NDLI: A Lightweight Selection Cooperation Protocol with Multiple Available Best Relays

Content Provider	IEEE Xplore Digital Library
Author	Min Li Miao Yu Yi Zhang Heng Wang
Copyright Year	1997
Abstract	Selection cooperation has shown to be a practical cooperative strategy for wireless networks. In order to obtain full diversity gain, conventional selection cooperation schemes must select the node with the maximum relay-destination channel as the best relay, which restricts the choice of relay selection for the system. To overcome this limitation, we propose a lightweight selection cooperation protocol without requiring the radio of nodes to perform combining reception. Through outage probability and diversity-multiplexing tradeoff (DMT) analysis, we reveal an interesting fact that choosing any node that successfully receives the message from the source and the feedback frame from the destination as the best relay, the protocol always achieves the full diversity order and the optimal DMT. This result establishes a framework for obtaining multiple optimization objectives in selection cooperation networks. As an illustrative example, we then develop two best relay selection methods for relay balance without sacrificing the full diversity order. Simulation results demonstrate the remarkable performance and balance effect of the proposed protocol and selection methods.
Starting Page	1172
Ending Page	1175
Page Count	4
File Size	310337
File Format	PDF
ISSN	10897798
Volume Number	17
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relays Protocols Diversity methods Signal to noise ratio Diversity reception Optimization Educational institutions relay balance Selection cooperation relay selection cooperative diversity
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications

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