Performance Analysis of Multi-Service Oriented Multiple Access Under General Channel Correlation

TL;DR

This paper analyzes the performance of the MOMA scheme, a non-orthogonal multiple access method designed for diverse service classes and massive device connectivity, using realistic channel models and large antenna arrays.

Contribution

It provides the first asymptotically exact performance analysis of MOMA under general channel correlation conditions.

Findings

Derives asymptotic ergodic rate approximations for MOMA.

Shows MOMA's effectiveness in scenarios with many devices and diverse QoS.

Validates analysis with numerical simulations.

Abstract

In this article, we provide both analytical and numerical performance analysis of multi-service oriented multiple access (MOMA), a recently proposed non-orthogonal multiple-access scheme for scenarios with a massive number of concurrent connections originating from separate service classes with diverse quality-of-service (QoS) profiles and running on both handheld terminals and Internet-of-Things (IoT) devices. MOMA is based on both class dependent hierarchical-spreading transmission scheme and per-class reception structure. The performance analysis presented in this article is based on realistic channel and signal models for scenarios where the base station is equipped with a large number of antennas. It provides asymptotically exact approximations of the ergodic rates achievable by MOMA.