V2X Communications for Connected Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 7873

Special Issue Editors


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Guest Editor
Department of Electrical and Computer Engineering, Georgia Southern University, GA 30460, USA
Interests: V2X communications and networking; blockchain; reinforcement learning; spectrum sharing

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Guest Editor
Electrical & Computer Engineering, The Grainger College of Engineering, University of Illinois, Urbana, IL 61801, USA
Interests: signal processing; wireless communication systems; wireless sensing by mmWave and Phase-array

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Guest Editor
Department of Electrical Engineering, University of Texas at Tyler, Tyler, TX 75799, USA
Interests: multimedia networking; wireless communication; AR/VR; quality of experience; holo-presence; radar signal processing; network security; low latency network; AI; machine learning
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Special Issue Information

Dear Colleagues,

Intelligent transportation systems (ITS) are no longer a concept from science fiction; rather, they are imminent, if not already integrated, in our everyday life. As enabling technology for most traffic-related issues ranging from in-vehicle entertainment to safety-critical applications, vehicle-to-everything (V2X) communications are considered to be one of the core technologies enabling ITS. Meanwhile, due to the dynamic nature of a V2X environment, mainly attributed to the mobility of vehicles, the development of V2X communications has raised a plethora of interesting research questions. As an effort to expedite the public’s understanding of the V2X communications, we are delighted to announce this Special Issue, where we look forward to receiving interesting ideas from you.

We welcome the submission of any unpublished original research related to the theme of “Vehicular Networks and Communications”. The articles are encouraged to discuss the following topics but are not limited to:

  • V2X Communications, V2V, V2R, V2P, V2I, V2S;      
  • Radar, LIDAR, SONAR;        
  • Augmented Reality, Virtual Reality;       
  • Routing, Data Dissemination, Data Aggregation, Path Section, Optimization; 
  • Medium Access Protocols, Congestion Control, Prioritization Techniques;    
  • Green Computing, Energy Consumption, Energy Harvesting, Lifetime Maximization;
  • Secure Communications, Security Optimization, Distributed Security;        
  • Privacy Preservation, Privacy Loss;
  • Video Transmission, Video Encoding/Decoding, Video Compression;
  • Edge Computing, Fog Computing, Cloud Computing, Distributed Computing;·
  • Localization, Geographic, GPS outage, GPS free, GPS-assisted;
  • Propagation Modelling, Interference, Path Loss Modelling.

Dr. Seungmo Kim
Dr. Thomas Moon
Dr. Jounsup Park
Guest Editors

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Published Papers (2 papers)

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Research

15 pages, 3496 KiB  
Article
Effective PSCCH Searching for 5G-NR V2X Sidelink Communications
by Roberto Magueta, João Domingues, Adão Silva and Paulo Marques
Electronics 2021, 10(22), 2827; https://doi.org/10.3390/electronics10222827 - 17 Nov 2021
Cited by 2 | Viewed by 3893
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue V2X Communications for Connected Vehicles)
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14 pages, 1295 KiB  
Article
Interference Rejection Combining Approach in Vehicle Communication Systems for Throughput Enhancement
by Yun-joong Park, Sang-mo Sung, Joon-young Kim and Jae-il Jung
Electronics 2021, 10(16), 1922; https://doi.org/10.3390/electronics10161922 - 10 Aug 2021
Cited by 1 | Viewed by 2697
Abstract
In this paper, we present interference rejection combining scheme for interference suppression in wireless access in vehicular environments (WAVE) system. WAVE system performances depend on interference traffic since various signals and noises are present due to various vehicles on the road. The IRC [...] Read more.
In this paper, we present interference rejection combining scheme for interference suppression in wireless access in vehicular environments (WAVE) system. WAVE system performances depend on interference traffic since various signals and noises are present due to various vehicles on the road. The IRC scheme can minimize the interference presence from the received signal within the massive interference condition, resulting in the substantial gain of signal-to-interference and noise ratios (SINR) and performance. Based on the experiment of our proposed scheme, given the vehicle speed, SINR and different channel condition, our proposed scheme for interference suppression achieved significant improvements by 2 dB SINR performance gain in the low speed condition and above 0.5 dB performance gain at the high speed case. To extend our scheme for the comprehensive analysis, we also produced the vehicle speed and SINR performance map, which showed the performance pattern over vehicle speed and SINR of our scheme. Full article
(This article belongs to the Special Issue V2X Communications for Connected Vehicles)
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