Near-Field Communication with Massive Movable Antennas: A Functional Perspective
Shicong Liu, Xianghao Yu, Jie Xu, Rui Zhang

TL;DR
This paper develops a novel framework for optimizing antenna placement in near-field massive MIMO systems, using functional analysis to maximize data rates with movable antennas.
Contribution
It introduces a continuous antenna position and density function approach, deriving optimal configurations and proposing practical deployment strategies for near-field MIMO.
Findings
Optimal antenna density distribution enhances achievable rate.
Closed-form solution for LoS near-field scenarios highlights edge antenna importance.
Uniform circular arrays offer a good balance between performance and practicality.
Abstract
The advent of massive multiple-input multiple-output (MIMO) technology has provided new opportunities for capacity improvement via strategic antenna deployment, especially when the near-field effect is pronounced due to antenna proliferation. In this paper, we investigate the optimal antenna placement for maximizing the achievable rate of a point-to-point near-field channel, where the transmitter is deployed with massive movable antennas. First, we propose a novel design framework to explore the relationship between antenna positions and achievable data rate. By introducing the continuous antenna position function (APF) and antenna density function (ADF), we reformulate the antenna position design problem from the discrete to the continuous domain, which maximizes the achievable rate functional with respect to ADF. Leveraging functional analysis and variational methods, we derive the…
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