V2X in 3GPP Standardization: NR Sidelink in Release-16 and Beyond

Harounabadi, Mehdi; Soleymani, Dariush M.; Bhadauria, Shubhangi; Leyh, Martin; Roth-Mandutz, Elke

doi:10.1109/mcomstd.001.2000070

Cited by 117 publications

(51 citation statements)

References 4 publications

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“…3GPP Release 17 [23] for V2X is oriented to offer enhancements to the specifications already working in Release 16. Specifically, Release 17 efforts will focus on the maturity of the NR radio-access technology, and the incorporation of NR-based multimedia broadcast multicast service (MBMS) to develop new use cases for V2X.…”

Section: V2x Communications Evolution Toward Iovmentioning

confidence: 99%

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio

Ahmad

Gurtov

et al. 2022

IEEE Open J. Commun. Soc.

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The conceptualisation of the sixth generation of mobile wireless networks (6G) has already started with some potential disruptive technologies resonating as enablers for driving the emergence of a number of innovative applications. Particularly, 6G will be a prominent supporter for the evolution towards a truly Intelligent Transportation System and the realisation of the Smart City concept by fulfilling the limitations of 5G, once vehicular networks are becoming highly dynamic and complex with stringent requirements on ultra-low latency, high reliability, and massive connections. More importantly, providing security and privacy to such critical systems should be a top priority as vulnerabilities can be catastrophic, thus there are huge concerns regarding data collected from sensors, people and their habits. In this paper, we provide a timely deliberation of the role that promissory 6G enabling technologies such as artificial intelligence, network softwarisation, network slicing, blockchain, edge computing, intelligent reflecting surfaces, backscatter communications, terahertz links, visible light communications, physical layer authentication, and cell-free massive multiple-input multiple-output (MIMO) will play on providing the expected level of security and privacy for the Internet of Vehicles.

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Section: V2x Communications Evolution Toward Iovmentioning

confidence: 99%

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio

Ahmad

Gurtov

et al. 2022

IEEE Open J. Commun. Soc.

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“…Next, it is noteworthy that we offer different operation band options with realistic channel behavior to perform simulations in our communication module. Specifically, in Release 17 [10] announced in December 2019, frequency range 1 (sub6GHz) is still considered to support C-V2X communications. We further consider THz band as an option in our platform for next-generation communications.…”

Section: ) Transportation Modulementioning

confidence: 99%

“…As for the channel effect, we consider frequency and distance-dependent path loss in both bands following the suggestions of 3GPP simulation guideline and latest papers [10]. Specifically, the block slow fading channel with the path loss: 127 + 2 * log 10 (f ) + 30 * log 10 (d), where d (km) is the distance and f is the center frequency of each connections, is set for sub6GHz band.…”

Section: ) Transportation Modulementioning

confidence: 99%

A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access

Chen

Lin

Chien-Yuan

et al. 2021

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Intelligent transportation systems and autonomous vehicles are expected to bring new experiences with enhanced efficiency and safety to road users in the near future. However, an efficient and robust vehicular communication system should act as a strong backbone to offer the needed infrastructure connectivity. Deep learning (DL)-based algorithms are widely adopted recently in various vehicular communication applications due to their achieved low latency and fast reconfiguration properties. Yet, collecting actual and sufficient transportation data to train DL-based vehicular communication models is costly and complex. This paper introduces a cellular vehicle-to-everything (C-V2X) verification platform based on an actual traffic simulator and spectrum-aware access. This integrated platform can generate realistic transportation and communication data, benefiting the development and adaptivity of DL-based solutions. Accordingly, vehicular spectrum recognition and management are further investigated to demonstrate the potentials of dynamic slidelink access. Numerical results show that our platform can effectively train and realize DL-based C-V2X algorithms. The developed slidelink communication can adopt different operating bands with remarkable spectrum detection performance, validating its practicality in real-world vehicular environments.

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“…Vehicle networks are seen as a key enabler for connected and autonomous driving, but have been limited to increase the safety of road users and improve the traffic efficiency of roads [1]. However, the Fifth-Generation (5G) New Radio (NR) V2X comes to support new applications, where ultra-low latency and very high reliability are required, and can meet an end-to-end latency of 3 ms with a high reliability up to 99.999% [2].…”

Section: Introductionmentioning

confidence: 99%

Effective PSCCH Searching for 5G-NR V2X Sidelink Communications

Magueta¹,

Domingues

Silva

et al. 2021

Electronics

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Cooperative Intelligent Transport Systems (C-ITS) are essential for increasing road safety and to make road transport more efficient, sustainable, and environmentally friendly. The implementation of C-ITS technology is only possible through the connectivity of Vehicle-to-Everything (V2X), which allows the interconnection of vehicles in a network and with road support infrastructure. However, real-time systems require efficient signal processing in order to respond within the necessary time. Some of this processing is related to searching the Physical Sidelink Control Channel (PSCCH), where a blind algorithm is commonly used. However, this algorithm is quite inefficient to searching the PSCCH, since all the processing should be completed several times before successful decoding it. Therefore, the aim of this paper is to design a more efficient algorithm to search/decode the PSCCH. In the proposed algorithm, we firstly compute all the correlations between the received signal and the Demodulation Reference Signal (DMRS), and the remaining conventional processing to decode the PSCCH is only performed over the subchannels with higher correlation, which leads to a strong complexity reduction. The proposed algorithm is evaluated and compared with the conventional blind algorithm. The results have shown a significant performance improvement in terms of runtime.

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V2X in 3GPP Standardization: NR Sidelink in Release-16 and Beyond

Cited by 117 publications

References 4 publications

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access

Effective PSCCH Searching for 5G-NR V2X Sidelink Communications

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