Analysis of Transmit Antenna Selection/Maximal-Ratio Combining in Rayleigh Fading Channels

Performance Analysis of Transmit Antenna Selection in Nakagami-m Fading Channels

“…For the especial case of m = 1 (Rayleigh fading), the results are exactly matches with the corresponding ones derived from Eq. 25 in [2] in order to show the validity of the analysis and formula.…”

“…Let us show the n T transmit and n R receive antenna configuration with (n T , n R ). When BPSK modulation is used for transmission the average probability of SER versus the variation of average SNR per symbol for (2,2), (3,2) and (4,2) configurations have depicted in Figure 1 while the Nakagami severity fading parameter, m, takes values from 1 to 3. For the especial case of m = 1 (Rayleigh fading), the results are exactly matches with the corresponding ones derived from Eq.…”

“…Error performance of single transmit antenna selection (TAS) with maximal ratio combining (MRC) at the receiver for BPSK has been studied in [1,2] for independent and identically distributed i.i.d Rayleigh fading. While Nakagami-m fading statistics provide greater flexibility in variety of realistic experiments in this paper we consider single TAS for i.i.d Nakagami-m fading channels [3] which is applicable for various M-ary modulations with MRC employed at the receiver.…”

Error Rate Performance Investigations of MIMO Transmission Modes through Nakagami-m Fading Channels

“…Receive diversity reduces the destructive and corrupting effects of fading due to multipath or interference from other users. In case of frequency-flat fading, an optimum combining technique Maximum ratio combining (MRC) can be used to maximize SNR at the combiner's output [3], which needs perfect channel knowledge at the receiver. However, with receiver MRC, most of the system complexity is concentrated at the receiver side (which is mobile station in wireless links) [13].…”

“…In general, there are three categories of MIMO techniques; the first technique aims to improve the power efficiency by maximizing diversity gain and is known as Spatial Diversity. Such techniques include STBC and STTC [3]. The second class intended to increase the channel capacity, are known as Spatial multiplexing (SM).…”