Computer Science ›› 2018, Vol. 45 ›› Issue (5): 49-53.doi: 10.11896/j.issn.1002-137X.2018.05.008

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Resource Allocation Algorithm for Cognitive Heterogeneous Networks Based on Imperfect Spectrum Sensing

ZHUANG Ling and YIN Yao-hu   

  • Online:2018-05-15 Published:2018-07-25

Abstract: In order to solve the problem about interference mitigation in the cognitive heterogeneous networks,this paper studied how to reduce the interference to macrocell users(MU) and improve system throughput.By analyzing the source of interference completely,the interference model with imperfect spectrum sensing is established.Based on the user’s topology information,the optimize problem is built to maximize the downlink throughput with considering total power constraint and interference constraint.Then the problem is simplified based on the analysis of Karush-Kuhn-Tucker(KKT) conditions,and the resource allocation algorithm is designed with the imperfect spectrum sensing.Simulation results and performance analysis show that the proposed algorithm has less interference to MU than the algorithm with perfect spectrum sensing,and achieves better throughput performance.

Key words: Cognitive heterogeneous networks,Interference mitigation,Resource allocation,Spectrum sensing

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