JOURNAL ARTICLE

Linear transceiver design for full-duplex multi-user MIMO system

Abstract

We focus on a full-duplex multi-user MIMO system where the base station (BS) serves multiple uplink and downlink users simultaneously. Both the BS and the mobile stations (MSs) are equipped with multiple antennas. The performance of the system is limited by the self-interference at the base station and the interference caused by the uplink users on the downlink users. To address this issue, we propose to jointly design the beamformers of the BS and MSs. An optimization problem is formulated to maximize the weighted sum data rate subject to maximum power constraints. Although the problem is non-convex, it can be solved via iterative minimization of weighted sum mean square error (MSE), and a stationary point of the problem can be obtained. Strategies to choose uplink and downlink users and to determine initial point for the optimization problem are also proposed. Simulation results show that the weighted sum data rate achieved by full-duplex system is substantially higher than that achieved by baseline half-duplex systems.

Keywords:
Telecommunications link Base station MIMO Computer science Duplex (building) Transmitter power output Transceiver Optimization problem Convex optimization Minification Interference (communication) Multi-user MIMO Minimum mean square error Precoding Mathematical optimization Real-time computing Electronic engineering Computer network Transmitter Beamforming Telecommunications Mathematics Regular polygon Algorithm Engineering Wireless Statistics

Metrics

42
Cited By
4.81
FWCI (Field Weighted Citation Impact)
17
Refs
0.96
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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