Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks  

作　　者：ZHOU Zhikang ZHU Qi 

机构地区：[1]The Key Wireless Lab of Jiangsu Province, School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [2]Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education, Nanjing 210003, China

出　　处：《Chinese Journal of Electronics》2016年第2期357-363,共7页电子学报（英文版）

基　　金：supported by National Natural Science Foundation of China(No.61171094);National Basic Research Program of China(973 program)(No.2013CB329005);863 Program(No.2014AA01A705);Key Project of Jiangsu Provincial Natural Science Foundation(No.BK2011027)

摘　　要：Cooperative relaying has been emerging as a key technology in Cognitive radio(CR) networks. A two-way Amplify-and-forward(AF) based multi-relay CR network is considered, where a primary user coexists with a pair of secondary users and multiple relays. A Timeefficient sub-optimal power allocation scheme(TESOPA)based on Cauchy-Schwarz inequality is provided to maximize the total end-to-end transmission rate of the secondary system. TESOPA is proposed under maximal transmission power constraints, while ensuring the quality of service of the primary user during the whole communication process. The computational complexity is sharply decreased by using the Cauchy-Schwarz inequality. Simulation results show that the proposed TESOPA scheme performs very close to the near-optimal Interior point method based power allocation(IPMPA), especially in interference dominant networks where interference constraints play a key role in determining power allocation results instead of maximal transmission power constraints.Cooperative relaying has been emerging as a key technology in Cognitive radio（CR） networks. A two-way Amplify-and-forward（AF） based multi-relay CR network is considered, where a primary user coexists with a pair of secondary users and multiple relays. A Timeefficient sub-optimal power allocation scheme（TESOPA）based on Cauchy-Schwarz inequality is provided to maximize the total end-to-end transmission rate of the secondary system. TESOPA is proposed under maximal transmission power constraints, while ensuring the quality of service of the primary user during the whole communication process. The computational complexity is sharply decreased by using the Cauchy-Schwarz inequality. Simulation results show that the proposed TESOPA scheme performs very close to the near-optimal Interior point method based power allocation（IPMPA）, especially in interference dominant networks where interference constraints play a key role in determining power allocation results instead of maximal transmission power constraints.

关 键 词：Power allocation Relay network Cognitive radio Amplify-and-forward Two-way communication 

分 类 号：TN925[电子电信—通信与信息系统]