Paper Info
Title
Spectrum trading algorithm based on memory in cognitive radio network
Abstract
AbstractIn cognitive radio networks, the most important goal of spectrum sharing is to benefit both the seller and buyer. In order to increase the total benefits generated in spectrum sharing, this paper introduces a memory mechanism between the spectrum agent and multi-primary service providers PSPs and proposes a spectrum trading algorithm based on the mechanism. In this algorithm, all PSPs compete with each other and sell their idle spectrum resource to the agent to maximise their own profits. Then, the agent auctions the spectrum resources obtained in multi-secondary users. Finally, a new auction pricing function is designed to decrease the auction trading prices and increase the benefits of secondary users. Nash equilibrium is considered to be the optimal result. Simulation results show that the proposed algorithm provides 10-15% margin over the conventional algorithm both in the price and spectrum quantity. Copyright © 2014 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/ett.2830
Periodicals
Field
DocType
Volume
Idle,Computer science,Algorithm,Spectrum trading,Service provider,Common value auction,Nash equilibrium,Spectrum sharing,Profit (economics),Cognitive radio
Journal
26
Issue
ISSN
Citations 
2
2161-3915
0
PageRank 
References 
Authors
0.34
22
4
Name
Order
Citations
PageRank
Shibing Zhang142.42
Guodong Zhang200.34
Zhihua Bao34410.32
Xiaoge Zhang400.34