DocumentCode
1430746
Title
Optimal Rate Adaptation for Hybrid ARQ in Time-Correlated Rayleigh Fading Channels
Author
Kim, Su Min ; Choi, Wan ; Ban, Tae Won ; Sung, Dan Keun
Author_Institution
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Volume
10
Issue
3
fYear
2011
fDate
3/1/2011 12:00:00 AM
Firstpage
968
Lastpage
979
Abstract
Most analytical studies on hybrid automatic repeat request (HARQ) have been carried out in either slow fading or fast fading assumptions. However, since practical wireless channels typically exhibit a time-correlated property, we need to take into account the effects of time correlation in the design of HARQ. In this paper, we analyze the outage probability and delay-limited throughput of HARQ with rate adaptation in a time-correlated channel model. Then, we propose a rate adaptation scheme to maximize the delay-limited throughput and evaluate the performance of the proposed scheme under a delay constraint. Our analytical and numerical results show that the proposed rate adaptation scheme outperforms the conventional rate adaptation schemes. The proposed rate adaptation scheme is further simplified by using a Gaussian approximation on the effective channel power gain. The rate adaptation based on the proposed Gaussian approximation reduces the complexity and achieves a throughput gain comparable to that with the exact channel distributions.
Keywords
Gaussian processes; Rayleigh channels; approximation theory; automatic repeat request; correlation methods; probability; Gaussian approximation; HARQ; delay-limited throughput; hybrid ARQ; hybrid automatic repeat request; optimal rate adaptation; outage probability; time-correlated Rayleigh fading channel; wireless channel; Hybrid automatic repeat request (HARQ); delay-limited throughput; rate adaptation; time correlation;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2011.011111.101027
Filename
5692978
Link To Document