Lifetime maximization via joint channel and power assignment for incremental-relay multi-channel systems

作     者：Lihua PANG Yang ZHANG Ruiyu HAN Kaiyang BAI Guangliang REN JiANDong LI 

作者机构：School of Information Engineering Xi'an University of Science and Technology State Key Laboratory of Integrated Service Networks Xidian University National Mobile Communications Research Laboratory Southeast University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2019年第62卷第2期

页      面：119-130页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported in part by National Natural Science Foundation of China (Grant Nos. 61401321, 61701392, 91538105) Fundamental Research Funds for the Central Universities (Grant No. JB180107) National Basic Research Program of China (Grant No. 2014CB340206) Open Research Fund of National Mobile Communications Research Laboratory (Grant No. 2015D01) Scientific Research Plan Projects of Shaanxi Provincial Department of Education (Grant Nos. 16JK1498, 16JK1501) China Postdoctoral Science Foundation (Grant No. 2015M5826) Natural Science Foundation of Xi’an University of Science and Technology (Grant No. 2018YQ3-07) 

主　　题：lifetime maximization incremental relaying amplify-and-forward multi-channel systems resource optimization 

摘      要：A comprehensive resource optimization framework is designed for incremental amplify-andforward orthogonal frequency division multiplexing(AF-OFDM) relaying systems to maximize the network lifetime. Specifically, joint channel and power assignment, i.e., all degrees of freedom such as incremental policy, channel pairing, relay selection, and power allocation, are optimized with quality of service(QoS)constraints. The lifetime maximization problem is formulated as a mixed-integer nonlinear programming which at first glance seems mathematically intractable. However, a two-nested search loop, in which the outer loop varies the lifetime based on bisection criterion until finding the optimum while the inner loop attempts to derive the corresponding feasible solution set for that given lifetime by employing dual decomposition and subgradient techniques, is then presented to solve it. Numerical results are shown to verify the near-optimality and the effectiveness of our proposal.