Rate Splitting Multiple Access in V2X

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Arun Kumar, Sumit Chakravarthy, Rashid Amin, Aziz Nanthaamornphong
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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.

Abstract Image

V2X中的分频多址
本文研究了将速率分割多址(RSMA)集成到蜂窝车对万物(C-V2X)网络中,以增强分散的自组织车辆通信环境中的资源分配和干扰管理。C-V2X促进了车辆、基础设施和行人之间的通信,传统上依赖于正交频分多址(OFDMA)。然而,OFDMA的刚性限制了其在车用网络动态干扰和信道状态信息不完善条件下的有效性。RSMA融合了SDMA (spatial division multiple access)和NOMA (non-orthogonal multiple access)的特点,通过将消息分成公共部分和私有部分,提供了一种适应性更强的框架,从而提高了频谱效率和干扰处理能力。为了评估RSMA的适用性,对LTEV2Vsim模拟器进行了扩展,使其包含了RSMA功能,并结合了基于声誉的分组、分组资源同步和简化波束形成等特性。采用动态分组算法,选择声誉较高的车辆作为传输leader,形成不同规模的多车辆组,进行基于rsma的传输。在进行干扰建模时,将自干扰排除在信噪比计算之外,并近似计算基于波束形成的车辆间干扰。仿真结果表明,RSMA在频谱效率和适应性方面优于OFDMA,特别是在不完全CSI和变化干扰条件下。研究结果证实了RSMA适用于复杂和快速变化的车辆环境,表明其作为未来C-V2X部署的强大多址方案的潜力。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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