Abstract | ||
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Rate adaptation based on Signal-to-Noise Ratio (SNR) measurements is a common channel adaptation scheme to increase throughput in wireless communication systems. To use rate adaptation efficiently in cooperative wireless networks, an adaptation algorithm must consider multiple channels (source-destination, source-relays, and relays-destination) to select modulation and code rates that maximize throughput. In this paper we analyze the potential gains that combining cooperation with rate adaptation brings in three steps: (1) We derive the theoretical capacity bounds for ideal rate adaptation schemes for typical topologies. (2) We propose an offline heuristic for computing SNR thresholds aimed at reaching the derived bounds. (3) Using this heuristic, we compare rate adaptation for Maximal Ratio Combining (MRC), where links are equally adapted, with Soft-Bit MRC (SBMRC), where links are individually adapted. We find that adapting the rate per link is superior in terms of throughput. |
Year | DOI | Venue |
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2009 | 10.1109/ICC.2009.5199393 | ICC |
Keywords | Field | DocType |
soft-bit mrc,ideal rate adaptation scheme,maximal ratio combining,rate adaptation,offline heuristic,signal-to-noise ratio,adaptation algorithm,rate-per-link adaptation,cooperative wireless network,common channel adaptation scheme,code rate,robustness,topology,wireless communication,link adaptation,wireless network,throughput,channel capacity,signal to noise ratio,broadcasting,fading,wireless networks | Link adaptation,Wireless network,Wireless,Computer science,Fading,Maximal-ratio combining,Computer network,Communication channel,Throughput,Channel capacity | Conference |
ISSN | Citations | PageRank |
1550-3607 | 4 | 0.45 |
References | Authors | |
7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hermann S. Lichte | 1 | 29 | 4.50 |
Stefan Valentin | 2 | 57 | 9.88 |
Holger Von Malm | 3 | 4 | 0.45 |
H. Karl | 4 | 1817 | 180.47 |
Akram Bin Sediq | 5 | 109 | 13.47 |
Imad Aad | 6 | 1150 | 104.13 |