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Wireless Communication Systems and Artificial Intelligence for Future Vehicles

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B2: Clean Energy".

Deadline for manuscript submissions: closed (20 November 2021) | Viewed by 4311

Special Issue Editors


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Guest Editor
Electronic Waves and Signals Laboratory for Transport (LEOST), Gustave Eiffel University, 59650 Villeneuve-d'Ascq, France
Interests: 5G; cognitive radios; wireless communications; indoor localization; transport systems; V2X communication
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Guest Editor
Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00185 Rome, Italy
Interests: indoor positioning; UWB; terahertz communications; 5G; cognitive radio

Special Issue Information

Dear Colleagues,

The open access journal Energies (IF: 2.702, ISSN 1996-1073) is pleased to announce the launch of a new Special Issue entitled “Wireless Communication Systems and Artificial Intelligence for Future Vehicles”. We are serving as Guest Editors for this issue.

Context

Communication V2X plays a significant role in improving road safety and optimizing traffic management. Wireless communication allows sharing a large amount of data collected from hundreds of embedded sensors, encompassing all the communications between a vehicle and its environment.

Beyond the need for high data rates for V2X communication—which has been the main driver of wireless network evolution in the past decade—next-generation V2X wireless communication must be able to deliver excellent reliability, energy autonomy, good quality-of-service (QoS), and low-latency in communication, that is adaptive, in real-time, for dynamic communication systems. These requirements mandate a fundamental change in the way in which wireless networks are studied, modeled, designed, and optimized.

While the main ingredients for 5G and beyond—such as dense small cell deployments, millimeter wave (mmWave) communications, beamforming, and device-to-device (D2D) communications—have been proposed, integrating them into a truly harmonious wireless system that can address the challenges in V2X communication requires instilling intelligent functions across all steps of wireless communication. These intelligent functions can only be realized by integrating fundamental notions of artificial intelligence (AI) across the wireless infrastructure and end-user devices. In fact, artificial intelligence (AI) approaches well known from computer science disciplines are beginning to emerge in wireless communications. These AI approaches have been first widely applied to the upper layers of wireless communication systems. These designed system models and algorithms greatly improve the performance of V2X communication systems based on traditional algorithms. Due to the new features of future V2X communications, such as multitude services with unknown channel models, high-speed and accurate processing requirements, complicated heterogeneous networks, and limited spectral and frequency resources, traditional solutions are no longer suitable. Therefore, AI will become the best solution for assuring that the requirements of V2X wireless communication for future vehicles are met.

The main focus of this Special Issue is the research challenges relating to the new generation of V2X communication and AI’s contribution to improving the performance of these communications.

Dr. Fouzia Boukour Elbahhar
Dr. Luca De Nardis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • V2X wireless communications
  • AI and channel propagation
  • Physical layer for V2X communication
  • AI and future vehicles
  • D2D and AI

Published Papers (2 papers)

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Research

13 pages, 344 KiB  
Article
Performance Evaluation of 5G Waveforms for Joint Radar Communication over 77 GHz and 24 GHz ISM Bands
by Imane Khelouani, Fouzia Elbahhar, Raja Elassali and Noureddine Idboufker
Energies 2022, 15(6), 2049; https://doi.org/10.3390/en15062049 - 11 Mar 2022
Cited by 2 | Viewed by 1662
Abstract
The V2X environment poses many challenges to emerging wireless communication systems, while it is crucial to ensure the efficiency and safety of road users. Requiring continual localization of the surroundings and accurate obstacle detection while providing high reliability in dense networks and low [...] Read more.
The V2X environment poses many challenges to emerging wireless communication systems, while it is crucial to ensure the efficiency and safety of road users. Requiring continual localization of the surroundings and accurate obstacle detection while providing high reliability in dense networks and low latency in high-mobility environment communication systems imposes a challenge to the driver-assistance field given that we are overly limited in terms of frequency bands and resources. Hence, pooling of the available frequency resources between different applications can help increase the spectral efficiency. A new collaborative approach multiplexed in the time domain, namely RadCom, which can be described as a joint radar and communication system that performs both vehicle-to-everything communication and detection of the neighboring obstacles in the vehicular environment, has been proposed to overcome the limitations of the existing conventional radar system. Based on orthogonal frequency division multiplexing (OFDM), this RadCom system proved to be suitable up to now for V2X. Moreover, a new RadCom system based on universal frequency multi-carrier (UFMC), an advanced fifth-generation (5G) waveform, has been proposed to enhance the spectral efficiency and surmount the shortcomings induced by the OFDM waveform. This recent RadCom system has been studied in the new frequency range of 76–81 GHz; precisely, 77 GHz. Hence, in this paper, we propose to compare both subsystems of the proposed RadCom system over two different frequency carriers, 24 GHz and 77 GHz, and to adopt the proper system parametrization in order to meet appropriate wireless solutions for automotive RadCom systems. Full article
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18 pages, 5220 KiB  
Article
Novel Centralized Pseudonym Changing Scheme for Location Privacy in V2X Communication
by Ahmed Didouh, Yassin El Hillali, Atika Rivenq and Houda Labiod
Energies 2022, 15(3), 692; https://doi.org/10.3390/en15030692 - 18 Jan 2022
Cited by 7 | Viewed by 2017
Abstract
Vehicular ad hoc networks allow vehicles to share their information for the safety and efficiency of traffic purposes. However, information sharing can threaten the driver’s privacy as it includes spatiotemporal information, and the messages are unencrypted and broadcasted periodically. Therefore, they cannot estimate [...] Read more.
Vehicular ad hoc networks allow vehicles to share their information for the safety and efficiency of traffic purposes. However, information sharing can threaten the driver’s privacy as it includes spatiotemporal information, and the messages are unencrypted and broadcasted periodically. Therefore, they cannot estimate their privacy level because it also depends on their surroundings. This article proposes a centralized adaptive pseudonym change scheme that permits the certificate’s authority to adjust the pseudonyms assignment for each requesting vehicle. This scheme adapts dynamically depending on the density of the traffic environment and the user’s privacy level, and it aims to solve the trade-off problem between wasting pseudonyms and Sybil attack. We employ a Knapsack problem-based algorithm for target tracking and an entropy-based method to measure each vehicle’s privacy. In order to demonstrate the applicability of our framework, we use real-life data captured during the interoperability tests of the European project InterCor. According to the experimental results, the proposed scheme could easily estimate the level of confidentiality and, therefore, may best respond to the adaptation of the pseudonyms. Full article
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