Resource Allocation for Downlink Full-Duplex Cooperative NOMA-Based Cellular System with Imperfect SI Cancellation and Underlaying D2D Communications.

Asmaa Amer,Abdel-Mehsen Ahmad,Sahar Hoteit

doi:10.3390/s21082768

Abstract

In this paper, the interplay between non-orthogonal multiple access (NOMA), device-to-device (D2D) communication, full-duplex (FD) technology, and cooperation networks is proposed, and a resource allocation problem is investigated. Specifically, a downlink FD cooperative NOMA-based cellular system with underlaying D2D communications is proposed, where, in each NOMA group, the strong user assists the weak user as an FD relay with imperfect self interference (SI) cancellation. In terms of reaping spectral efficiency benefits, the system sum rate is to be maximized by optimizing channel allocation. This optimization is based on quality of service (QoS) constraints of D2D pairs and cellular users (CUs), power budget of base station and strong user (cooperative phase), and successive interference cancellation (SIC) constraints. Since the maximization formulated problem is computationally challenging to be addressed, a two-sided stable many-to-one matching algorithm, based on Pareto improvement, performs sub-channel assignment. Extensive simulations are implemented to demonstrate the system performance indicated by different metrics.

Highlights

The explosive growth of internet of things (IoT) is revolutionizing today’s world and introducing advanced applications in all aspects
All simulation results are implemented in FD cooperative non-orthogonal multiple access (NOMA)
It is shown that implementing sub-channels allocation with many-to-one matching theory allocation outperforms that by the one-to-one matching or random matching, where the gain of the first over the other two is highlighted significantly with a denser D2D tier

Summary

Introduction

The explosive growth of internet of things (IoT) is revolutionizing today’s world and introducing advanced applications in all aspects. The number of IoT devices connected to the wireless network is immensely growing in a blistering pace, so mobile data is witnessing a steep rise. For fitting the quality of service (QoS) guarantees of the massively connected devices, advanced 5G key technologies are considered. The present orthogonal multiple access (OMA) schemes assign different resources (frequency, time, code, or space) to different users, limiting the number of users to the number of scarce resources. These schemes cannot fully support the 5G and beyond demands; more efficient radio multiple access (MA) schemes are needed [1]

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Conclusion