An overview of the 3GPP identified Use Cases for V2X Services

Khan, Muhammad Jalal; Khan, Manzoor Ahmed; Beg, Azam; Malik, Sumbal; El-Sayed, Hesham

doi:10.1016/j.procs.2021.12.317

Cited by 20 publications

(5 citation statements)

References 12 publications

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“…Though V2P's main purpose is to detect and share neighborhood pedestrian vulnerability, 62 however, we, in the PAM V2P implementation, exploited the V2P abstraction to define a TN who is a pedestrian and may avail computation support. The donors of such computation can be donor fog vehicles (SVs), as shown in Figure 2.…”

Section: System Modelmentioning

confidence: 99%

PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X

Khattak,

Yuan,

Ahmad

et al. 2024

Trans Emerging Tel Tech

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Recent advancements in distributed computing systems have shown promising prospects in enabling the effective usage of many next‐generation applications. These applications include a wide range of fields, such as healthcare, interactive gaming, video streaming, and other related technologies. Among such solutions are the evolving vehicular fog computing (VFC) frameworks that make use of IEEE and 3GPP protocols and use advanced optimization algorithms. However, these approaches often rely on outdated protocols or computationally intensive mathematical techniques for solving or representing their optimization models. Additionally, some of these frameworks have not thoroughly considered the type of application during their evaluation and validation phases. In response to these challenges, we have developed the “predictive analytics and modules” (PAM) framework, which operates on a time and event‐driven basis. It utilizes up‐to‐date 3GPP protocols to address the inherent unpredictability of VFC‐enabled distributed computing systems required in smart healthcare systems. Through a combination of a greedy heuristic approach and a distributed offloading architecture, PAM efficiently optimizes decisions related to task offloading and computation allocation. This is achieved through specialized algorithms that provide support to computationally weaker devices, all within a time frame of under 100 ms. To assess the performance of PAM in comparison to three benchmark methodologies, the evaluation pathways that we employed are average response time, probability density function, pareto‐analysis, algorithmic run time, and algorithmic complexity.

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Section: System Modelmentioning

confidence: 99%

PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X

Khattak,

Yuan,

Ahmad

et al. 2024

Trans Emerging Tel Tech

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“…D. Other V2X services and their requirements [130], [131], [132], [1] Several other V2X services have varying latency, reliability, and bandwidth requirements. For instance, V2X communication for entertainment services (such as streaming media) may have lower reliability requirements than safetycritical services.…”

Section: Vehicle-to-pedestrian Communication For Safety Applications[...mentioning

confidence: 99%

Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions

Annu,

Rajalakshmi

2024

IEEE Open J. Veh. Technol.

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The advent of 6G marks a transformative phase in wireless communication, ushering in a hyperconnected experience. This paper explores optimizing sidelink technologies in Vehicle-to-Everything (V2X) communication through integrating 6G capabilities. Emphasizing challenges in sidelink resource allocation, the study introduces mathematical solutions. The survey further investigates the evolution of Cellular-V2X (C-V2X) and sidelink standardization within the 6G V2X Sidelink context, highlighting key features and applications. Additionally, it examines inter-UE coordination, resource re-evaluation, and pre-emption operations in 5G-V2X Sidelink, addressing associated challenges and mathematical formulations. The paper focuses on power-based resource allocation in 5G-V2X, addressing challenges and proposing solutions for the 6G V2X Sidelink landscape. Encompassing direct communication, collision issues, spectrum compliance, resource fairness, uncertainty, and interference management, the survey comprehensively explores challenges and solutions in current sidelink resource allocation. It evaluates traditional and emerging techniques, such as cognitive radio, cooperative communication, power control, dynamic spectrum access, ML-aided allocation, blockchain-enabled allocation, and edge computing-driven allocation. The resource allocation requirements for diverse V2X services in 6G V2X Sidelink are outlined, explicitly focusing on Vehicular to Vehicular (V2V), Vehicular to Infrastructure (V2I), Vehicular to Pedestrian (V2P), and other V2X services, addressing their specific needs.

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“…Furthermore, we have also arranged the documents according to the release number under each technological category, which clearly visualizes the continuation and focus of various topics in different releases. The use-cases and services (from TR 22.885 ) support V2X communication types and address the safety and non-safety issues through 4G technology [ 17 ]. Therefore, it goes without saying that the technical report ( TR 22.885 ) is the foundational building-block for identifying 4G V2X use-cases and their potential requirements.…”

Section: Taxonomy Of C-v2x Related 3gpp Standard Documentsmentioning

confidence: 99%

Advancing C-V2X for Level 5 Autonomous Driving from the Perspective of 3GPP Standards

Khan

Malik

et al. 2023

Sensors

Self Cite

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Cellular vehicle-to-everything (C-V2X) is one of the enabling vehicular communication technologies gaining momentum from the standardization bodies, industry, and researchers aiming to realize fully autonomous driving and intelligent transportation systems. The 3rd Generation Partnership Project (3GPP) standardization body has actively been developing the standards evolving from 4G-V2X to 5G-V2X providing ultra-reliable low-latency communications and higher throughput to deliver the solutions for advanced C-V2X services. In this survey, we analyze the 3GPP standard documents relevant to V2X communication to present the complete vision of 3GPP-enabled C-V2X. To better equip the readers with knowledge of the topic, we describe the underlying concepts and an overview of the evolution of 3GPP C-V2X standardization. Furthermore, we provide the details of the enabling concepts for V2X support by 3GPP. In this connection, we carry out an exhaustive study of the 3GPP standard documents and provide a logical taxonomy of C-V2X related 3GPP standard documents divided into three categories: 4G, 4G & 5G, and 5G based V2X services. We provide a detailed analysis of these categories discussing the system architecture, network support, key issues, and potential solution approaches supported by the 3GPP. We also highlight the gap and the need for intelligence in the execution of different operations to enable the use-case scenarios of Level-5 autonomous driving. We believe, the paper will equip readers to comprehend the technological standards for the delivery of different ITS services of the higher level of autonomous driving.

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An overview of the 3GPP identified Use Cases for V2X Services

Cited by 20 publications

References 12 publications

PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X

PAM: Predictive analytics and modules‐based computation offloading framework using greedy heuristics and 5G NR‐V2X

Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions

Advancing C-V2X for Level 5 Autonomous Driving from the Perspective of 3GPP Standards

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