Rate Splitting for Multi-group Multicasting with a Common Message

TL;DR

This paper proposes a rate-splitting approach for multi-group multicasting with a common message, improving fairness and performance in overloaded systems by dividing messages into private and common parts.

Contribution

It introduces a novel rate-splitting scheme that combines private and common message parts into a super common message for enhanced multicasting performance.

Findings

RS achieves significant fairness gains in overloaded systems.

The proposed method outperforms traditional schemes in simulations.

Super common message approach improves multicast efficiency.

Abstract

In this letter, precoding for max-min fairness (MMF) for multi-group multicasting with a common message is studied. The MMF problem is converted into a weighted mean square error minimization problem. A rate-splitting solution is proposed. In rate-splitting, multicast messages for each group are divided into private and common parts, and these common parts, together with the original common message are combined as a \emph{super common} message. This super common message is superposed on or concatenated to the private multicast data vector, or it is transmitted via a mixed scheme. Simulations show that RS demonstrates significant gains especially in overloaded systems.