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

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概要

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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.

著者

• Jing Xiaorong

  School Of Communication And Information Engineering Chongqing University Of Posts And Telecommunicat

• SHEN Bin

  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

• CHENG Fang

  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

• PEI Errong

  School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

関連論文

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• Utility Based Cross-Layer Resource Allocation in Multiuser OFDM-Based Cognitive Radio Systems
• Optimal Sensing Time and Power Allocation in Dynamic Primary-User Traffic Model Based Cognitive Radio Networks

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