首页|Near-field channel estimation for extremely large-scale Terahertz communications

Near-field channel estimation for extremely large-scale Terahertz communications

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Future Terahertz communications exhibit significant potential in accommodating ultra-high-rate services.Employing extremely large-scale array antennas is a key approach to realize this potential,as they can harness substantial beamforming gains to overcome the severe path loss and leverage the electromagnetic advantages in the near field.This paper proposes novel estimation methods designed to enhance efficiency in Terahertz widely-spaced multi-subarray(WSMS)systems.Initially,we introduce three sparse channel representation methods:polar-domain representation(PD-R),multi-angular-domain representation(MAD-R),and two-dimensional polar-angular-domain representation(2D-PAD-R).Each method is meticulously developed for near-field WSMS channels,capitalizing on their sparsity characteristics.Building on this,we propose four estimation frameworks using the sparse recovery theory:polar-domain estimation(PD-E),multi-angular-domain estimation(MAD-E),two-stage polar-angular-domain estimation(TS-PAD-E),and two-dimensional polar-angular-domain estimation(2D-PAD-E).Particularly,2D-PAD-E,integrating a 2D dictionary process,and TS-PAD-E,with its sequential approach to angle and distance estimation,stand out as particularly effective for near-field angle-distance estimation,enabling decoupled calculation of these parameters.Overall,these frameworks provide versatile and efficient solutions for WSMS channel estimation,balancing low complexity with high-performance outcomes.Additionally,they represent a fresh perspective on near-field signal processing.

Terahertz communicationsnear fieldchannel estimationwidely-spaced multi-subarraysparse recovery

Songjie YANG、Yizhou PENG、Wanting LYU、Ya LI、Hongjun HE、Zhongpei ZHANG、Chau YUEN

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National Key Laboratory of Wireless Communications,University of Electronic Science and Technology of China,Chengdu 611731,China

Future Research Laboratory,China Mobile Research Institute,Beijing 100006,China

School of Electrical and Electronics Engineering,Nanyang Technological University,Singapore 487372,Singapore

Key R&D Program of Zhejiang

Z24JX007

2024

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
年,卷(期):2024.67(9)