Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies, standardization bodies, industry analytics and future directions

R, Dhinesh Kumar; Rammohan, A.

doi:10.1016/j.vehcom.2023.100638

Cited by 11 publications

(8 citation statements)

References 167 publications

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“…Vehicles within proximity of each other can exchange information either directly or with the help of BS, whereas BS also exchanges unicast information with vehicles. LTE-V2X standard is a model developed for compatible vehicular communication systems with 4G LTE BSs [30]. 3rd generation partnership project (3GPP) provides architectural support for LTE-based V2X.…”

Section: Conventional Bs-based V2n Systemmentioning

confidence: 99%

“…The BS-based communication system is the conventional method for V2N communications, where a BS is considered as a central hub for receiving and transmitting data from both vehicles and network infrastructure [29][30][31], as shown in Figure 1. The BS handles tasks such as channel allocation, signal processing, and routing, ensuring seamless connectivity and data exchange between vehicles and the network.…”

Section: Conventional Bs-based V2n Systemmentioning

confidence: 99%

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A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC]{A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC

Ahmed,

Khan,

Munasinghe

et al. 2024

Preprint

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With the rapid advancement of smart city infrastructure, vehicle-to-network (V2N) communication has emerged as a crucial technology to enable intelligent transportation systems (ITS). The investigation of new methods to improve V2N communications is sparked by the growing need for high-speed and dependable communications in vehicular networks. To achieve ultra-reliable low latency communication (URLLC) for V2N scenarios, we propose a smart meter (SM)-based cognitive network (CN) architecture for V2N communications. Our scheme makes use of SMs' available underutilized time resources to let them serve as distributed access points (APs) for V2N communications to increase reliability and decrease latency. We propose and investigate two algorithms for efficiently associating vehicles with the appropriate SMs. Extensive simulations are carried out for comprehensive performance evaluation of our proposed architecture and algorithms under diverse system scenarios. Performance is investigated with particular emphasis on communication latency and reliability, which are also compared with the conventional base station (BS)-based V2N architecture for further validation. The results highlight the value of incorporating SMs into the current infrastructure and open the door for future ITSs to utilize more effective and dependable V2N communications.

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Section: Conventional Bs-based V2n Systemmentioning

confidence: 99%

Section: Conventional Bs-based V2n Systemmentioning

confidence: 99%

A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC]{A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC

Ahmed,

Khan,

Munasinghe

et al. 2024

Preprint

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“…The tutorial [18] provides a comprehensive guide to 5G 5G V2X, complemented by our survey's focus on mathematical formulations and challenges in 6G V2X Sidelink resource allocation. The paper [19] comprehensively reviews C-V2X benefits, but our survey investigates mathematical formulations and resource allocation for the 6G V2X Sidelink.…”

Section: Related Workmentioning

confidence: 99%

“…Here, the objective (18) aims to maximize the sum of logarithmic SINR values for all users, which captures the achievable data rates. The constraints (19) ensure that the interference caused by each user is within the allowable limits defined by G kl , and that the received signal power plus noise remains above a threshold. Constraint (20) ensures that the total frequency allocation across all users does not exceed 1.…”

Section: A Cognitive Radio (Cr) For Sidelink V2xmentioning

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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“…As a city grows, scaling innovative mobility systems is necessary to handle increased data volume. However, new sensor deployments required to reach comprehensive coverage across all transportation modes and routes can be difficult and costly [77], potentially leaving some intermodal connections unmonitored [80,81]. Integrating, coordinating, and synchronizing data from multiple sensors in various transportation modes, such as trains, buses, bikes, and ride-sharing services, can also be challenging because of different sensor technologies, interfaces, data formats, and exchange protocols [24].…”

Section: The Challengesmentioning

confidence: 99%

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

Kantsepolsky,

Aviv

2024

Smart Cities

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The vital role of civil engineering is to enable the development of modern cities and establish foundations for smart and sustainable urban environments of the future. Advanced sensing technologies are among the instrumental methods used to enhance the performance of civil engineering infrastructures and address the multifaceted challenges of future cities. Through this study, we discussed the shortcomings of traditional sensors in four primary civil engineering domains: construction, energy, water, and transportation. Then, we investigated and summarized the potential of quantum sensors to contribute to and revolutionize the management of civil engineering infrastructures. For the water sector, advancements are expected in monitoring water quality and pressure in water and sewage infrastructures. In the energy sector, quantum sensors may facilitate renewables integration and improve grid stability and buildings’ energy efficiency. The most promising progress in the construction field is the ability to identify subsurface density and underground structures. In transportation, these sensors create many fresh avenues for real-time traffic management and smart mobility solutions. As one of the first-in-the-field studies offering the adoption of quantum sensors across four primary domains of civil engineering, this research establishes the basis for the discourse about the scope and timeline for deploying quantum sensors to real-world applications towards the quantum transformation of civil engineering.

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Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies, standardization bodies, industry analytics and future directions

Cited by 11 publications

References 167 publications

A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC]{A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC

A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC]{A Cognitive Network Architecture for Vehicle-to-Network (V2N) Communications over Smart Meters for URLLC

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

Sensors in Civil Engineering: From Existing Gaps to Quantum Opportunities

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