Robustness in Nonorthogonal Multiple Access 5G Networks

TL;DR

This paper investigates the robustness of 5G NOMA networks using temporal network theory, developing a graph model to analyze network connectedness and providing bounds on connectivity times.

Contribution

It introduces a novel analytical framework based on temporal network theory to evaluate robustness in NOMA 5G networks, including bounds on connectivity.

Findings

Derived lower bounds for network connectivity times.

Provided probability expressions for achieving device connectivity.

Validated analytical results through simulations.

Abstract

The diversity of fifth generation (5G) network use cases, multiple access technologies, and network deployments requires measures of network robustness that complement throughput-centric error rates. In this paper, we investigate robustness in nonorthogonal multiple access (NOMA) 5G networks through temporal network theory. We develop a graph model and analytical framework to characterize time-varying network connectedness as a function of NOMA overloading. We extend our analysis to derive lower bounds and probability expressions for the number of medium access control frames required to achieve pairwise connectivity between all network devices. We support our analytical results through simulation.