# Capacity and outage analysis of a dual-hop decode-and-forward relay-aided NOMA scheme

## TL;DR

This paper analyzes a dual-phase cooperative relaying scheme combining uplink and downlink NOMA, deriving capacity and outage metrics, and demonstrating performance improvements over conventional NOMA methods through analysis and simulations.

## Contribution

It introduces a novel DU-CNOMA protocol that integrates uplink and downlink NOMA in a cooperative relaying framework, with comprehensive analytical and simulation validation.

## Key findings

- DU-CNOMA outperforms conventional NOMA in capacity and outage metrics.
- Analytical results closely match simulation data, validating the proposed model.
- Performance gains are evident under both perfect and imperfect interference cancellation.

## Abstract

Non-orthogonal multiple access (NOMA) is regarded as a candidate radio access technique for the next generation wireless networks because of its manifold spectral gains. A two-phase cooperative relaying strategy (CRS) is proposed in this paper by exploiting the concept of both downlink and uplink NOMA (termed as DU-CNOMA). In the proposed protocol, a transmitter considered as a source transmits a NOMA composite signal consisting of two symbols to the destination and relay during the first phase, following the principle of downlink NOMA. In the second phase, the relay forwards the symbol decoded by successive interference cancellation to the destination, whereas the source transmits a new symbol to the destination in parallel with the relay, following the principle of uplink NOMA. The ergodic sum capacity, outage probability, and outage sum capacity are investigated comprehensively along with analytical derivations, under both perfect and imperfect successive interference cancellation. The performance improvement of the proposed DU-CNOMA over the conventional CRS using NOMA, is proved through analysis and computer simulation. Furthermore, the correctness of the author's analysis is proved through a strong agreement between simulation and analytical results.