TY - GEN
T1 - Channel Capacity Based on Near Field Ultra Large-scale MIMO
AU - Rong, Guozhi
AU - Yao, Rugui
AU - He, Yifeng
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Antenna Array Design
KW - Channel Capacity Analysis
KW - Channel Estimation
KW - Channel Modeling
KW - Near Field Ultra Large-scale MIMO
UR - http://www.scopus.com/inward/record.url?scp=85217408686&partnerID=8YFLogxK
U2 - 10.1109/ICCASIT62299.2024.10828128
DO - 10.1109/ICCASIT62299.2024.10828128
M3 - 会议稿件
AN - SCOPUS:85217408686
T3 - Proceedings of 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
SP - 801
EP - 805
BT - Proceedings of 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
A2 - Sun, Huabo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024
Y2 - 23 October 2024 through 25 October 2024
ER -