Temporal Connectivity as a Robustness Measure in NOMA Wireless Networks

Nonorthogonal multiple access (NOMA) is recognized as an important technology to meet the connectivity requirements of fifth generation (5G), non-terrestrial, and beyond 5G wireless networks. In this paper, we consider network connectivity as a measure of NOMA robustness to variable overloading, and explore the relationship between NOMA overloading and the evolution of network connectivity through a temporal graph model. We derive a time-varying stochastic expression for the directed connectivity between any two network devices (ND) as a function of overloading, and extend this analysis to develop a probability mass function of initial connectivity between any two NDs. Our results provide an overloading-based characterization of time-varying network robustness that is generalizable to any underlying NOMA implementation. We present simulation results to support our analytical predictions.