DocumentCode
813777
Title
The Impact of Channel Feedback on Opportunistic Relay Selection for Hybrid-ARQ in Wireless Networks
Author
Lo, Caleb K. ; Heath, Robert W., Jr. ; Vishwanath, Sriram
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX
Volume
58
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1255
Lastpage
1268
Abstract
This paper presents a decentralized relay selection protocol for a dense wireless network and describes channel feedback strategies that improve its performance. The proposed selection protocol supports hybrid automatic repeat request transmission where relays forward parity information to the destination in the event of a decoding error. Channel feedback is employed for refining the relay selection process and to select an appropriate transmission mode in a proposed adaptive modulation transmission framework. An approximation of the throughput of the proposed adaptive modulation strategy is presented, and the dependence of the throughput on system parameters such as the relay contention probability and the adaptive modulation switching point is illustrated via maximization of this approximation. Simulations show that the throughput of the proposed selection strategy is comparable with that yielded by a centralized selection approach that relies on geographic information.
Keywords
adaptive modulation; automatic repeat request; channel coding; decoding; error statistics; radio networks; wireless channels; adaptive modulation switching transmission framework; channel feedback strategy; decentralized relay selection protocol; decoding error probability; hybrid automatic repeat request transmission; hybrid-ARQ transmission; opportunistic relay selection; relay contention probability; wireless network; Adaptive modulation; automatic repeat request; automatic repeat request (ARQ); convolutional codes; relays;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2008.928896
Filename
4573257
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