Paper published on a website (Scientific congresses, symposiums and conference proceedings)
Reflecting Intelligent Surfaces Assisted High-Rank Ultra Massive MIMO Terahertz Channels
SHEEMAR, Chandan Kumar; KHAN, Wali Ullah; ABDULLAH, Zaid et al.
20242024 IEEE Wireless Communications and Networking Conference (WCNC)
Peer reviewed Dataset
 

Files


Full Text
RankTHZ.pdf
Publisher postprint (1.07 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
high rank; reflecting intelligent surfaces; THz communications; ultra massive MIMO; 'current; High rank; MIMO channel; Reflecting intelligent surface; Spatial multiplexing gain; Tera Hertz; Terahertz communication; Terahertz spectrum; Terahertz systems; Ultra massive MIMO; Engineering (all)
Abstract :
[en] 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 frequen-cies 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.
Disciplines :
Computer science
Author, co-author :
SHEEMAR, Chandan Kumar ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
KHAN, Wali Ullah  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
ABDULLAH, Zaid ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
LAGUNAS, Eva  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
SOLANKI, Sourabh  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SigCom > Team Symeon CHATZINOTAS ; National Institute of Technology Warangal, India > Department of Electronics and Communication Engineering > Assistant Professor
External co-authors :
yes
Language :
English
Title :
Reflecting Intelligent Surfaces Assisted High-Rank Ultra Massive MIMO Terahertz Channels
Original title :
[en] Reflecting Intelligent Surfaces Assisted High-Rank Ultra Massive MIMO Terahertz Channels
Publication date :
03 July 2024
Event name :
2024 IEEE Wireless Communications and Networking Conference (WCNC)
Event place :
Dubai, Are
Event date :
21-04-2024 => 24-04-2024
By request :
Yes
Audience :
International
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Funders :
UK Research and Innovation (UKRI)
Funding text :
This work was supported by the Smart Networks and Services Joint Undertaking (SNS JU) project TERRAMETA under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101097101, including top-up funding by UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee.
Available on ORBilu :
since 11 December 2024

Statistics


Number of views
119 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
2
Scopus citations®
without self-citations
1
OpenCitations
 
0
OpenAlex citations
 
3

Bibliography


Similar publications



Contact ORBilu