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Joint sensing and power allocation in wideband cognitive radio networks

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Abstract

This paper investigates the optimization problem in wideband cognitive radio networks. It focuses on jointly optimizing the decision threshold, sensing time and transmission power to maximize the aggregate throughput under the constraints of local interference, false-alarm probability, missed detection probability and maximal total power of each secondary user. Sequential parameter optimization strategy is introduced to deal with different optimization parameters in the optimization problem. It starts with power allocation first, with the optimal power allocation vector obtained by adaptive power allocation strategy, the gold section search method combined with Taguchi algorithm is proposed to find the optimal sensing time with the optimal power allocation vector, and the optimal decision threshold with the optimal power allocation vector and sensing time is optimized through iterative process. Simulation results show that the proposed algorithm can achieve a better performance and is effective in solving such optimization problems.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (No. 61201135), in part by the Shaanxi Natural Science Foundation (No. 2015JQ6245), in part by the Fundamental Research Funds for the Central Universities (No. 7214569601), and in part by the 111 Project (B08038).

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Authors and Affiliations

  1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

    Min Li, Yongqiang Hei & Zhuo Qiu

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  1. Min Li
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  2. Yongqiang Hei
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  3. Zhuo Qiu
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Correspondence to Yongqiang Hei.

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Li, M., Hei, Y. & Qiu, Z. Joint sensing and power allocation in wideband cognitive radio networks. Telecommun Syst 62, 375–386 (2016). https://doi.org/10.1007/s11235-015-0081-y

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