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协作中继认知无线电中功率分配算法
引用本文:周明月,蔡天远,王宏志.协作中继认知无线电中功率分配算法[J].吉林大学学报(理学版),2020,58(1):127-132.
作者姓名:周明月  蔡天远  王宏志
作者单位:长春工业大学 计算机科学与工程学院, 长春 130012
基金项目:国家自然科学基金;吉林省教育厅十三五科学技术研究项目
摘    要:基于协作中继的思想, 提出一种组成次用户协助主用户传输的系统模型, 用基于解码转发的Lagrange对偶优化功率分配算法进行功率分配, 解决了次用户接入主用户频段产生的干扰过大问题. 仿真结果表明, 该算法在保障次用户正常通信的前提下, 可大幅度降低对主用户的干扰, 即可有效增大主用户对外界环境的抵抗力, 并提高主用户的系统容量.

关 键 词:认知无线电    协作中继    功率分配    Lagrange算子  
收稿时间:2019-03-22

Power Allocation Algorithm in Cooperative Relay Cognitive Radio
ZHOU Mingyue,CAI Tianyuan,WANG Hongzhi.Power Allocation Algorithm in Cooperative Relay Cognitive Radio[J].Journal of Jilin University: Sci Ed,2020,58(1):127-132.
Authors:ZHOU Mingyue  CAI Tianyuan  WANG Hongzhi
Institution:School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
Abstract:Based on the idea of cooperative relay, we proposed a system model that the secondary user assisted the primary user to transmit, and used the Lagrange dual optimized power allocation algorithm based on decoding and forwarding for power allocation, which solved the problem of excessive interference caused by the secondary user accessing the primary user frequency band. The simulation results show that the proposed algorithm can greatly reduce the interference to the  primary users under the premise of ensuring the normal communication of the secondary users, effectively increase the resistance of the primary user to the external environment and improve the system capacity of the primary user.
Keywords:cognitive radio  cooperative relay  power allocation  Lagrangian operator  
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