Abstract | ||
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We propose a light-weight performance analysis of Wi-Fi offload using a simple Markov model. Although the proposed model does not describe the behavior of the contention window of each station in detail, it allows us to analyze the non-saturation throughput while considering interaction among interfering stations and the queueing behavior of each station. In addition to this, the proposed model does not need to use the assumption that frames arrive at relay station according to a Poisson process. In this paper, we show how to apply the mean field approximation to the model to significantly reduce the amount of computation. We show that the proposed model accurately estimates the throughput performance of the Wi-Fi offload, and that the mean-field approximation is still valid in the scenario of the Wi-Fi offload. |
Year | Venue | Field |
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2015 | Asia-Pacific Conference on Communications | Computer science,Markov model,Decision support system,Computer network,Real-time computing,Mean field theory,Queueing theory,Throughput,Poisson process,Relay,Computation |
DocType | ISSN | Citations |
Conference | 2163-0771 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiang Li | 1 | 345 | 82.16 |
Yuki Narita | 2 | 1 | 0.71 |
Yuta Gotoh | 3 | 1 | 0.71 |
Shigeo Shioda | 4 | 165 | 26.69 |
Nobuyoshi Komuro | 5 | 60 | 10.11 |
Hiroo Sekiya | 6 | 261 | 44.66 |
Shiro Sakata | 7 | 51 | 16.98 |
K. Miyoshi | 8 | 4 | 4.68 |
Tutomu Murase | 9 | 169 | 43.26 |