{"title":"毫米波大规模MIMO通信中信道估计的并行化算法","authors":"Jiyan Zhang, Yu Xue, Jiale Wang, Yuan Qi","doi":"10.1109/ICCC56324.2022.10065999","DOIUrl":null,"url":null,"abstract":"Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) technology is considered as a key feature for 5G and B5G systems because of its extensive spectrum resources. Accurately and timely estimating the channel state information (CSI) is critical for guaranteeing the effective signal transmission. In this paper, we propose an algorithm called Sparse Accelerated projection consensus (SAPC) to estimate the mmWave massive MIMO channel in a parallel computing way, which should be suitable for FPGA and ASIC implementations. Also, SAPC takes into account the sparsity of the channel to reduce the complexity.","PeriodicalId":263098,"journal":{"name":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Parallelized Algorithm for Channel Estimation in mmWave Massive MIMO Communications\",\"authors\":\"Jiyan Zhang, Yu Xue, Jiale Wang, Yuan Qi\",\"doi\":\"10.1109/ICCC56324.2022.10065999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) technology is considered as a key feature for 5G and B5G systems because of its extensive spectrum resources. Accurately and timely estimating the channel state information (CSI) is critical for guaranteeing the effective signal transmission. In this paper, we propose an algorithm called Sparse Accelerated projection consensus (SAPC) to estimate the mmWave massive MIMO channel in a parallel computing way, which should be suitable for FPGA and ASIC implementations. Also, SAPC takes into account the sparsity of the channel to reduce the complexity.\",\"PeriodicalId\":263098,\"journal\":{\"name\":\"2022 IEEE 8th International Conference on Computer and Communications (ICCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 8th International Conference on Computer and Communications (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCC56324.2022.10065999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC56324.2022.10065999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Parallelized Algorithm for Channel Estimation in mmWave Massive MIMO Communications
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) technology is considered as a key feature for 5G and B5G systems because of its extensive spectrum resources. Accurately and timely estimating the channel state information (CSI) is critical for guaranteeing the effective signal transmission. In this paper, we propose an algorithm called Sparse Accelerated projection consensus (SAPC) to estimate the mmWave massive MIMO channel in a parallel computing way, which should be suitable for FPGA and ASIC implementations. Also, SAPC takes into account the sparsity of the channel to reduce the complexity.
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