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协作 5G-NR-V2X RSUs 的资源管理,以增强 V2I/N 链路可靠性。

Resource Management for Collaborative 5G-NR-V2X RSUs to Enhance V2I/N Link Reliability.

机构信息

Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea.

出版信息

Sensors (Basel). 2023 Apr 14;23(8):3989. doi: 10.3390/s23083989.

DOI:10.3390/s23083989
PMID:37112331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10145061/
Abstract

In the development of autonomous driving technology, 5G-NR vehicle-to-everything (V2X) technology is a key technology that enhances safety and enables effective management of traffic information. Road-side units (RSUs) in 5G-NR V2X provide nearby vehicles with information and exchange traffic, and safety information with future autonomous vehicles, enhancing traffic safety and efficiency. This paper proposes a communication system for vehicle networks based on a 5G cellular network with RSUs consisting of the base station (BS) and user equipment (UE), and validates the system performance when providing services from different RSUs. The proposed approach maximizes the utilization of the entire network and ensures the reliability of V2I/V2N links between vehicles and each RSU. It also minimizes the shadowing area in the 5G-NR V2X environment, and maximizes the average throughput of vehicles through collaborative access between BS- and UE-type RSUs. The paper applies various resource management techniques, such as dynamic inter-cell interference coordination (ICIC), coordinated scheduling coordinated multi-point (CS-CoMP), cell range extension (CRE), and 3D beamforming, to achieve high reliability requirements. Simulation results demonstrate improved performance in outage probability, reduced shadowing area, and increased reliability through decreased interference and increased average throughput when collaborating with BS- and UE-type RSUs simultaneously.

摘要

在自动驾驶技术的发展中,5G-NR 车对一切(V2X)技术是增强安全性和有效管理交通信息的关键技术。5G-NR V2X 中的路侧单元(RSU)为附近的车辆提供信息,并与未来的自动驾驶车辆交换交通和安全信息,从而提高交通安全性和效率。本文提出了一种基于 5G 蜂窝网络的车辆网络通信系统,该系统由基站(BS)和用户设备(UE)组成的 RSU 组成,并验证了从不同 RSU 提供服务时的系统性能。所提出的方法最大化了整个网络的利用率,并确保了车辆与每个 RSU 之间的 V2I/V2N 链路的可靠性。它还最小化了 5G-NR V2X 环境中的阴影区域,并通过 BS 和 UE 类型的 RSU 之间的协作接入最大化了车辆的平均吞吐量。本文应用了各种资源管理技术,如动态小区间干扰协调(ICIC)、协调多点(CS-CoMP)协同调度、小区范围扩展(CRE)和 3D 波束赋形,以满足高可靠性要求。仿真结果表明,通过同时与 BS 和 UE 类型的 RSU 协作,可以显著提高中断概率、降低阴影区域、减少干扰和增加平均吞吐量,从而提高性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/032849c2ddd7/sensors-23-03989-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/e27d176513ff/sensors-23-03989-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/9a15dfc0d83a/sensors-23-03989-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/85ff62287618/sensors-23-03989-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/fda6a5aa2a9c/sensors-23-03989-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/057fe90c118e/sensors-23-03989-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/032849c2ddd7/sensors-23-03989-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/e27d176513ff/sensors-23-03989-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/9a15dfc0d83a/sensors-23-03989-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/85ff62287618/sensors-23-03989-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/fda6a5aa2a9c/sensors-23-03989-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/057fe90c118e/sensors-23-03989-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c024/10145061/032849c2ddd7/sensors-23-03989-g006.jpg

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