TY - GEN
T1 - A NOMA-enabled Hybrid RIS-UAV-aided Full-Duplex Communication System
AU - Singh, Sandeep Kumar
AU - Agrawal, Kamal
AU - Singh, Keshav
AU - Li, Chih Peng
AU - Ding, Zhiguo
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology of Taiwan under Grants MOST 110-2224-E-110-001 & MOST 109-2221-E-110-050-MY3.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we investigate non-orthogonal multiple access (NOMA) enabled multiuser wireless communication network which uses a hybrid aerial full-duplex (FD) transmission consisting of a reconfigurable intelligent surface (RIS) mounted over an FD unmanned aerial vehicle (UAV) relay to assist the information transfer from the base station to all GUs simultaneously. We consider three different transmission modes: 1) FD-UAV-aided transmission, 2) RIS-aided transmission, and 3) joint RIS-FD-UAV transmission. Firstly, the joint passive beamforming (i.e., passive phase shift matrix) and position optimization problem is formulated to maximize the considered network's achievable sum rate. Due to the coupling of optimization variables, the optimization problem becomes non-convex. Therefore, we utilize the block coordinate descent method to split the optimization problem into two sub-problems. We then use the Riemannian conjugate gradient (RCG) method and propose an algorithm to determine the optimal passive beamforming. Next, an iterative algorithm is proposed to obtain the optimal RIS/UAV coordinates. Finally, using both RCG and iterative algorithms, we jointly optimize the passive beamforming of RIS and the position of RIS/UAV. The effectiveness of the proposed algorithms is verified through extensive computer simulations.
AB - In this paper, we investigate non-orthogonal multiple access (NOMA) enabled multiuser wireless communication network which uses a hybrid aerial full-duplex (FD) transmission consisting of a reconfigurable intelligent surface (RIS) mounted over an FD unmanned aerial vehicle (UAV) relay to assist the information transfer from the base station to all GUs simultaneously. We consider three different transmission modes: 1) FD-UAV-aided transmission, 2) RIS-aided transmission, and 3) joint RIS-FD-UAV transmission. Firstly, the joint passive beamforming (i.e., passive phase shift matrix) and position optimization problem is formulated to maximize the considered network's achievable sum rate. Due to the coupling of optimization variables, the optimization problem becomes non-convex. Therefore, we utilize the block coordinate descent method to split the optimization problem into two sub-problems. We then use the Riemannian conjugate gradient (RCG) method and propose an algorithm to determine the optimal passive beamforming. Next, an iterative algorithm is proposed to obtain the optimal RIS/UAV coordinates. Finally, using both RCG and iterative algorithms, we jointly optimize the passive beamforming of RIS and the position of RIS/UAV. The effectiveness of the proposed algorithms is verified through extensive computer simulations.
KW - Full-duplex (FD)
KW - non-orthogonal multiple access (NOMA)
KW - passive beamforming
KW - reconfigurable intelligent surface (RIS)
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=85134658385&partnerID=8YFLogxK
U2 - 10.1109/EuCNC/6GSummit54941.2022.9815776
DO - 10.1109/EuCNC/6GSummit54941.2022.9815776
M3 - Conference contribution
AN - SCOPUS:85134658385
T3 - 2022 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2022
SP - 529
EP - 534
BT - 2022 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2022
Y2 - 7 June 2022 through 10 June 2022
ER -