TY - JOUR
T1 - Terahertz-Band Ultra-Massive Spatial Modulation MIMO
AU - Sarieddeen, Hadi
AU - Alouini, Mohamed Slim
AU - Al-Naffouri, Tareq Y.
N1 - Funding Information:
Manuscript received December 2, 2018; revised April 27, 2019; accepted June 22, 2019. Date of publication July 17, 2019; date of current version August 19, 2019. This work was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research. (Corresponding author: Hadi Sarieddeen.) The authors are with the Department of Computer, Electrical and Mathematical Sciences and Engineering (CEMSE), King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia (e-mail: hadi.sarieddeen@ kaust.edu.sa; [email protected]; [email protected]).
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - The prospect of ultra-massive multiple-input multiple-output (UM-MIMO) technology to combat the distance problem at the Terahertz (THz) band is considered. It is well-known that the very large available bandwidths at THz frequencies come at the cost of severe propagation losses and power limitations, which result in very short communication distances. Recently, graphene-based plasmonic nano-antenna arrays that can accommodate hundreds of antenna elements in a few millimeters have been proposed. While such arrays enable efficient beamforming that can increase the communication range, they fail to provide sufficient spatial degrees of freedom for spatial multiplexing. In this paper, we examine spatial modulation (SM) techniques that can leverage the properties of densely packed configurable arrays of subarrays of nano-antennas, to increase capacity and spectral efficiency, while maintaining acceptable beamforming performance. Depending on the communication distance and the frequency of operation, a specific SM configuration that ensures good channel conditions is recommended. We analyze the performance of the proposed schemes theoretically and numerically in terms of symbol and bit error rates, where significant gains are observed compared to conventional SM. We demonstrate that SM at very high frequencies is a feasible paradigm, and we motivate several extensions that can make THz-band SM a future research trend.
AB - The prospect of ultra-massive multiple-input multiple-output (UM-MIMO) technology to combat the distance problem at the Terahertz (THz) band is considered. It is well-known that the very large available bandwidths at THz frequencies come at the cost of severe propagation losses and power limitations, which result in very short communication distances. Recently, graphene-based plasmonic nano-antenna arrays that can accommodate hundreds of antenna elements in a few millimeters have been proposed. While such arrays enable efficient beamforming that can increase the communication range, they fail to provide sufficient spatial degrees of freedom for spatial multiplexing. In this paper, we examine spatial modulation (SM) techniques that can leverage the properties of densely packed configurable arrays of subarrays of nano-antennas, to increase capacity and spectral efficiency, while maintaining acceptable beamforming performance. Depending on the communication distance and the frequency of operation, a specific SM configuration that ensures good channel conditions is recommended. We analyze the performance of the proposed schemes theoretically and numerically in terms of symbol and bit error rates, where significant gains are observed compared to conventional SM. We demonstrate that SM at very high frequencies is a feasible paradigm, and we motivate several extensions that can make THz-band SM a future research trend.
KW - arrays-of-subarrays
KW - graphene
KW - spatial modulation
KW - THz communications
KW - ultra-massive MIMO
UR - http://www.scopus.com/inward/record.url?scp=85069928713&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2019.2929455
DO - 10.1109/JSAC.2019.2929455
M3 - Article
AN - SCOPUS:85069928713
SN - 0733-8716
VL - 37
SP - 2040
EP - 2052
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 9
M1 - 8765243
ER -