Title
QoE-oriented partially overlapping channel access in wireless networks: a game-theoretic learning approach
Abstract
In order to promote the spectral utilization, this article investigates the partially overlapping channel (POC) accessing problem in the wireless network. To reflect the heterogeneous characteristics of users, the optimization goal is set as maximizing the quality of service (QoE), instead of maximizing the throughput or minimizing the interference. The problem is formulated as a QoE maximization game and is then proved to be an ordinal potential game by utilizing the approximate relationship between interference and QoE. The proposed game is proved to have at least one pure Nash equilibrium (NE) and the best pure strategy NE point is an approximate global optimum of maximizing network QoE. A distributed algorithm is designed to reach the NE and it is proved that when the learning parameter is large enough, the algorithm asymptotically maximizes the network QoE. Simulation results verify the effectiveness of utilizing POCs and the proposed method.
Year
DOI
Venue
2020
10.1007/s11276-018-1842-9
Wireless Networks
Keywords
Field
DocType
Partially overlapping channel, Potential game, Quality of service
Wireless network,Strategy,Computer science,Potential game,Quality of service,Distributed algorithm,Throughput,Nash equilibrium,Maximization,Distributed computing
Journal
Volume
Issue
ISSN
26
2
1572-8196
Citations 
PageRank 
References 
0
0.34
29
Authors
6
Name
Order
Citations
PageRank
Jianjun Jing1101.89
Kailing Yao2153.35
Yuhua Xu385769.31
Xin Liu424438.07
Yuli Zhang572.86
Changhua Yao601.01