Cellular-V2X Communications With Weighted-Power-Based Mode Selection

Xu, Xiaoli; Zeng, Yong; Guan, Yong Liang; Li, Yonghui

doi:10.1109/ojcoms.2020.2984285

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…However, the vehicles on road were distributed randomly in their study which may not be practical in most settings. In another recent work [20], Xu et al proposed to use a weighted mode selection approach to improve the coverage probability of the C-V2X communications. They compared their results to three different benchmark scheme.…”

Section: A Related Workmentioning

confidence: 99%

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

Jameel

Khan

Kumar

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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The research efforts on cellular vehicle-to-everything (V2X) communications are gaining momentum with each passing year. It is considered as a paradigm-altering approach to connect a large number of vehicles with minimal cost of deployment and maintenance. This article aims to further push the state-of-the-art of cellular V2X communications by providing an optimization framework for wireless charging, power allocation, and resource block assignment. Specifically, we design a network model where roadside objects use wireless power from RF signals of electric vehicles for charging and information processing. Moreover, due to the resource-constraint nature of cellular V2X, the power allocation and resource block assignment are performed to efficiently use the resources. The proposed optimization framework shows an improvement in terms of the overall energy efficiency of the network when compared with the baseline technique. The performance gains of the proposed solution clearly demonstrate its feasibility and utility for cellular V2X communications. Index Terms Energy efficiency, Resource block assignment, Vehicle-to-everything (V2X) communications, Wireless power transfer. I. INTRODUCTION Recent breakthroughs in automated driving technologies and electric engines are expected to revolutionize the intelligent transportation systems (ITSs), in terms of on-road safety services, enriched travel experiences, and transportation efficiency [1]. Although fully autonomous vehicles are still being developed, issues like collision warning/avoidance, inter-vehicle cooperation, and automated platooning need more improvements. In this regard, vehicle to everything (V2X) communications is expected to solve most of these issues through interaction, coordination, and cooperation with the devices on the road [2], [3]. Some works for onboard sensing and computer vision share the same objective but show little performance gains. Specifically, these ambitious projects are constrained by many technical challenges like training data sets, machine defects, poor processing capabilities and limiting sensing range. V2X communication is expected to break these barriers through cooperation among vehicles via wireless communications [4]-[6]. It also aims to empower cross-discipline studies on computer vision and onboard sensing through the integration of real-time global information [7].

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Section: A Related Workmentioning

confidence: 99%

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

Jameel

Khan

Kumar

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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show abstract

“…23,24 The other mode involves the conventional mobile network downloading data through the base station. 25 The connections offer security and benefits from services such as pay-as-you-drive insurance and vehicle diagnostics. 26,27 The cellular network connection has many advantages.…”

Section: Introductionmentioning

confidence: 99%

“…One mode enables direct communication between vehicles and infrastructure facilitating other road users (pedestrians, cyclists) 23,24 . The other mode involves the conventional mobile network downloading data through the base station 25 . The connections offer security and benefits from services such as pay‐as‐you‐drive insurance and vehicle diagnostics 26,27 .…”

Section: Introductionmentioning

confidence: 99%

Optimized blockchain network model for 6G cellular vehicle‐to‐everything communication

Bilgehan,

Sabuncu

2023

Trans Emerging Tel Tech

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Road safety of electric cars has required large and fast data flow. The six‐generation (6G) networks that provide hyper‐speed, ultra‐reliable, and minimal delay meet the requirements. Data reliability can be supported with popular blockchain technology, which is still widely accepted as a decentralized data management system. This article used an optimum path with the highest signal‐to‐noise constraints for the proposed algorithms. The essential requirement of error‐free data transmission for high‐speed and large data has been successfully implemented. Three‐stage implementations are suggested. The edge computers at the partners are used as storage to resolve the first level. A C‐V2X network solution is used to resolve the second level of economic activity. A two‐stage optimization strategy is used to consider the last level of high network transaction levels. The results of the newly introduced optimization algorithms are simulated and contrasted with those of a traditional, time‐consuming step‐by‐step calculation method. The introduced algorithms tested with real‐time experimental signal‐to‐noise ratio (SNR) and bit error rate (BER) values, giving successful results.

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“…Communication in VN includes Vehicle-to-Vehicle (V2V), Vehicleto-Infrastructure (V2I), and Vehicle-to-Pedestrian (V2P) communications [1]. There are two categories of communication technology: Dedicated Short-Range Communications (DSRC) and Long Term Evolution (LTE)-based Vehicle-to-Everything (V2X) technology (i.e., LTE-based V2X or LTE-V) [2], [3]. Following a specific communication protocol, a vehicular user can submit a report to the SP as a contributing worker and submit a request as a querier.…”

Section: Introductionmentioning

confidence: 99%

Privacy for 5G-Supported Vehicular Networks

Zhu

Zhang

et al. 2021

IEEE Open J. Commun. Soc.

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Vehicular networks allow billions of vehicular users to be connected to report and exchange real-time data for offering various services, such as navigation, ride-hailing, smart parking, traffic monitoring, and vehicular digital forensics. Fifth generation (5G) is a new radio access technology with greater coverage, accessibility, and higher network density. 5G-supported Vehicular Networks (5GVNs) have attracted plenty of attention from both academia and industry. Geared with new features, they are expected to revolutionize the mobility ecosystem to empower a portfolio of new services. Meanwhile, the development of such communication capabilities, along with the development of sensory devices and the enhancement of local computing powers, have lead to an inevitable reality of massive data (e.g., identity, location, and trajectory) collection from vehicular users. Unfortunately, 5GVN are still confronted with a variety of privacy threats. Such threats are targeted at users' data, identity, location, and trajectory. If not properly handled, such threats will cause unimaginable consequences to users.In this survey, we first review the state-of-the-art of survey papers. Next, we introduce the architecture, features, and services of 5GVN, followed by the privacy objectives of 5GVN and privacy threats to 5GVN. Further, we present existing privacy-preserving solutions and analyze them in-depth. Finally, we define some future research directions to draw more attention and down-toearth efforts into this new architecture and its privacy issues.

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Cellular-V2X Communications With Weighted-Power-Based Mode Selection

Cited by 7 publications

References 27 publications

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

Efficient Power-Splitting and Resource Allocation for Cellular V2X Communications

Optimized blockchain network model for 6G cellular vehicle‐to‐everything communication

Privacy for 5G-Supported Vehicular Networks

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