Patras, Paul and Qi, Hanghang and Malone, David (2012) Exploiting the Capture Effect to Improve WLAN Throughput. In: 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE, pp. 1-9. ISBN 9781467312387

Preview

Download (244kB) | Preview

Abstract

In practical WLAN deployments, the capture effect has been shown to enhance the performance of stations residing close to the AP, while putting at disadvantage the distant nodes. In this paper, we introduce an analytical model to characterise the performance of 802.11 devices with heterogeneous capture probabilities and different network loads, and explore the interaction between the MAC operation and PHY capture. Unlike previous studies, we reveal that the throughput of stations experiencing low capture probabilities can also benefit from the capture effect when the stations retaining high capture probabilities are not saturated. Following these findings, we design a power-hopping scheme for 802.11 MAC that exploits the benefits of the capture effect to improve performance in dense deployments where nodes experience similar channel conditions. We investigate the potential gains of this mechanism by implementing a practical approximation using commercial off-the-shelf hardware and open-source drivers and, by conducting experiments in a real testbed, we show that our scheme can significantly outperform the standard 802.11 protocol in terms of throughput.

Item Type:	Book Section
Additional Information:	The research leading to these results has received funding from the European Community’s 7th Framework Programme (FP7-ICT-2009-5) under grant agreement n. 257263 (FLAVIA project) and the Irish HEA PRTLI Cycle 4 FutureComm.
Keywords:	802.11 MAC; 802.11 devices performance; WLAN deployments; WLAN throughput; capture effect; open-source drivers; power-hopping scheme; standard 802.11 protocol;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Mathematics and Statistics
Item ID:	6301
Identification Number:	https://doi.org/10.1109/WoWMoM.2012.6263697
Depositing User:	Dr. David Malone
Date Deposited:	19 Aug 2015 15:58
Publisher:	IEEE
Refereed:	Yes
Funders:	Higher Education Authority (HEA)
URI:	http://ieeexplore.ieee.org
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads