Challenges and Solutions for Cellular Based V2X Communications

Gyawali, Sohan; Xu, Shengjie; Qian, Yi; Hu, Rose Qingyang

doi:10.1109/comst.2020.3029723

Cited by 290 publications

(129 citation statements)

References 111 publications

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“…Finally, a recent survey [11] reviewed current work and challenges on LTE and 5G to support V2X communications. The research presents several enabling technologies with challenges and solutions, LTE V2X architecture and operating scenarios, in addition to discussing open research issues and trends for 5G based vehicular communications.…”

Section: Discussionmentioning

confidence: 99%

On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey

2021

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5G technologies promise faster connections, lower latency, higher reliability, more capacity and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to-Everything (V2X) communications, which increase the safety and autonomy of vehicles in addition to road safety, saving energy and costs. The integration of vehicular communication systems and 5G is the subject of many research. Nowadays, researchers address challenges such as automated and intelligent networks, cloud and edge data processing, network management, virtualization, security, privacy and finally interoperability. This paper provides a survey of the latest V2X use cases including requirements, and various 5G enabling technologies under consideration for vehicular communications. Subsequently, we first provide an interesting mapping between the three 5G pillars and V2X use case groups. Then, we present a summary of potential applications of enabling technologies for V2X use case groups. Finally, the open directions of research are discussed, and the challenges that await to be met are pointed out.

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Section: Discussionmentioning

confidence: 99%

On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey

2021

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“…Yet, these works do not include any, or they report a very limited, discussion of the related research literature, which has instead flourished in the latest years, recognizing the pivotal role of sidelink in targeting reliability and latency demands of vehicular applications. An analysis on the literature review is only provided in [18]- [20], which however address V2X in a broad scope and have a very marginal focus on the sidelink.…”

Section: A Roadmap Of 3gpp C-v2x Sidelink Specificationsmentioning

confidence: 99%

“…• the lower bound on the selection window size, which is determined by the packet delay budget (T 2 ), depends on the TB priority and the SCS value, according to [1,5,10,20] • 2 µ slots, so that Mode 2 can guarantee 1 ms minimum latency compared to 10 ms of Mode 4; • the RSRP threshold is a function of the transmitting TB's and the reserved TBs' priorities. Thus, a higher priority transmission can occupy resources which were reserved by another sender with sufficiently low RSRP and sufficiently lower-priority traffic; • a vehicle randomly selects its resources from the CSSRs that remain available after the exclusion of those that are both reserved and have an RSRP exceeding a given threshold.…”

Section: ) Traffic Prioritizationmentioning

confidence: 99%

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

et al. 2021

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Connected and fully automated vehicles are expected to revolutionize our mobility in the near future on a global scale, by significantly improving road safety, traffic efficiency, and traveling experience. Enhanced vehicular applications, such as cooperative sensing and maneuvering or vehicle platooning, heavily rely on direct connectivity among vehicles, which is enabled by sidelink communications. In order to set the ground for the core contribution of this paper, we first analyze the main streams of the cellular-vehicle-to-everything (C-V2X) technology evolution within the Third Generation Partnership Project (3GPP), with focus on the sidelink air interface. Then, we provide a comprehensive survey of the related literature, which is classified and critically dissected, considering both the Long-Term Evolutionbased solutions and the 5G New Radio-based latest advancements that promise substantial improvements in terms of latency and reliability. The wide literature review is used as a basis to finally identify further challenges and perspectives, which may shape the C-V2X sidelink developments in the next-generation vehicles beyond 5G.INDEX TERMS 5G, Cellular-vehicle-to-everything, literature review, new radio, sidelink.

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“…The last few years have witnessed the advent of the vehicle to everything (V2X) communications deployed in the millimeter-wave (mmWave) band as a means to circumvent the spectrum shortage needed to satisfy the stringent requirements of 5G networks.V2X communications have been initially designed to support active safety and traffic management services. The development of more advanced connected and automated applications requires the exchange of larger amounts of data [1]. For example, automated driving or vehicle formation will require vehicles to exchange raw or processed data of their built-in sensors to improve their perception of the surrounding environment [2,3].…”

Section: Introductionmentioning

confidence: 99%

Sparse Bayes Tensor and DOA Tracking Inspired Channel Estimation for V2X Millimeter Wave Massive MIMO System

Luo

Zhou

Wang

et al. 2021

Sensors

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Efficient vehicle-to-everything (V2X) communications improve traffic safety, enable autonomous driving, and help to reduce environmental impacts. To achieve these objectives, accurate channel estimation in highly mobile scenarios becomes necessary. However, in the V2X millimeter-wave massive MIMO system, the high mobility of vehicles leads to the rapid time-varying of the wireless channel and results in the existing static channel estimation algorithms no longer applicable. In this paper, we propose a sparse Bayes tensor and DOA tracking inspired channel estimation for V2X millimeter wave massive MIMO system. Specifically, by exploiting the sparse scattering characteristics of the channel, we transform the channel estimation into a sparse recovery problem. In order to reduce the influence of quantization errors, both the receiving and transmitting angle grids should have super-resolution. We obtain the measurement matrix to increase the resolution of the redundant dictionary. Furthermore, we take the low-rank characteristics of the received signals into consideration rather than singly using the traditional sparse prior. Motivated by the sparse Bayes tensor, a direction of arrival (DOA) tracking method is developed to acquire the DOA at the next moment, which equals the sum of the DOA at the previous moment and the offset. The obtained DOA is expected to provide a significant angle information update for tracking fast time-varying vehicular channels. The proposed approach is evaluated over the different speeds of the vehicle scenarios and compared to the other methods. Simulation results validated the theoretical analysis and demonstrate that the proposed solution outperforms a number of state-of-the-art researches.

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Challenges and Solutions for Cellular Based V2X Communications

Cited by 290 publications

References 111 publications

On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey

On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

Sparse Bayes Tensor and DOA Tracking Inspired Channel Estimation for V2X Millimeter Wave Massive MIMO System

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