Title
TVWS assisted performance anomaly mitigation exploiting spectrum heterogeneity.
Abstract
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
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
Kyubo Shin132.91
Hyoil Kim273452.04
Se Young Chun37218.18
Dong-Hoon Shin41667.31