Joint Antenna Array Mode Selection and User Assignment for Full-Duplex MU-MISO Systems

• Published in: IEEE transactions on wireless communications 2019-06, Vol.18 (6), p.2946-2963
• Main Authors: Nguyen, Hieu V., Nguyen, Van-Dinh, Dobre, Octavia A., Wu, Yongpeng, Shin, Oh-Soon
• Format: Article
• Language: English
• Subjects: Algorithms; Antenna arrays; Antennas; Cochannel interference; Computer simulation; Convergence; Design optimization; Full-duplex radios; Interference; MISO (control systems); Modal choice; multiuser transmission; non-convex programming; Optimization; Quality of service; robust design; self-interference; spectral efficiency; transmit beamforming; Transmitting antennas; user assignment; Wireless communication; Wireless networks
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2019.2907489

This paper considers a full-duplex (FD) multiuser multiple-input single-output system where a base station simultaneously serves both uplink (UL) and downlink (DL) users on the same time-frequency resource. The crucial barriers in implementing FD systems reside in the residual self-interference and co-channel interference. To accelerate the use of FD radio in future wireless networks, we aim at managing the network interference more effectively by jointly designing the selection of half-array antenna modes (in the transmit or receive mode) at the base station with time phases and user assignments. The first problem of interest is to maximize the overall sum rate subject to quality-of-service requirements, which is formulated as a highly non-concave utility function followed by non-convex constraints. To address the design problem, we propose an iterative low-complexity algorithm by developing new inner approximations, and its convergence to a stationary point is guaranteed. To provide more insights into the solution of the proposed design, a general max-min rate optimization is further considered to maximize the minimum per-user rate while satisfying a given ratio between UL and DL rates. Furthermore, a robust algorithm is devised to verify that the proposed scheme works well under channel uncertainty. The simulation results demonstrate that the proposed algorithms exhibit fast convergence and substantially outperform existing schemes.