Title
Probabilistic Resource Allocation for Opportunistic Spectrum Access
Abstract
Opportunistic spectrum access (OSA) in cognitive radio (CR) networks significantly improves spectrum efficiency by allowing secondary usage of licensed spectrum. In this paper, we propose a probabilistic resource allocation approach to further exploit the flexibility of OSA. Based on the probabilities of channel availability obtained from spectrum sensing, the proposed approach optimizes channel and power allocation in a multi-channel environment. The given algorithm maximizes the overall utility of a CR network and ensures sufficient protection of licensed users from unacceptable interference, which also supports diverse quality-of-service requirements and enables a distributed implementation in multi-user networks. Both analytical and simulation results demonstrate the effectiveness of this approach as well as its advantage over conventional approaches that rely upon the hard decisions on channel availability.
Year
DOI
Venue
2010
10.1109/TWC.2010.070610.091511
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
proposed approach optimizes channel,spectrum efficiency,cognitive radio networks,conventional approach,channel availability,quality-of-service,quality of service,cognitive radio,probabilistic resource allocation,probabilistic information,resource allocation,channel allocation,licensed spectrum,opportunistic spectrum access,probabilistic resource allocation approach,power allocation,spectrum sensing,licensed user,cr network,probabilistic logic,resource management,spectrum,chromium,availability,helium,sensors,interference
Resource management,Quality of service,Communication channel,Computer network,Resource allocation,Spectral efficiency,Probabilistic logic,Channel allocation schemes,Mathematics,Cognitive radio
Journal
Volume
Issue
ISSN
9
9
1536-1276
Citations 
PageRank 
References 
27
1.20
20
Authors
5
Name
Order
Citations
PageRank
Xiangwei Zhou145135.87
Geoffrey Ye Li29071660.27
Dongdong Li324640.19
Dandan Wang4745.17
Anthony C. K. Soong5197274.25