Distributed joint power and access control algorithm for secondary spectrum sharing

Hongyan Li; Enqing Chen; Hongliang Fu

doi:10.1117/12.867584

19 August 2010 Distributed joint power and access control algorithm for secondary spectrum sharing

Hongyan Li, Enqing Chen, Hongliang Fu

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 782010 (2010) https://doi.org/10.1117/12.867584
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

Based on interference temperature model, the problem of efficient secondary spectrum sharing is formulated as a power optimization problem with some constraints at physical layer. These constraints and optimization objective limit a feasible power vector set which leads to the need of access control besides power control. In this paper, we consider the decentralized cognitive radio network scenario where short-term data service is required, and the problem of distributed joint power and access control is studied to maximize the total secondary system throughput, subject to Quality of Service (QoS) constraints from individual secondary users and interference temperature limit (ITL) from primary system. Firstly, a pricing-based game model was used to solve distributed power allocation optimization problem in both high and low signal to interference noise ratio (SINR) scenarios. Secondly, when not all the secondary links can be supported with their QoS requirement and ITL, a distributed joint power and access control algorithm was introduced to find the allowable links which results in maximum network throughput with all the constraints satisfied, and the convergence performance is tested by simulations.

Citation Download Citation

Hongyan Li, Enqing Chen, and Hongliang Fu "Distributed joint power and access control algorithm for secondary spectrum sharing", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 782010 (19 August 2010); https://doi.org/10.1117/12.867584

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