TITLE:
Maximum Likelihood Detection for Detect-and-Forward Relay Channels
AUTHORS:
Azlan Abd Aziz, Yasunori Iwanami
KEYWORDS:
Cooperative Relay, Detect-and-Forward, Maximum-Likelihood Criterion Detection
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.4 No.2,
February
26,
2011
ABSTRACT: This paper introduces a simple combining technique for cooperative relay scheme which is based on a Detect-and-Forward (DEF) relay protocol. Cooperative relay schemes have been introduced in earlier works but most of them ignore the quality of the source-relay (S-R) channel in the detection at the destination, although this channel can contribute heavily to the performance of cooperation schemes. For optimal detection, the destination has to account all possible error events at the relay as well. Here we present a Maximum Likelihood criterion (ML) at the destination which considers closed-form expressions for each symbol error rate (SER) to facilitate the detection. Computer simulations show that significant diversity gain and Packet Error Rate (PER) performance can be achieved by the proposed scheme with good tolerance to propagation errors from noisy relays. In fact, diversity gain is increased with additional relay nodes. We compare this scheme against the baseline Cooperative-Maximum Ratio Combining (C-MRC).