Dual-Stage NOMA for Relay-Enabled Power Line Communication Under Bernoulli-Gaussian Noise

• Published in: 2023 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) pp. 299 - 303
• Main Authors: Ramesh, Roopesh, Muralishankar, R., Gurugopinath, Sanjeev
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13-10-2023
• Subjects: AWGN; Bernoulli-Gaussian noise; dual-stage; Monte Carlo methods; NOMA; outage probability; power line communication; Power line communications; Power system reliability; Probability; Very large scale integration
• DOI: 10.1109/DISCOVER58830.2023.10316728

This paper studies the performance of outage probability in a dual-stage (DS) cooperative non-orthogonal multiple access (NOMA) system for power line communication (PLC) in the presence of Bernoulli-Gaussian impulsive noise. The network configuration includes a single source node and two destination nodes among which one the node act as a decode-and-forward (DF) relay node. This is similar to the existing research on DS NOMA setup, which primarily focused on additive white Gaussian noise. In this setup, both the source and relay transmit data to the destination node using NOMA across two consecutive time frames. We provide mathematical expressions for outage probabilities at both nodes in the context of Bernoulli-Gaussian noise. Furthermore, our analysis is validated using numerical methods and Monte Carlo simulations. Additionally, our results indicate that a DS-NOMA configuration exhibits lower outage probability when compared to a single-stage NOMA setup.