Paper Info
Title
Channel assignment schemes for cooperative spectrum sensing in multi‐channel cognitive radio networks
Abstract
In this paper, channel assignment for spectrum sensing is studied in multi-channel cognitive radio (CR) networks to maximize the number of channels satisfying sensing performance (called available channels). Beginning with a nonlinear integer programming problem, we derive the upper bound of optimal value through many-to-many assignment problem and then propose three algorithms for both centralized and distributed scenarios. In centralized case, a heuristic scheme is proposed based on the signal-to-noise ratios (SNRs) over all primary channels (PCs). Then, a greedy scheme is proposed to reduce the reported information from the CRs. In distributed case, a novel scheme with multi-round operation is designed following the coalitional game theory. In each round, each CR selects some PCs based on SNRs. Then, the CRs selecting the same channel play coalitional game, and thereby, multiple games are played concurrently over multiple channels. Finally, the best coalition for each channel is chosen among the formed coalitions to perform the cooperative spectrum sensing. The simulation results show that the proposed schemes can significantly increase the number of available channels. Copyright (c) 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/wcm.2442
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Keywords
Field
DocType
multi-channel cognitive radio networks,channel assignment,cooperative spectrum sensing,coalitional game,centralized scheme,distributed scheme
Heuristic,Nonlinear integer programming,Computer science,Upper and lower bounds,Computer network,Communication channel,Multi channel,Assignment problem,Game theory,Distributed computing,Cognitive radio
Journal
Volume
Issue
ISSN
15.0
10.0
1530-8669
Citations 
PageRank 
References 
7
0.48
14
Authors
4
Name
Order
Citations
PageRank
Weiwei Wang1808.13
Behzad Kasiri2493.62
Jun Cai337339.29
Attahiru Sule Alfa451071.89