TY - GEN
T1 - Joint Transmit Beamforming and Antenna Selection Design for MISO-NOMA Systems Based on Improper Gaussian Signaling
AU - Chiu, Hao Tse
AU - Maehara, Fumiaki
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, we consider the joint antenna selection (AS) and beamforming (BF) vector design problem for a downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) system considering improper Gaussian signaling (IGS). We formulate an optimization problem concerned about the max-min rate between users with hardware constraints such as the total power constraint (TPC), per-antenna power constraint (PAPC), and the number of activated antennas along with the conditions for successful successive interference cancellation (SIC) that are proved in existing works. To deal with the log-determinant objective function and binary optimization, we propose a solution that combines successive concave quadratic programming (SCQP) and the exact penalty approach to obtain suboptimal results by iterations. As shown in simulation results, IGS can prevail over its proper Gaussian signaling (PGS) counterpart in terms of achievable sum rate (ASR) particularly in high transmit signal-to-noise ratio (SNR) scenarios.
AB - In this paper, we consider the joint antenna selection (AS) and beamforming (BF) vector design problem for a downlink two-user power-domain non-orthogonal multiple access (PD-NOMA) system considering improper Gaussian signaling (IGS). We formulate an optimization problem concerned about the max-min rate between users with hardware constraints such as the total power constraint (TPC), per-antenna power constraint (PAPC), and the number of activated antennas along with the conditions for successful successive interference cancellation (SIC) that are proved in existing works. To deal with the log-determinant objective function and binary optimization, we propose a solution that combines successive concave quadratic programming (SCQP) and the exact penalty approach to obtain suboptimal results by iterations. As shown in simulation results, IGS can prevail over its proper Gaussian signaling (PGS) counterpart in terms of achievable sum rate (ASR) particularly in high transmit signal-to-noise ratio (SNR) scenarios.
KW - MISO-NOMA
KW - antenna selection
KW - beamforming design
KW - improper Gaussian signaling
KW - max-min rate optimization
UR - http://www.scopus.com/inward/record.url?scp=85123008410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123008410&partnerID=8YFLogxK
U2 - 10.1109/VTC2021-Fall52928.2021.9625425
DO - 10.1109/VTC2021-Fall52928.2021.9625425
M3 - Conference contribution
AN - SCOPUS:85123008410
T3 - IEEE Vehicular Technology Conference
BT - 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Y2 - 27 September 2021 through 30 September 2021
ER -