Novel Spectrum Allocation Algorithm Based on the Activities of Primary Users for Cognitive Radio Networks
Yao Wang, Zhong-Zhao Zhang, Lin Ma, Jia-Mei Chen
Communication Research Center, Harbin Institute of Technology, Harbin 150080, China
Abstract:
In traditional cognitive radio (CR) network, most existing graph-based spectrum allocation schemes don’t take on-off behavior of primary users (PUs) into consideration. In this paper, a novel spectrum allocation algorithm based on the activities of the PUs is proposed. The proposed algorithm mainly focuses on the vacant probability of licensed spectrums. And it allocates the vacant spectrums considering the interference to the neighbor cognitive nodes and the probability fairness of different cognitive nodes during the allocation. Based on the definition of the obtained benefit of cognitive node, new utility functions are formulated to characterize the system total spectrum utilization and fairness performance from the perspective of available probability. The simulation results validate that the proposed algorithm with low system communication cost is more effective than the traditional schemes when the available licensed spectrums are not sufficient, which is effective and meaningful to a real CR system with bad network condition.
Key words: cognitive radio, resource allocation, activities of primary users, fairness.
DOI：10.11916/j.issn.1005-9113.2013.01.011
Clc Number:TN92
Fund:
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Novel Spectrum Allocation Algorithm Based on the Activities of Primary Users for Cognitive Radio Net
本站小编 哈尔滨工业大学/2019-10-24
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