Xingguang Li, Xinxin Liu, Yunzhou Li, Limin Xiao, J. Wang
{"title":"A cooperative rate splitting scheme for device-to-device underlay cellular communication","authors":"Xingguang Li, Xinxin Liu, Yunzhou Li, Limin Xiao, J. Wang","doi":"10.23919/APCC.2017.8303965","DOIUrl":null,"url":null,"abstract":"We consider the cooperative rate splitting scheme in device-to-device (D2D) underlay cellular network to reduce the interference causing performance degradation of communication. At the transmitter end, the transmitted information is split into two parts: common information and private information. The common information is exchanged between base station and D2D transmitter, and encoded together. At the receiver end, the common information is firstly decoded jointly and cancelled out. In this paper, we derive the optimal power allocation factors for the common information and the private information to maximize the sum rate, just using the large-scale fading information which is known at the base station which can reduce the computational complexity greatly. The simulation results show that the proposed scheme achieves higher sum rate than traditional schemes.","PeriodicalId":320208,"journal":{"name":"2017 23rd Asia-Pacific Conference on Communications (APCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 23rd Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/APCC.2017.8303965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We consider the cooperative rate splitting scheme in device-to-device (D2D) underlay cellular network to reduce the interference causing performance degradation of communication. At the transmitter end, the transmitted information is split into two parts: common information and private information. The common information is exchanged between base station and D2D transmitter, and encoded together. At the receiver end, the common information is firstly decoded jointly and cancelled out. In this paper, we derive the optimal power allocation factors for the common information and the private information to maximize the sum rate, just using the large-scale fading information which is known at the base station which can reduce the computational complexity greatly. The simulation results show that the proposed scheme achieves higher sum rate than traditional schemes.