Joint user clustering and passive beamforming for downlink NOMA system with reconfigurable intelligent surface

TY - CHAP

T1 - Joint user clustering and passive beamforming for downlink NOMA system with reconfigurable intelligent surface

AU - Zhang, Minghui

AU - Chen, Ming

AU - Yang, Zhaohui

AU - Asgari, Hamid

AU - Shikh-Bahaei, Mohammad

PY - 2020/8

Y1 - 2020/8

N2 - Reconfigurable intelligent surface (RIS) is an emerging technology to achieve energy-efficient wireless communication. This technology has the potential of turning the wireless environment, which is highly probabilistic in nature, into a programmable and partially deterministic space. This paper focuses on the joint user clustering, passive beamforming and power allocation for the downlink RIS-assisted nonorthogonal-multiple-access (NOMA) system, with the target of maximizing energy efficiency. This is an optimization problem which is solved by optimizing three sub-problems iteratively. In particular, user clustering sub-problem is solved with a matching algorithm, power allocation sub-problem is solved with the difference of two convex functions (DC) programming, and passive beamforming sub-problem is solved with univariate search technique. Simulation results demonstrate that the downlink RIS-assisted NOMA system can improve the energy efficiency by 7.8%-23.1%, compared with NOMA system without RIS and traditional orthogonal-multiple-access (OMA) system without RIS.

AB - Reconfigurable intelligent surface (RIS) is an emerging technology to achieve energy-efficient wireless communication. This technology has the potential of turning the wireless environment, which is highly probabilistic in nature, into a programmable and partially deterministic space. This paper focuses on the joint user clustering, passive beamforming and power allocation for the downlink RIS-assisted nonorthogonal-multiple-access (NOMA) system, with the target of maximizing energy efficiency. This is an optimization problem which is solved by optimizing three sub-problems iteratively. In particular, user clustering sub-problem is solved with a matching algorithm, power allocation sub-problem is solved with the difference of two convex functions (DC) programming, and passive beamforming sub-problem is solved with univariate search technique. Simulation results demonstrate that the downlink RIS-assisted NOMA system can improve the energy efficiency by 7.8%-23.1%, compared with NOMA system without RIS and traditional orthogonal-multiple-access (OMA) system without RIS.

KW - Energy efficiency

KW - NOMA

KW - Passive beamforming

KW - RIS

KW - User clustering

UR - http://www.scopus.com/inward/record.url?scp=85094144266&partnerID=8YFLogxK

U2 - 10.1109/PIMRC48278.2020.9217212

DO - 10.1109/PIMRC48278.2020.9217212

M3 - Conference paper

AN - SCOPUS:85094144266

T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

BT - 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020

Y2 - 31 August 2020 through 3 September 2020

ER -