenomenology IEEE Transactions on Antenna Propagation 52 2073-2082
[4]  
Haardt M(2012)Full diversity non-coherent alamouti-based toeplitz space-time block codes IEEE Transactions on Signal Processing 60 5241-5253
[5]  
Jindal N(2012)MIMO system optimization using STTC based STBC with channel estimation Wireless Personal Communications 66 147-165
[6]  
Bliss DW(2007)The κ–μ distribution and the IEEE Antennas and Propagation Magazine 49 68-81
[7]  
Chan AM(2004)– EURASIP Journal on Wireless Communications and Networking, Special Issue on Multiuser MIMO Networks 2004 286-296
[8]  
Chang NB(2009) distribution IEEE Transactions on Vehicular Technology 58 1329-1344
[9]  
Dong X(2006)Time slotted multiuser MIMO systems: Beamforming and scheduling strategies IEEE Transactions on Signal Processing 54 3658-3663
[10]  
Jian-Kang Z(2009)Simplified fair scheduling and antenna selection algorithms for multiuser MIMO orthogonal space-division multiplexing downlink EURASIP Journal of Wireless Communications And Networking 8 1-6