Environment Division Multiple Access (EDMA): A Feasibility Study via Pinching Antennas

TL;DR

This paper introduces EDMA, a novel multiple access technique that uses pinching antennas to reconfigure wireless environments, enhancing signal quality and reducing interference without complex signal processing.

Contribution

It proposes a new environment-based multiple access method using pinching antennas, with analytical and algorithmic solutions for optimal antenna placement.

Findings

EDMA achieves significant sum-rate gains over conventional methods.

Closed-form expressions for ergodic sum-rate improvements are derived.

Low-complexity algorithms effectively optimize antenna placement.

Abstract

This paper exploits the dynamic features of wireless propagation environments as the basis for a new multiple access technique, termed environment division multiple access (EDMA). In particular, with the proposed pinching-antenna-assisted EDMA, the multi-user propagation environment is intelligently reconfigured to improve signal strength at intended receivers and simultaneously suppress multiple-access interference, without requiring complex signal processing, e.g., precoding, beamforming, or multi-user detection. The key to creating a favorable propagation environment is to utilize the capability of pinching antennas to reconfigure line-of-sight (LoS) links, e.g., pinching antennas are placed at specific locations, such that interference links are blocked on purpose. Based on a straightforward choice of pinching-antenna locations, the ergodic sum-rate gain of EDMA over conventional multiple access and the probability that EDMA achieves a larger instantaneous sum rate than the considered benchmarking scheme are derived in closed form. The obtained analytical results demonstrate the significant potential of EDMA for supporting multi-user communications. Furthermore, pinching antenna location optimization is also investigated, since the locations of pinching antennas are critical for reconfiguring LoS links and large-scale path losses. Two low-complexity algorithms are developed for uplink and downlink transmission, respectively, and simulation results are provided to show their optimality in comparison to exhaustive searches.