Rate Splitting Multiple Access in V2X

ABSTRACT This paper investigates the integration of rate‐splitting multiple access (RSMA) into cellular vehicle‐to‐everything (C‐V2X) networks to enhance resource allocation and interference management in decentralized, ad‐hoc vehicular communication environments. C‐V2X facilitates communication among vehicles, infrastructure, and pedestrians, and traditionally relies on orthogonal frequency division multiple access (OFDMA). However, OFDMA's rigidity limits its effectiveness under dynamic interference and imperfect channel state information (CSI) conditions typical of vehicular networks. RSMA, which blends features of spatial division multiple access (SDMA) and non‐orthogonal multiple access (NOMA), provides a more adaptive framework by splitting messages into common and private parts, thereby improving spectral efficiency and interference handling. To assess RSMA's applicability, the LTEV2Vsim simulator was extended to include RSMA functionality, incorporating features such as reputation‐based grouping, group‐wise resource synchronization, and simplified beamforming. A dynamic grouping algorithm selects high‐reputation vehicles as transmission leaders to form multi‐vehicle groups of varying sizes for RSMA‐based transmission. For interference modeling, self‐interference is excluded from SINR calculations, and beamforming‐based inter‐vehicle interference is approximated. Simulation results reveal that RSMA outperforms OFDMA in terms of spectral efficiency and adaptability, particularly under conditions of incomplete CSI and varying interference. The findings confirm RSMA's suitability for complex and fast‐changing vehicular environments, indicating its potential as a robust multiple access scheme for future C‐V2X deployments.

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Publication Details

Journal
IET Intelligent Transport Systems
Published
2025-01-01
DOI
https://doi.org/10.1049/itr2.70067
Primary Topic
Age of Information Optimization
Type
article
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article

Rate Splitting Multiple Access in V2X

Rashid Amin, Sumit Chakravarty, Arun R. Kumar, Aziz Nanthaamornphong
IET Intelligent Transport Systems
Age of Information Optimization
article

Rate Splitting Multiple Access in V2X

Rashid Amin, Sumit Chakravarty, Arun R. Kumar, Aziz Nanthaamornphong
article en

Abstract

ABSTRACT This paper investigates the integration of rate‐splitting multiple access (RSMA) into cellular vehicle‐to‐everything (C‐V2X) networks to enhance resource allocation and interference management in decentralized, ad‐hoc vehicular communication environments. C‐V2X facilitates communication among vehicles, infrastructure, and pedestrians, and traditionally relies on orthogonal frequency division multiple access (OFDMA). However, OFDMA's rigidity limits its effectiveness under dynamic interference and imperfect channel state information (CSI) conditions typical of vehicular networks. RSMA, which blends features of spatial division multiple access (SDMA) and non‐orthogonal multiple access (NOMA), provides a more adaptive framework by splitting messages into common and private parts, thereby improving spectral efficiency and interference handling. To assess RSMA's applicability, the LTEV2Vsim simulator was extended to include RSMA functionality, incorporating features such as reputation‐based grouping, group‐wise resource synchronization, and simplified beamforming. A dynamic grouping algorithm selects high‐reputation vehicles as transmission leaders to form multi‐vehicle groups of varying sizes for RSMA‐based transmission. For interference modeling, self‐interference is excluded from SINR calculations, and beamforming‐based inter‐vehicle interference is approximated. Simulation results reveal that RSMA outperforms OFDMA in terms of spectral efficiency and adaptability, particularly under conditions of incomplete CSI and varying interference. The findings confirm RSMA's suitability for complex and fast‐changing vehicular environments, indicating its potential as a robust multiple access scheme for future C‐V2X deployments.

IET Intelligent Transport SystemsVol. 19(1)
Prince of Songkla University (TH), Kennesaw State University (US), University of Engineering and Technology Taxila (PK), Sikkim Manipal University (IN)
Openalex Percentile: Top 80%
Age of Information Optimization
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