NOMA Systems Optimization to Ensure Maximum Fairness to Users

TL;DR

This paper develops an optimization framework for power allocation in downlink NOMA systems to maximize fairness, energy efficiency, and system performance, providing tradeoff insights for resource management.

Contribution

It introduces a novel optimization approach for power distribution in NOMA systems that balances fairness, energy efficiency, and total power consumption.

Findings

Optimal power proportions for fairness and energy efficiency identified.

Maximum energy efficiency points and tradeoffs with sum rate determined.

Resource allocation strategies enhance fairness and system performance.

Abstract

In this contribution, the optimization of power proportion allocated for each user in the downlink (DL) non-orthogonal multiple access (NOMA) systems have been developed. Successive interference cancellation (SIC) technique recovers users' signal with high difference between channel gains, in order to find the lowest optimum power proportion {required to guarantee} an equal data rate for all active users. Following the same approach, the optimum power proportion for each user and also the minimum total power to achieve the same rate for all users (maximum fairness) were obtained as a design goal. Moreover, the same design methodology was developed seeking to maximize the NOMA system energy efficiency (EE). It was possible to find the {maximum EE point} and the respective power distribution among the users for a certain circuitry power consumption. For all NOMA users in which the optimal operation point for EE maximization was parameterized, it was possible to find the total power, power ratio and the equal rate values. As a result, one can find the tradeoff point between EE and sum rate for each system scenario, as well as the best resource efficiency operation point. By considering the same rate for all users, the system attains maximum fairness among the users.