Performance Analysis of SNR-Based Selection Combining and BER-Based Selection Combining of Signals with Different Modulation Levels in Cooperative Communications

Abstract

Abstract-Cooperative relaying introduces spatial diversity through the creation of a virtual antenna array. The vast majority of the research in digital cooperative relaying assumes the modulation level used by both the source and relay to be the same. This assumption does not necessarily hold when adaptive modulation is implemented. In conventional selection combining, the branch with the highest SNR is chosen; we refer to this scheme as SNRbased selection combining (SNR-SC). In this paper, we introduce BER-based selection combining (BER-SC), as an alternative to SNR-SC, to be used in cooperative communications when a relay may use a modulation level different than that of the source. We provide BER performance analysis for the SNR-SC and BER-SC schemes and show that BER-SC significantly outperforms SNR-SC, without any increase in complexity. Moreover, we analytically quantify the gain achieved by using BER-SC over SNR-SC through asymptotic approximation. We note that BER-SC and SNR-SC schemes are identical when the received signals belong to the same modulation level.

Investigation of SNR Estimation Algorithms of FM Signal for the Underwater Acoustic Channel

“…SNR estimation is very important in modern communication system, it is often seen as a parameter of channel quality, the accurate estimation of SNR can improve channel demodulating ability in frequency modulation communication [1] EHM, SE, FD, EMV and M2M4 are considered to be the centralized SNR estimation methods.…”