Jianfei Tong, Yang Lu, Donglei Zhang, Gaofeng Cui, Weidong Wang
{"title":"高空平台通信系统的最大最小模拟波束形成","authors":"Jianfei Tong, Yang Lu, Donglei Zhang, Gaofeng Cui, Weidong Wang","doi":"10.1109/ICCCHINA.2018.8641188","DOIUrl":null,"url":null,"abstract":"This paper considers a Multi-User Multiple Input Multiple Output (MU-MIMO) communication scenario, which is based on high altitude platforms (HAPs) equipped with a large scale antenna array. Traditional digital beamformers require plenty of RF chains so that large power consumption is inevitable. Moreover, sophisticated amplitude-phase design of digital beamforming in baseband will lead to high computational complexity. Therefore, we propose a max-min analog beamforming algorithm named as Epigraph-Relax-Bisection-Decomposition (ERBD) for HAP-based MU-MIMO communication systems, which achieves less power consumption compared to digital ones. The scheme uses a semi-definite relaxation (SDR) approach to approximate the quadratically constraint quadratic programming (QCQP) beamforming problem. Simulation results show that the proposed ERBD algorithm outperforms the traditional analog beamforming algorithms. ERBD is suitable for power consumption limited HAP-based communication systems.","PeriodicalId":170216,"journal":{"name":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Max-min Analog Beamforming for High Altitude Platforms Communication Systems\",\"authors\":\"Jianfei Tong, Yang Lu, Donglei Zhang, Gaofeng Cui, Weidong Wang\",\"doi\":\"10.1109/ICCCHINA.2018.8641188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers a Multi-User Multiple Input Multiple Output (MU-MIMO) communication scenario, which is based on high altitude platforms (HAPs) equipped with a large scale antenna array. Traditional digital beamformers require plenty of RF chains so that large power consumption is inevitable. Moreover, sophisticated amplitude-phase design of digital beamforming in baseband will lead to high computational complexity. Therefore, we propose a max-min analog beamforming algorithm named as Epigraph-Relax-Bisection-Decomposition (ERBD) for HAP-based MU-MIMO communication systems, which achieves less power consumption compared to digital ones. The scheme uses a semi-definite relaxation (SDR) approach to approximate the quadratically constraint quadratic programming (QCQP) beamforming problem. Simulation results show that the proposed ERBD algorithm outperforms the traditional analog beamforming algorithms. ERBD is suitable for power consumption limited HAP-based communication systems.\",\"PeriodicalId\":170216,\"journal\":{\"name\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE/CIC International Conference on Communications in China (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCHINA.2018.8641188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/CIC International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCHINA.2018.8641188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Max-min Analog Beamforming for High Altitude Platforms Communication Systems
This paper considers a Multi-User Multiple Input Multiple Output (MU-MIMO) communication scenario, which is based on high altitude platforms (HAPs) equipped with a large scale antenna array. Traditional digital beamformers require plenty of RF chains so that large power consumption is inevitable. Moreover, sophisticated amplitude-phase design of digital beamforming in baseband will lead to high computational complexity. Therefore, we propose a max-min analog beamforming algorithm named as Epigraph-Relax-Bisection-Decomposition (ERBD) for HAP-based MU-MIMO communication systems, which achieves less power consumption compared to digital ones. The scheme uses a semi-definite relaxation (SDR) approach to approximate the quadratically constraint quadratic programming (QCQP) beamforming problem. Simulation results show that the proposed ERBD algorithm outperforms the traditional analog beamforming algorithms. ERBD is suitable for power consumption limited HAP-based communication systems.