Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding
{"title":"全双工云接入dein的联合收发器设计","authors":"Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding","doi":"10.1145/3335656.3335691","DOIUrl":null,"url":null,"abstract":"With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.","PeriodicalId":396772,"journal":{"name":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Transceiver Design for Fully-Duplex Cloud-Access DEINs\",\"authors\":\"Qin Yu, Junliang Yu, Jie Hu, Kun Yang, Taijun Wang, Rongsheng Ding\",\"doi\":\"10.1145/3335656.3335691\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.\",\"PeriodicalId\":396772,\"journal\":{\"name\":\"Proceedings of the 2019 International Conference on Data Mining and Machine Learning\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 International Conference on Data Mining and Machine Learning\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3335656.3335691\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Data Mining and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3335656.3335691","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint Transceiver Design for Fully-Duplex Cloud-Access DEINs
With the rapid development of communication technology, the demand of rate of communication network is higher and higher, and the problem of energy consumption is becoming more and more serious. Data and Energy Integrated communication Networks (DEINs) can simultaneously transmit information and energy for the terminal, which greatly improves the convenience of the terminal and makes devices without batteries possible in future. This paper studies the joint design of transceivers in a full-duplex cloud access number-integrated network. The system model considers both upstream and downstream users. Considering the need for joint resource allocation for system uplink and downlink, full-duplex technology and self-interference caused by full-duplex technology are considered into the system. The optimization goal of this problem is to minimize the total power consumption under the uplink and downlink SINR and EH constraints. For this non-convex optimization problem, An algorithm combining ZF beamforming and MRT beamforming is proposed. In the hybrid beamforming algorithm, the zero-forcing (ZF) beamformer and MRT beamformer are linearly combined, which simplifies the optimization of the downlink beam vector to the optimization of the combination ratio. The proposed algorithm is simulated. Simulation results show that the power consumed in the half-duplex scenario is higher than that in the full duplex scenario. The time spent in the hybrid beamforming algorithm does not change with the increase in the number of RRH antennas.