NDLI: Reliability-based detection for decode-and-forward relaying in cooperative communications

Content Provider	IEEE Xplore Digital Library
Author	Tsang-Yi Wang Jwo-Yuh Wu
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan (Jwo-Yuh Wu) \|\| Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan (Tsang-Yi Wang)
Abstract	This paper considers the decode-and-forward (DF) relaying scheme in cooperative communication networks. Specifically, this study considers a cooperative network, in which each relay can obtain perfect channel state information (CSI) from the source to itself, and the destination can acquire perfect CSI from all the relays to itself, but the destination does not need all CSI from the source to all participating relays. For the considered semi-blind model, we propose a quantized reliability-relaying (QRR) scheme, in which each relay quantizes the value of the log-likelihood ratio (LLR) into three levels and forwards the message to the destination if the LLR value falls into the “send +1” and “send −1” regions, and keeps silent if the LLR value falls into the “no-send” region. Under the semi-blind model and the same average power constraint imposed at each relay, we compare the QRR scheme with the traditional DF scheme. Through the theoretical analysis, the work shows that the QRR scheme outperforms the traditional DF scheme. The simulation results also agree with the theoretical analysis.
Starting Page	165
Ending Page	168
File Size	671776
Page Count	4
File Format	PDF
ISBN	9781467310703
ISSN	2151870X
e-ISBN	9781467310710
DOI	10.1109/SAM.2012.6250456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Reliability Signal to noise ratio Optimized production technology Wireless communication Bit error rate Communication networks
Content Type	Text
Resource Type	Article

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