Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems

TL;DR

This paper introduces a flexible beamforming design for MISO NOMA systems that balances sum rate and fairness through a multi-objective optimization approach, improving performance over traditional methods.

Contribution

It presents a novel multi-objective beamforming technique that allows adjustable trade-offs between sum rate and fairness in MISO NOMA systems.

Findings

The proposed method effectively balances sum rate and fairness.

Simulation results outperform conventional rate-aware beamforming.

The approach adapts to different network requirements and channel conditions.

Abstract

In this paper, we propose a beamforming design that jointly considers two conflicting performance metrics, namely the sum rate and fairness, for a multiple-input single-output non-orthogonal multiple access system. Unlike the conventional rate-aware beamforming designs, the proposed approach has the flexibility to assign different weights to the objectives (i.e., sum rate and fairness) according to the network requirements and the channel conditions. In particular, the proposed design is first formulated as a multi-objective optimization problem, and subsequently mapped to a single objective optimization (SOO) problem by exploiting the weighted sum approach combined with a prior articulation method. As the resulting SOO problem is non-convex, we use the sequential convex approximation technique, which introduces multiple slack variables, to solve the overall problem. Simulation results are provided to demonstrate the performance and the effectiveness of the proposed approach along with detailed comparisons with conventional rate-aware-based beamforming designs.

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