Channel Capacity Based on Near Field Ultra Large-scale MIMO

Guozhi Rong, Rugui Yao, Yifeng He

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the increasing development of wireless communication technology, near field ultra large-scale MIMO (Multiple-Input Multiple-Output) technology is becoming more and more critical in improving channel capacity. Traditional MIMO has problems such as insufficient channel capacity and signal-to-noise ratio. In this article, the SWOMP (Stagewise Weak Orthogonal Matching Pursuit) algorithm was used to precisely obtain near field channel state information, and the XL-MIMO (Extremely Large-scale MIMO) near field communication model was constructed through uplink time division duplex. The antenna array was designed in combination with the frequency modulation mode to achieve accurate channel capacity estimation. Empirical evidence showed that compared with traditional algorithms, the channel capacity of this method could reach 1614.11 bit / s / Hz at a distance of 1 0 meters, and the signal-to-noise ratio could reach 9.41 dB, which effectively improves communication performance and is of great significance to the development of communication systems.

源语言英语
主期刊名Proceedings of 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
编辑Huabo Sun
出版商Institute of Electrical and Electronics Engineers Inc.
801-805
页数5
ISBN(电子版)9798350389418
DOI
出版状态已出版 - 2024
活动6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024 - Hangzhou, 中国
期限: 23 10月 202425 10月 2024

出版系列

姓名Proceedings of 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

会议

会议6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
国家/地区中国
Hangzhou
时期23/10/2425/10/24

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