Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TWC.2011.011111.101027 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
conventional rate adaptation scheme,proposed rate adaptation scheme,optimal rate adaptation,rate adaptation,proposed gaussian approximation,practical wireless channel,proposed scheme,time-correlated rayleigh fading channels,hybrid arq,effective channel power gain,exact channel distribution,delay-limited throughput,rate adaptation scheme,automatic repeat request,correlation,harq,approximation theory,gaussian processes,throughput,probability,fading,hybrid automatic repeat request | Link adaptation,Hybrid automatic repeat request,Rayleigh fading,Computer science,Fading,Computer network,Communication channel,Automatic repeat request,Gaussian process,Throughput | Journal |
Volume | Issue | ISSN |
10 | 3 | 1536-1276 |
Citations | PageRank | References |
36 | 1.29 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Su Min Kim | 1 | 129 | 19.92 |
| Wan Choi | 2 | 2975 | 198.56 |
| Tae Won Ban | 3 | 301 | 25.86 |
| Dan Keun Sung | 4 | 1478 | 147.84 |