Abstract | ||
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Super Wi-Fi is a Wi-Fi-like service utilizing TV white spaces (TVWS), which has been revealed to provide higher data rates in the outskirts of Wi-Fi’s coverage, thanks to the spectrum heterogeneity between Wi-Fi bands and TVWS. Motivated by this, this paper proposes co-locating a Super Wi-Fi access point (AP) with a Wi-Fi AP aiming to mitigate the performance anomaly of the WLAN by relocating low-rate Wi-Fi stations (STAs) to Super Wi-Fi in the outskirts of Wi-Fi’s coverage. Then, the proposed strategy can enhance average per-STA throughput of both Wi-Fi STAs and relocated Super Wi-Fi STAs while also improving the data rate of Super Wi-Fi STAs, than they would achieve with the legacy Wi-Fi. To quantify such performance improvement, we model the system as a series of two-dimensional Markov chains and provide an in-depth analysis of steady-state probabilities and per-STA throughput. Numerical analysis has shown that Super Wi-Fi co-location improves not only average per-STA throughput but also spectral efficiency, compared to the legacy Wi-Fi with 20 or 20+20 MHz bandwidth for the single BSS scenario. In addition, average per-STA throughput and spectral efficiency are also enhanced in the OBSS scenario both in rural and urban environments. Hence, the co-location strategy is proven to be quite effective in enhancing WLAN’s performance. |
Year | DOI | Venue |
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2018 | 10.1016/j.comnet.2018.05.019 | Computer Networks |
Keywords | Field | DocType |
Super Wi-Fi,Wi-Fi,Spectrum white spaces,Spectrum heterogeneity,Performance anomaly | White spaces,Computer science,Markov chain,Bandwidth (signal processing),Data rate,Spectral efficiency,Throughput,Distributed computing,Performance improvement | Journal |
Volume | ISSN | Citations |
141 | 1389-1286 | 0 |
PageRank | References | Authors |
0.34 | 26 | 4 |
Name | Order | Citations | PageRank |
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Kyubo Shin | 1 | 3 | 2.91 |
Hyoil Kim | 2 | 734 | 52.04 |
Se Young Chun | 3 | 72 | 18.18 |
Dong-Hoon Shin | 4 | 166 | 7.31 |