能量效率认知无线电协作感知和传输联合优化

doi:10.3969/j.issn.1001-2400.2017.03.018

Abstract

Abstract:

Aiming at the low energy utilization caused by the sensing energy consumption of cognitive radio (CR), we propose to improve the energy efficiency (EE) of multi-channel CR by jointly optimizing cooperative spectrum sensing and transmission resources. Setting optimizing parameters such as cooperative spectrum sensing time, sensing threshold, transmission bandwidth and power, etc., the optimization model for maximizing EE is built based on the periodic cooperative spectrum sensing. The proposed non-convex optimization model is effectively resolved by a combined algorithm of the interior method and Dinkelbach's optimization. Simulation results show that when the detection probability is 0.6, compared with the traditional maximizing spectrum efficiency model, the transmission rate of the maximizing energy efficiency model increases by 100bit/(s·Hz^-1) under unit energy. The proposed model decreases the sensing power consumption and improves the energy utilization effectively.

Key words: cognitive radio, energy efficiency, cooperative spectrum sensing, spectrum efficiency, convex optimization

YANG Ming;LI Xiang;YANG Hao;LIU Xin;CHEN Kunqi. Joint optimization of cooperative sensing and transmission in energy-efficiency cognitive radio[J].Journal of Xidian University, 2017, 44(3): 101-107.

References

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Joint optimization of cooperative sensing and transmission in energy-efficiency cognitive radio

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