A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems

TL;DR

This paper introduces PARGA, a genetic algorithm-based method for optimizing power allocation in RSMA systems, significantly improving user sum-rate performance over existing techniques.

Contribution

The paper presents a novel genetic algorithm approach for power allocation in RSMA systems, enhancing sum-rate optimization.

Findings

PARGA outperforms existing methods in simulations.

Significant increase in user sum-rate achieved.

Efficient power distribution between common and private streams.

Abstract

We consider the problem of power allocation in Rate-Splitting Multiple Access (RSMA) systems, where messages are split into common and private messages. The common and private streams are jointly transmitted to allow efficient use of the bandwidth, and decoded by Successive Interference Cancellation (SIC) at the receiver. However, the power allocation between streams significantly affects the overall performance. In this letter, we address this problem. We develop a novel algorithm, dubbed Power Allocation in RSMA systems using Genetic Algorithm (PARGA), to allocate the power between streams in RSMA systems in order to maximize the user sum-rate. Simulation results demonstrate the high efficiency of PARGA compared to existing methods.