DocumentCode :
112340
Title :
Outage Minimization via Power Adaptation and Allocation in Truncated Hybrid ARQ
Author :
Jabi, Mohammed ; Szczecinski, Leszek ; Benjillali, Mustapha ; Labeau, Fabrice
Author_Institution :
INRS, Univ. of Quebec, Montreal, QC, Canada
Volume :
63
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
711
Lastpage :
723
Abstract :
In this work, we analyze hybrid ARQ (HARQ) transmission over the independent block fading channel. We consider two scenarios with respect to the message sent by the receiver via the feedback channel: i) “conventional”, one-bit feedback used to inform the transmitter about the decoding success/failure (ACK/NACK), and ii) the multi-bit feedback message, where on top of ACK/NACK, the transmitter is provided with additional information about the state of the receiver. To minimize the outage probability under long-term average and peak power constraints, we cast the problems into the dynamic programming (DP) framework and solve them for Nakagami-m fading channels. An approximate, closed-form solution for the high signal-to-noise ratio (SNR) regime is proposed using geometric programming (GP). The obtained results quantify the advantage of the multi-bit feedback over the conventional one-bit approach, and show that the power optimization can provide significant gains over conventional power-constant HARQ transmissions even in the presence of peak-power constraints.
Keywords :
Nakagami channels; automatic repeat request; dynamic programming; geometric programming; probability; radio receivers; radio transmitters; telecommunication network reliability; telecommunication power management; ACK-NACK; DP; GP; HARQ transmission; Nakagami-m fading channels; SNR; automatic repeat request; block fading channel; dynamic programming; feedback channel; geometric programming; multibit feedback message; outage minimization; outage probability; power adaptation; power allocation; power constraints; power optimization; signal-to-noise ratio; truncated hybrid ARQ; Automatic repeat request; Decoding; Fading; Optimization; Receivers; Resource management; Signal to noise ratio; Automatic Repeat Request; Automatic repeat request; Chase combining; Dynamic programming; Geometric programming; HARQ; Hybrid ARQ; Incremental redundancy; MRC; Maximumratio combining; Nakagami-${ssr m}$ fading; Nakagami-m Fading; Outage probability; chase combining; dynamic programming; geometric programming; hybrid ARQ; incremental redundancy; maximum-ratio combining; outage probability;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2014.2386882
Filename :
7000576
Link To Document :
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