Work

CSI-Free Position Optimization for Movable Antenna Communication Systems: A Derivative-Free Optimization Approach

Year: 2024

Type: article

Abstract: Movable antenna (MA) is a new technology which leverages local movement of antennas to improve channel qualities and enhance the communication performance. Nevertheless, to fully realize the potential of MA systems, complete channel state information (CSI) between the transmitter-MA and the receiver-MA is required, which involves estimating a large number of channel parameters and incurs an excessive amount of training overhead. To address this challenge, in this letter, we propose a CSI-free MA position optimization method. The basic idea is to treat position optimization as a derivative-free problem involving an unknown objective function and calculate the gradient of the unknown objective function using zeroth-order (ZO) gradient approximation techniques. Simulation results show that the proposed ZO-based method, through adaptively adjusting the position of the MA, can achieve a favorable signal-to-noise-ratio (SNR) using a smaller number of position measurements than the CSI-based approach. Such a merit makes the proposed algorithm more adaptable to fast-changing propagation channels.

Source: IEEE Wireless Communications Letters

DOI: 10.1109/lwc.2024.3487022

Authors: Xianlong Zeng, Jun Fang, Bin Wang, Boyu Ning, Hongbin Li

Institutions: University of Electronic Science and Technology of China, Stevens Institute of Technology

Language: English

Topic: Advanced Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, National Natural Science Foundation of China