Joint sensing and power allocation in wideband cognitive radio networks

Min Li, Yongqiang Hei () and Zhuo Qiu
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Min Li: Xidian University
Yongqiang Hei: Xidian University
Zhuo Qiu: Xidian University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 62, issue 2, No 10, 375-386

Abstract: 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.

Keywords: Wideband cognitive radio networks; Sequential parameter optimization; Adaptive power allocation; Gold section search; Taguchi algorithm (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11235-015-0081-y

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