NDLI: WLAN throughput management: A game theoretic TXOP scheduling approach

Content Provider	IEEE Xplore Digital Library
Author	Ziming Zhu Fengming Cao Zhong Fan
Copyright Year	2015
Description	Author affiliation: Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK (Ziming Zhu; Fengming Cao; Zhong Fan)
Abstract	This paper investigates the dynamic selection of transmission opportunity (TXOP) which was originally proposed in IEEE 802.11e Enhanced Distributed Channel Access (EDCA). A game theoretic optimisation framework is proposed to schedule the optimal TXOP value for every station according to the current channel capacity and transmission requirements of the stations, in order to improve the efficiency of TXOP scheduling and channel resource utilisation. The advantages of the proposed decentralised mechanism include the increased flexibility in TXOP allocation and the reduced complexity. The proposed mechanism has potential applications in the future IEEE 802.11ax standard. Theoretical study shows the existence of Nash equilibrium where the stations achieve an optimal TXOP scheduling. Numerical simulations are presented to demonstrate the proposed framework.
Starting Page	161
Ending Page	164
File Size	310815
Page Count	4
File Format	PDF
e-ISBN	9781467381864
DOI	10.1109/CAMAD.2015.7390501
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-07
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless LAN TXOP Channel capacity 802.11ax Games game theory Throughput Nash equilibrium Silicon WLAN EDCA Optimization
Content Type	Text
Resource Type	Article

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