Abstract

Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previous conventional resource allocation techniques, these two performance metrics have been considered in isolation, resulting in severe performance degradation in either of these metrics. Motivated by this problem, in this paper, we propose a novel beamforming design that jointly considers the trade-off between the two performance metrics in a multiple-input single-output non-orthogonal multiple access system. In particular, we formulate a joint SE-EE based design as a multi-objective optimization (MOO) problem to achieve a good trade-off between the two performance metrics. However, this MOO problem is not mathematically tractable and, thus, it is difficult to determine a feasible solution due to the conflicting objectives, where both need to be simultaneously optimized. To overcome this issue, we exploit a priori articulation scheme combined with the weighted sum approach. Using this, we reformulate the original MOO problem as a conventional single objective optimization (SOO) problem. In doing so, we develop an iterative algorithm to solve this non-convex SOO problem using the sequential convex approximation technique. Simulation results are provided to demonstrate the advantages and effectiveness of the proposed approach over the available beamforming designs.

Highlights

  • O VER recent years, extensive research efforts have been devoted to the practical implementations of new disruptive technologies for the fifth generation (5G) and beyond wireless networks [1]

  • To overcome the EE degradation associated with the sum rate maximization (SRM) design, we have proposed a global EE maximization (GEE-Max) design in our previous work [27] to maximize the overall EE of the system

  • Motivated by the importance of both key performance metrics spectral efficiency (SE) and EE in 5G and beyond wireless networks [1], [41], and to overcome the limitations associated with the conventional global energy efficiency (GEE)-Max and SRM designs [26], [27], in this paper we propose an SE-EE trade-off based design for an multiple-input single-output (MISO)-non-orthogonal multiple access (NOMA) system

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Summary

Introduction

O VER recent years, extensive research efforts have been devoted to the practical implementations of new disruptive technologies for the fifth generation (5G) and beyond wireless networks [1]. The unexpected exponential growth in the number of connected devices and the unprecedented requirements of higher data rates, low latency and ultra reliability are of major concerns in future wireless networks [1]. These demanding requirements are difficult to meet or almost impossible to achieve without an enormous power consumption, which is unacceptable due to undesirable impacts on the natural environmental [2], and financially unaffordable. Superposition coding (SC) is utilized at the base station to encode the

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