Analog Beamforming Enabled Multicasting: Finite-Alphabet Inputs and Statistical CSI

TL;DR

This paper analyzes the average multicast rate in analog beamforming systems with finite-alphabet inputs and statistical CSI, deriving new expressions and proposing algorithms to optimize array gain and improve performance.

Contribution

It introduces new analytical expressions for AMR with finite-alphabet inputs and statistical CSI, along with beamforming algorithms to maximize array gain.

Findings

Derived expressions for AMR in various multicasting scenarios.

Asymptotic analysis reveals array gain and diversity order impacts.

Proposed beamforming algorithms improve multicast rate performance.

Abstract

The average multicast rate (AMR) is analyzed in a multicast channel utilizing analog beamforming with finite-alphabet inputs, considering statistical channel state information (CSI). New expressions for the AMR are derived for non-cooperative and cooperative multicasting scenarios. Asymptotic analyses are conducted in the high signal-to-noise ratio regime to derive the array gain and diversity order. It is proved that the analog beamformer influences the AMR through its array gain, leading to the proposal of efficient beamforming algorithms aimed at maximizing the array gain to enhance the AMR.