Spectrum Efficiency Evaluation with Multiuser Scheduling and MRC Antenna Diversity with Effects of Combining Errors for Rayleigh Fading Channels with Feedback

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• 作者：J. Subhashini ; Vidhyacharan Bhaskar
• 关键词：Multiuser scheduling ; Combining errors ; Adaptation policies ; Maximal ratio combining ; Limited feedback ; Full feedback
• 刊名：Wireless Personal Communications
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：83
• 期：1
• 页码：791-810
• 全文大小：944 KB
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• 作者单位：J. Subhashini (1)
  Vidhyacharan Bhaskar (2)
  
  1. Department of Electronics and Communication Engineering, SRM University, Kattankulathur, Tamilnadu, 603203, India
  2. Department of Electrical and Computer Engineering, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA, 94132, USA
  
• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Processor Architectures
  
• 出版者：Springer Netherlands
• ISSN：1572-834X

文摘

In this paper, we present an analytical framework to jointly investigate MRC diversity and multiuser scheduling under Rayleigh fading channels with the effect of combining errors under a low SNR regime. We derive spectrum efficiency expressions for multiuser scheduling systems with two different cases of multiuser scheduling, (1) Full feedback user scheduling (2) Limited feedback user scheduling with effects of combining errors. A signal to noise ratio (SNR) based user selection scheme is considered. For combining errors, correlation is defined as the magnitude of the complex cross-correlation between the transmission coefficients of the medium associated with pilot and message frequencies. We derive the probability density function and cumulative density function for the above cases. Adaptation policies like (1) Optimal power and rate adaptation policy (OPRA), (2) Optimal rate adaptation policy, (3) Channel inversion with fixed rate policy, (4) Truncated channel inversion with fixed rate policy are employed to improve system performance. It is observed that limited feedback user scheduling along with employment of adaptation policies yields better system performance compared to full feedback user scheduling. Further, OPRA policy yields maximum capacity among the four policies.