Sum-Rate Maximization for Movable Antenna Enabled Multiuser Communications

TL;DR

This paper introduces a multiuser communication system with movable antennas, optimizing their positions and transmit beamforming to maximize downlink sum-rate, demonstrating superior performance over fixed-position antennas through efficient algorithms.

Contribution

It presents a novel joint optimization framework for antenna positioning and beamforming in multiuser systems with movable antennas, including a low-complexity zero-forcing approach.

Findings

Proposed algorithms significantly improve sum-rate performance.

Movable antennas outperform fixed-position antennas in simulations.

Efficient optimization methods balance performance and complexity.

Abstract

A novel multiuser communication system with movable antennas (MAs) is proposed, where the antenna position optimization is exploited to enhance the downlink sum-rate. The joint optimization of the transmit beamforming vector and transmit MA positions is studied for a multiuser multiple-input single-input system. An efficient algorithm is proposed to tackle the formulated non-convex problem via capitalizing on fractional programming, alternating optimization, and gradient descent methods. To strike a better performance-complexity trade-off, a zero-forcing beamforming-based design is also proposed as an alternative. Numerical investigations are presented to verify the efficiency of the proposed algorithms and their superior performance compared with the benchmark relying on conventional fixed-position antennas (FPAs).