{"title":"分布式天线系统中的大规模同步","authors":"Erik G. Larsson","doi":"arxiv-2401.11730","DOIUrl":null,"url":null,"abstract":"Distributed antennas must be phase-calibrated (phase-synchronized) for\ncertain operations, such as reciprocity-based joint coherent downlink\nbeamforming, to work. We use rigorous signal processing tools to analyze the\naccuracy of calibration protocols that are based on over-the-air measurements\nbetween antennas, with a focus on scalability aspects for large systems. We\nshow that (i) for some who-measures-on-whom topologies, the errors in the\ncalibration process are unbounded when the network grows; and (ii) despite that\nconclusion, it is optimal -- irrespective of the topology -- to solve a single\ncalibration problem for the entire system and use the result everywhere to\nsupport the beamforming. The analyses are exemplified by investigating specific\ntopologies, including lines, rings, and two-dimensional surfaces.","PeriodicalId":501433,"journal":{"name":"arXiv - CS - Information Theory","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Massive Synchrony in Distributed Antenna Systems\",\"authors\":\"Erik G. Larsson\",\"doi\":\"arxiv-2401.11730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distributed antennas must be phase-calibrated (phase-synchronized) for\\ncertain operations, such as reciprocity-based joint coherent downlink\\nbeamforming, to work. We use rigorous signal processing tools to analyze the\\naccuracy of calibration protocols that are based on over-the-air measurements\\nbetween antennas, with a focus on scalability aspects for large systems. We\\nshow that (i) for some who-measures-on-whom topologies, the errors in the\\ncalibration process are unbounded when the network grows; and (ii) despite that\\nconclusion, it is optimal -- irrespective of the topology -- to solve a single\\ncalibration problem for the entire system and use the result everywhere to\\nsupport the beamforming. The analyses are exemplified by investigating specific\\ntopologies, including lines, rings, and two-dimensional surfaces.\",\"PeriodicalId\":501433,\"journal\":{\"name\":\"arXiv - CS - Information Theory\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Information Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2401.11730\",\"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 - CS - Information Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2401.11730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed antennas must be phase-calibrated (phase-synchronized) for
certain operations, such as reciprocity-based joint coherent downlink
beamforming, to work. We use rigorous signal processing tools to analyze the
accuracy of calibration protocols that are based on over-the-air measurements
between antennas, with a focus on scalability aspects for large systems. We
show that (i) for some who-measures-on-whom topologies, the errors in the
calibration process are unbounded when the network grows; and (ii) despite that
conclusion, it is optimal -- irrespective of the topology -- to solve a single
calibration problem for the entire system and use the result everywhere to
support the beamforming. The analyses are exemplified by investigating specific
topologies, including lines, rings, and two-dimensional surfaces.