Distributed channel assignment in cognitive radio networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
An ARQ mechanism considering resource and traffic priorities in cognitive radio systems
IEEE Communications Letters
Joint power management and beamforming for base stations in cognitive radio systems
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Comprehensive Capacity Ensured Distributed Binary Power Allocation in Dense Cognitive Networks
Journal of Network and Systems Management
Maximizing throughput for overlaid cognitive radio networks
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Combined power/channel allocation method for efficient spectrum sharing in TV white space scenario
Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
International Journal of Network Management
Reconfiguration Decision Making Based on Ant Colony Optimization in Cognitive Radio Network
Wireless Personal Communications: An International Journal
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We consider a cognitive radio network in which a set of base stations make opportunistic spectrum access to support fixed-location wireless subscribers within their cells. The spectrum of interest is divided into independent channels using frequency division multiple access (FDMA) and is licensed to the operator of a primary network. Channel assignment and power control must be carried out in the cognitive network so that no excessive interference is caused to users of the primary network. We are interested in the downlink channel/power allocation problem for the cognitive radio network, with the objective of maximizing the total number of active subscribers that can be supported. Here, we assume that each subscriber of the cognitive network can be either active or idle and only active subscribers require downlink transmission. We first consider the case when global knowledge of all active subscribers is available for making control decisions. In that case, a downlink channel/power allocation scheme that maximizes the number of supported subscribers can be obtained by solving a mixed-integer linear programming. We also propose a suboptimal scheme that can be obtained at lower complexity based on a dynamic interference graph. We then consider the case when control decisions can only be made based on local knowledge of active subscribers within each cell. For that, we propose a scalable two-phase channel/power allocation scheme. Numerical results show the effectiveness of our proposed schemes.