PHY/MAC Cross-Layer Design using NOMA for Next Generation C-V2X

As vehicle-to-everything (V2X) communication becomes essential for autonomous and connected vehicle ecosystems, enhancing performance through advanced multiple access techniques is increasingly vital. This paper introduces a novel cross-layer design integrating non-orthogonal multiple access (NOMA) in the physical (PHY) and medium access control (MAC) layers of cellular V2X (C-V2X) systems, with a focus on improving system throughput, reliability, and resource efficiency. Through analytical modeling and simulation, we evaluate the impact of NOMA-based resource allocation and user pairing strategies compared to traditional orthogonal multiple access (OMA) methods. Simulation results confirm that NOMA significantly boosts throughput and spectral efficiency, particularly in low-to-moderate user densities; however, as the number of users rises beyond 10, interference among far users and the complexity of successive interference cancellation (SIC) for near users present performance trade-offs in packet error rate (PER) and throughput. These findings highlight the need for advanced power allocation, interference management, and hybrid solutions to sustain NOMA's advantages in dense vehicular environments.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160770
Citations
1
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
1.49
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article

PHY/MAC Cross-Layer Design using NOMA for Next Generation C-V2X

Alain Allouis, Iyad Dayoub
1 citations
Software-Defined Networks and 5G
1.49
article

PHY/MAC Cross-Layer Design using NOMA for Next Generation C-V2X

Alain Allouis, Iyad Dayoub
article en
1 citations

Abstract

As vehicle-to-everything (V2X) communication becomes essential for autonomous and connected vehicle ecosystems, enhancing performance through advanced multiple access techniques is increasingly vital. This paper introduces a novel cross-layer design integrating non-orthogonal multiple access (NOMA) in the physical (PHY) and medium access control (MAC) layers of cellular V2X (C-V2X) systems, with a focus on improving system throughput, reliability, and resource efficiency. Through analytical modeling and simulation, we evaluate the impact of NOMA-based resource allocation and user pairing strategies compared to traditional orthogonal multiple access (OMA) methods. Simulation results confirm that NOMA significantly boosts throughput and spectral efficiency, particularly in low-to-moderate user densities; however, as the number of users rises beyond 10, interference among far users and the complexity of successive interference cancellation (SIC) for near users present performance trade-offs in packet error rate (PER) and throughput. These findings highlight the need for advanced power allocation, interference management, and hybrid solutions to sustain NOMA's advantages in dense vehicular environments.

Alstom (France) (FR), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), Université Polytechnique Hauts-de-France (FR)
Openalex Percentile: Top 13%
Software-Defined Networks and 5G
1.49
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PHY/MAC Cross-Layer Design using NOMA for Next Generation C-V2X — Alain Allouis, Iyad Dayoub · (2025) | TGRS Research Map | TGRS