NDLI: A contract-based model for dynamic spectrum sharing

Content Provider	IEEE Xplore Digital Library
Author	Fangwei Li Jing, L.V. Jiang Zhu
Copyright Year	2013
Description	Author affiliation: Chongqing Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China (Fangwei Li; Jing, L.V.; Jiang Zhu)
Abstract	Cognitive radio can improve the utilization of spectrum resources through allowing the unlicensed users (i.e., secondary users) use the spectrum of licensed users (i.e., primary users). The spectrum allocation of the primary user is one of the key issues of cognitive radio technology, and that is how to share the spectrum resources with the secondary users. Market-driven spectrum trading is an efficient way for dynamic spectrum sharing. In this paper, we consider the problem of spectrum sharing in the scenario consisting of one primary user and multiple secondary users, and propose a dynamic spectrum sharing model based on contracts and then solve the model by particle swarm optimization (PSO) algorithm. In this model, secondary users pay to the primary user according to the obtained actual capacity by a certain percentage. The primary user provides different quality of the channel resources to different secondary users, and the spectrum resources are optimized utilization. Simulation analysis shows that the system efficiency on the model is close to the optimal system efficiency in theory.
Starting Page	948
Ending Page	953
File Size	332272
Page Count	6
File Format	PDF
ISBN	9781479914067
DOI	10.1109/ChinaCom.2013.6694731
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Degradation different quality Channel capacity cognitive radio dynamic spectrum sharing PSO algorithm contract Cognitive radio Resource management Contracts
Content Type	Text
Resource Type	Article

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