JOURNAL ARTICLE

Multi-Stage Pricing Game for Collusion-Resistant Dynamic Spectrum Allocation

Zhu JiK. J. Ray Liu

Year: 2008 Journal:   IEEE Journal on Selected Areas in Communications Vol: 26 (1)Pages: 182-191   Publisher: Institute of Electrical and Electronics Engineers

Abstract

ZhuJiandK.J.RayLiu,Fellow, IEEE Abstract—In order to fully utilize scarce spectrum resources, dynamic spectrum allocation becomes a promising approach to increase the spectrum efficiency for wireless networks. However, the collusion among selfish network users may seriously deteriorate the efficiency of dynamic spectrum sharing. The network users ’ behaviors and dynamics need to be taken into consideration for efficient and robust spectrum allocation. In this paper, we model the spectrum allocation in wireless networks with multiple selfish legacy spectrum holders and unlicensed users as multi-stage dynamic games. In order to combat user collusion, we propose a pricing-based collusion-resistant dynamic spectrum allocation approach to optimize overall spectrum efficiency, while not only keeping the participating incentives of the selfish users but also combating possible user collusion. The simulation results show that the proposed scheme achieves high efficiency of spectrum usage even with the presence of severe user collusion. Index Terms—Game theory, auction theory, cognitive radio, spectrum management, wireless networks. I.

Keywords:
Collusion Computer science Frequency allocation Incentive Wireless Computer network Dynamic pricing Wireless network Spectrum management Game theory Resource allocation Telecommunications Cognitive radio Microeconomics Economics

Metrics

155
Cited By
19.40
FWCI (Field Weighted Citation Impact)
17
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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