Reflecting Intelligent Surfaces Assisted High-Rank Ultra Massive MIMO Terahertz Channels

被引：2

作者：

Sheemar, Chandan Kumar ^{[1
]}

Solanki, Sourabh ^{[1
]}

Khan, Wali Ullah ^{[1
]}

Abdullah, Zaid ^{[1
]}

Lagunas, Eva ^{[1
]}

Chatzinotas, Symeon ^{[1
]}

机构：

[1] Univ Luxembourg, SnT, Luxembourg, Luxembourg

来源：

2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024 | 2024年

基金：

英国科研创新办公室;

关键词：

THz communications; reflecting intelligent surfaces; high rank; ultra massive MIMO; SYSTEMS;

D O I：

10.1109/WCNC57260.2024.10571260

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Reflective Intelligent Surface (RIS)-assisted Ultra-Massive MIMO (Um-MIMO) systems in the terahertz (THz) spectrum are gaining attention for surpassing current wireless system limitations. However, limited diffraction at these frequencies typically results in low-rank Um-MIMO channels, completely reducing the potential for spatial multiplexing gains. In this work, we aim at promoting a new research direction towards the strategies for achieving high-rank Um-MIMO for RIS-assisted THz communications. The maximum achievable spatial multiplexing gain over the RIS-assisted channel is analyzed, and the optimal antennas and RIS elements placement strategy is proposed for achieving extremely high-rank Um-MIMO channels. Simulation results demonstrate that while conventional Um-MIMO THz systems display low-rank, the proposed approach enables achieving a rank on the order of hundreds for the Um-MIMO THz systems.

引用

页数：6

共 19 条

[1]

Bohagen F, 2007, IEEE T WIREL COMMUN, V6, P1420, DOI 10.1109/TWC.2007.05548

[2] Terahertz Line-of-Sight MIMO Communication: Theory and Practical Challenges [J].