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Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio
Science Discovery
Volume 5, Issue 5, October 2017, Pages: 355-361
Received: Aug. 13, 2017; Published: Aug. 17, 2017
Views 1591      Downloads 96
Authors
Fulai Liu, Engineering Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China
Zhenxing Sun, School of Computer Science and Engineering, Northeastern University, Shenyang, China; Northeast Petroleum University at Qinhuangdao, Qinhuangdao, China
Ruiyan Du, Engineering Optimization & Smart Antenna Institute, Northeastern University at Qinhuangdao, Qinhuangdao, China
Lei Shi, Spreadtrum Communications Company Limited, Shanghai, China
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Abstract
In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.
Keywords
Cognitive Radio, Spatial Reuse, Game Theory, Power Allocation
To cite this article
Fulai Liu, Zhenxing Sun, Ruiyan Du, Lei Shi, Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio, Science Discovery. Vol. 5, No. 5, 2017, pp. 355-361. doi: 10.11648/j.sd.20170505.19
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