Improving throughput in SWIPT-based wireless multirelay networks with relay selection and rateless codes

作     者：Gaofei Huang Qihong Zhong Hui Zheng Sai Zhao Dong Tang Gaofei Huang;Qihong Zhong;Hui Zheng;Sai Zhao;Dong Tang

作者机构：The Faculty of Electronics and Communication EngineeringGuangzhou UniversityGuangzhou510006China Research Institute of China Telecom Co.LtdGuangzhou510630China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2024年第10卷第4期

页      面：1131-1144页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported in part by the National Natural Science Foundation of China under Grant 61872098 and Grant 61902084 the Natural Science Foundation of Guangdong Province under Grant 2017A030313363 

主　　题：Simultaneous wireless information and power transfer Energy harvesting Relay networks Throughput maximization 

摘      要：This paper studies a dual-hop Simultaneous Wireless Information and Power Transfer(SWIPT)-based multi-relay network with a direct *** achieve high throughput in the network,a novel protocol is first developed,in which the network can switch between a direct transmission mode and a Single-Relay-Selection-based Cooperative Transmission(SRS-CT)mode that employs dynamic decode-and-forward relaying accomplished with Rateless Codes(RCs).Then,under this protocol,an optimization problem is formulated to jointly optimize the network operation mode and the resource allocation in the SRS-CT *** formulated problem is difficult to solve because not only does the noncausal Channel State Information(CSI)cause the problem to be stochastic,but also the energy state evolution at each relay is complicated by network operation mode decision and resource *** that noncausal CSI is available,the stochastic optimization issue is first to be addressed by solving an involved deterministic optimization problem via dynamic programming,where the complicated energy state evolution issue is addressed by a layered optimization ***,based on a finite-state Markov channel model and assuming that CSI statistical properties are known,the stochastic optimization problem is solved by extending the result derived for the noncausal CSI case to the causal CSI ***,a myopic strategy is proposed to achieve a tradeoff between complexity and performance without the knowledge of CSI statistical *** simulation results verify that our proposed SRS-and-RC-based design can achieve a maximum of approximately 40%throughput gain over a simple SRS-and-RC-based baseline scheme in SWIPT-based multi-relay networks.