{"title":"MIMO系统保密信息传输优化","authors":"Xue Xiaoqin, Meng Gang","doi":"10.1109/CSQRWC.2019.8799343","DOIUrl":null,"url":null,"abstract":"This paper studies the Semidefinite Relaxation (SDR) precoding technique and applies it into MIMO system to minimize the transmission power with a certain secrecy channel capacity. In this paper, the null space precoding algorithm and the Taylor precoding algorithm are introduced and compared. The simulation results demonstrate that in the MIMO eavesdropping model, Taylor precoding algorithm can achieve the minimum transmitting power with a certain safety channel capacity. Based on the advantages and disadvantages of the two precoding algorithms in terms of computational complexity and optimization performance, we propose to combine the two precoding algorithms to obtain the optimal solution and greatly reduce the simulation time.","PeriodicalId":254491,"journal":{"name":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Secrecy Information Transmission Optimization of MIMO System\",\"authors\":\"Xue Xiaoqin, Meng Gang\",\"doi\":\"10.1109/CSQRWC.2019.8799343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the Semidefinite Relaxation (SDR) precoding technique and applies it into MIMO system to minimize the transmission power with a certain secrecy channel capacity. In this paper, the null space precoding algorithm and the Taylor precoding algorithm are introduced and compared. The simulation results demonstrate that in the MIMO eavesdropping model, Taylor precoding algorithm can achieve the minimum transmitting power with a certain safety channel capacity. Based on the advantages and disadvantages of the two precoding algorithms in terms of computational complexity and optimization performance, we propose to combine the two precoding algorithms to obtain the optimal solution and greatly reduce the simulation time.\",\"PeriodicalId\":254491,\"journal\":{\"name\":\"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSQRWC.2019.8799343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSQRWC.2019.8799343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secrecy Information Transmission Optimization of MIMO System
This paper studies the Semidefinite Relaxation (SDR) precoding technique and applies it into MIMO system to minimize the transmission power with a certain secrecy channel capacity. In this paper, the null space precoding algorithm and the Taylor precoding algorithm are introduced and compared. The simulation results demonstrate that in the MIMO eavesdropping model, Taylor precoding algorithm can achieve the minimum transmitting power with a certain safety channel capacity. Based on the advantages and disadvantages of the two precoding algorithms in terms of computational complexity and optimization performance, we propose to combine the two precoding algorithms to obtain the optimal solution and greatly reduce the simulation time.