Open AccessPerformance analysis of hybrid transmit antenna selection/maximal‐ratio transmission in Nakagami‐ m fading channels
Author(s) -
Coşkun Ahmet F.,
Kucur Oğuz
Publication year - 2013
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1002/wcm.1177
Subject(s) - fading , nakagami distribution , maximal ratio combining , moment generating function , computer science , independent and identically distributed random variables , algorithm , bit error rate , diversity combining , phase shift keying , keying , telecommunications , quadrature amplitude modulation , probability density function , topology (electrical circuits) , mathematics , electronic engineering , random variable , statistics , channel (broadcasting) , engineering , combinatorics
Hybrid diversity systems have been of great importance because they provide better diversity orders and robustness to the fading effects of wireless communication systems. This paper focuses on the performance analysis of multiple‐input gle‐output systems that employ combined transmit antenna selection (TAS)/maximal‐ratio transmission (MRT) techniques (i.e., hybrid TAS/MRT). The probability density function, the moment generating function and the n th order moments of the output signal‐to‐noise ratio of the investigated diversity scheme are derived for independent identically distributed flat Nakagami‐ m fading channels. The system capacity of the hybrid TAS/MRT scheme is examined from the outage probability perspective. Exact bit/symbol error rate (BER/SER) expressions for binary frequency shift keying, M ‐ary phase shift keying and square M ‐ary quadrature amplitude modulation signals are derived by using the moment generating function‐based analysis method. By deriving the upper bounds for BER/SER expressions, it is also shown that the investigated systems achieve full diversity orders at high signal‐to‐noise ratios. Also, by Monte Carlo simulations, analytical performance results are validated and the effect of feedback delay, channel estimation error and feedback quantization error on BER/SER performances are examined. Copyright © 2011 John Wiley & Sons, Ltd.