Utility-Based Precoding Optimization Framework for Large Intelligent Surfaces

TL;DR

This paper proposes a framework for optimizing precoding in large intelligent surfaces, enhancing spectral efficiency by analyzing beam properties and power control for dense antenna deployments.

Contribution

It introduces a novel optimization framework for precoding in large intelligent surfaces, extending MIMO concepts to new topologies with dense antenna grids.

Findings

Optimized transmit power improves utility-based spectral efficiency.

Different precoding schemes are compared for large intelligent surfaces.

Beamwidth and sidelobe characteristics are analyzed for dense antenna arrays.

Abstract

The spectral efficiency of wireless networks can be made nearly infinitely large by deploying many antennas, but the deployment of very many antennas requires new topologies beyond the compact and discrete antenna arrays used by conventional base stations. In this paper, we consider the large intelligent surface scenario where small antennas are deployed on a large and dense two-dimensional grid. Building on the heritage of MIMO, we first analyze the beamwidth and sidelobes when transmitting from large intelligent surfaces. We compare different precoding schemes and determine how to optimize the transmit power with respect to different utility functions.