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Dynamic spectrum access Based on Prior Knowledge Enabled Reinforcement Learning with Double Actions in Complex Electromagnetic Environment

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China Communications 2022年第7期19卷 13-24页

作者： Linghui Zeng Fuqiang Yao Jianzhao Zhang Min Jia The Sixty-third Research Institute National University of Defense TechnologyNanjing 210007China Communication Research Center School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbin 150080China

The spectrum access problem of cognitive users in the fast-changing dynamic interference spectrum environment is addressed in this *** prior knowledge for the dynamic spectrum access is modeled and a reliability quantification scheme is presented to guide the use of the prior knowledge in the learning ***,a spectrum access scheme based on the prior knowledge enabled RL(PKRL)is designed,which effectively improved the learning efficiency and provided a solution for users to better adapt to the fast-changing and high-density electromagnetic *** with the existing methods,the proposed algorithm can adjust the access channel online according to historical information and improve the efficiency of the algorithm to obtain the optimal access *** results show that,the convergence speed of the learning is improved by about 66%with the invariant average throughput.

关键词： prior knowledge reinforcement learning anti-jamming communication spectrum access

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Energy Aware spectrum access in Cognitive Radio Networks with Imperfect Channel Sensing

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China Communications 2012年第9期9卷 127-130页

作者： Wei Yifei Du Chenhui Feng Ruijun F. Richard Yu Beijing University of Posts and Telecommunications Beijing 100876 P. R. China China Mobile Communications Corporation Beijing 100032 P.R. China Department of Systems and Computer Engineering Carleton University Ottawa ON Canada

Due to the problem of spectrum underuti-lization and energy inefficiency in wireless commu-nications, the research on energy efficient Cogni-tive Radio Networks （CRNs） has received signifi-cant attention in both industry and academia. In this paper, we consider the problem of optimal spectrum selection and transmission parameters de-sign with the objective of minimizing energy con-sumption in CRNs. Since the system state cannot be directly observed due to miss detections and estimation errors, we formulate the optimal spec-trum access problem as a Partially Observable Markov Decision Process （POMDP）. In particular, the proposed scheme selects the optimal spectrum, modulation and coding scheme, transmission pow-er, and link layer frame size in each time slot ac-cording to the belief state, which captures all the history information of past actions and observa- tions. The optimal policy can be acquired by sol-ving POMDP problem with linear programming based algorithm Sinmlation results show that sig-nificant energy savings can be achieved by the proposed scheme.

关键词： spectrum access cognitive radio POMDP

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