{"title":"论基于 DMA 系统的比特误差概率","authors":"Nemanja Stefan Perović","doi":"arxiv-2409.10112","DOIUrl":null,"url":null,"abstract":"Dynamic metasurface antennas (DMAs) are an alternative application of\nmetasurfaces as active reconfigurable antennas with advanced analog signal\nprocessing and beamforming capabilities, which have been proposed to replace\nconventional antenna arrays for next generation transceivers. Motivated by\nthis, we investigate the bit error probability (BEP) optimization in a\nDMA-based system, propose an iterative optimization algorithm, which adjusts\nthe transmit precoder and the weights of the DMA elements, prove its\nconvergence and derive complexity.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Bit Error Probability of DMA-Based Systems\",\"authors\":\"Nemanja Stefan Perović\",\"doi\":\"arxiv-2409.10112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic metasurface antennas (DMAs) are an alternative application of\\nmetasurfaces as active reconfigurable antennas with advanced analog signal\\nprocessing and beamforming capabilities, which have been proposed to replace\\nconventional antenna arrays for next generation transceivers. Motivated by\\nthis, we investigate the bit error probability (BEP) optimization in a\\nDMA-based system, propose an iterative optimization algorithm, which adjusts\\nthe transmit precoder and the weights of the DMA elements, prove its\\nconvergence and derive complexity.\",\"PeriodicalId\":501034,\"journal\":{\"name\":\"arXiv - EE - Signal Processing\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - EE - Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic metasurface antennas (DMAs) are an alternative application of
metasurfaces as active reconfigurable antennas with advanced analog signal
processing and beamforming capabilities, which have been proposed to replace
conventional antenna arrays for next generation transceivers. Motivated by
this, we investigate the bit error probability (BEP) optimization in a
DMA-based system, propose an iterative optimization algorithm, which adjusts
the transmit precoder and the weights of the DMA elements, prove its
convergence and derive complexity.