Optimizing Energy Efficiency with RSMA: Balancing Low and High QoS Requirements

TL;DR

This paper explores how rate-splitting multiple access (RSMA) can optimize energy efficiency in wireless systems by balancing QoS requirements and power consumption, introducing a novel user grouping method and private message removal strategy.

Contribution

It introduces a new user grouping metric and a private message removal technique to enhance energy efficiency in RSMA-based wireless systems.

Findings

Achieved up to 10% increase in network energy efficiency.

Demonstrated effective trade-off management between QoS and energy consumption.

Validated the proposed methods through numerical simulations.

Abstract

Future wireless systems are expected to deliver significantly higher quality-of-service (QoS) albeit with fewer energy resources for diverse, already existing and also novel wireless applications. The optimal resource allocation for a system in this regard could be investigated by reducing the overall power available at the expense of reduced QoS for the inefficient users. In other words, we maximize the system energy efficiency by achieving power saving through a minimal back-off in terms of QoS. In this paper, we investigate the energy efficiency vs. delivered QoS trade-off for the rate-splitting multiple access (RSMA) assisted downlink system. We first determine the user grouping with a normalised channel similarity metric so as to allow a large number of users with non-zero achievable private message rates. Through the private message removal (PMR) of these users, we aim to investigate the QoS vs. energy efficiency trade-off. Numerical results indicate a peak of ~$10\%$ increase in the network energy efficiency for the proposed normalised channel similarity metric based user grouping with scheduled PMR.