Hybrid Spherical- and Planar-Wave Channel Modeling and Estimation for Terahertz Integrated UM-MIMO and IRS Systems

被引:25
作者
Chen, Yuhang [1 ]
Li, Renwang [2 ]
Han, Chong [1 ,3 ]
Sun, Shu [2 ,4 ]
Tao, Meixia [2 ]
机构
[1] Shanghai Jiao Tong Univ, Terahertz Wireless Commun TWC Lab, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Cooperat Medianet Innovat Ctr CMIC, Shanghai 200240, Peoples R China
[4] Shanghai Key Lab Digital Media Proc & Transmiss, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Terahertz integrated ultra-massive multiple-input-multiple-output (UM-MIMO) and intelligent reflecting surface (IRS) systems; channel modeling; spatial multiplexing gain; channel estimation; LARGE INTELLIGENT SURFACES; MILLIMETER-WAVE; WIRELESS COMMUNICATIONS; COMMUNICATION; CHALLENGES; FRAMEWORK; DESIGN;
D O I
10.1109/TWC.2023.3273221
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Integrated ultra-massive multiple-input multiple-output (UM-MIMO) and intelligent reflecting surface (IRS) systems are promising for 6G and beyond Terahertz (0.1-10 THz) communications, to effectively bypass the barriers of limited coverage and line-of-sight blockage. However, excessive dimensions of UM-MIMO and IRS enlarge the near-field region, while strong THz channel sparsity in the far-field is detrimental to spatial multiplexing. Moreover, channel estimation (CE) requires recovering the large-scale channel from severely compressed observations due to limited RF-chains. To tackle these challenges, a hybrid spherical- and planar-wave channel model (HSPM) is introduced for the cascaded channel of the integrated system. The spatial multiplexing gains under near-field and far-field regions are analyzed, which are found to be limited by the segmented channel with a lower rank. Furthermore, a compressive sensing-based CE framework is developed, including a sparse channel representation method, a separate-side estimation (SSE) and a dictionary-shrinkage estimation (DSE) algorithms. Numerical results verify the effectiveness of the HSPM, the capacity of which is only 5 x 10(-4) bits/s/Hz deviated from that obtained by the ground-truth spherical-wave-model, with 256 elements. While the SSE achieves improved accuracy for CE than benchmark algorithms, the DSE is more attractive in noisy environments, with 1 dB lower normalized-mean-square error than SSE.
引用
收藏
页码:9746 / 9761
页数:16
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