Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks

Errong PEI  Bin SHEN  Fang CHENG  Xiaorong JING  

IEICE TRANSACTIONS on Communications   Vol.E97-B   No.1   pp.196-203
Publication Date: 2014/01/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.196
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Terrestrial Wireless Communication/Broadcasting Technologies
cognitive radio,  spectrum sensing,  power allocation,  convex optimization,  secondary throughput,  

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In cognitive radio networks, the dynamic traffic of the primary user can lead to not only the spectrum sensing performance degradation, but also co-channel interference between primary user and secondary user, and, furthermore, the secondary system throughput can be decreased. Taking into account the impact of the dynamic primary-user traffic on spectrum sensing performance and the secondary throughput, we study the optimization problem of maximizing the secondary throughput under the constraints of probability of detection, average interference and transmit power budget, and derive its optimal solution. The optimal power allocation scheme and the algorithm that can find the optimal sensing time are also proposed. The proposed algorithm is of great practical significance in the scenario where primary-user traffic varies very quickly, for example, in public safety spectrum band.