Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges

He, Junjia; Radford, Andrew; Li, Laura; Xiong, Zhiliang; Tang, Zuoyin; Fu, Xiaoming; Leng, Supeng; Wu, Fan; Huang, Kaisheng; Huang, Jianye; Zhang, Jie; Zhang, Yan

doi:10.1109/icnp.2019.8888126

Cited by 35 publications

(12 citation statements)

References 14 publications

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“…V2X is a key enabler for autonomous vehicles which holds great promises in improving both road safety and traffic efficiency [28]. C-V2X is a standardized V2X solution specified by 3GPP to provide communication capability with low latency, high reliability, and high throughput for vehicle-to-vehicle (V2V), vehicle-to-pedestrian, vehicle-to-infrastructure, and vehicle-to-cloud.…”

Section: C-v2xmentioning

confidence: 99%

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

You

Wang

Huang

et al. 2020

Sci. China Inf. Sci.

1,216

495

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The fifth generation (5G) wireless communication networks are being deployed worldwide from 2020 and more capabilities are in the process of being standardized, such as mass connectivity, ultra-reliability, and guaranteed low latency. However, 5G will not meet all requirements of the future in 2030 and beyond, and sixth generation (6G) wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, etc. To meet these requirements, 6G networks will rely on new enabling technologies, i.e., air interface and transmission technologies and novel network architecture, such as waveform design, multiple access, channel coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing. Our vision on 6G is that it will have four new paradigm shifts. First, to satisfy the requirement of global coverage, 6G will not be limited to terrestrial communication networks, which will need to be complemented with non-terrestrial networks such as satellite and unmanned aerial vehicle (UAV) communication networks, thus achieving a space-air-ground-sea integrated communication network. Second, all spectra will be fully explored to further increase data rates and connection density, including the sub-6 GHz, millimeter wave (mmWave), terahertz (THz), and optical frequency bands. Third, facing the big datasets generated by the use of extremely heterogeneous networks, diverse communication scenarios, large numbers of antennas, wide bandwidths, and new service requirements, 6G networks will enable a new range of smart applications with the aid of artificial intelligence (AI) and big data technologies. Fourth, network security will have to be strengthened when developing 6G networks. This article provides a comprehensive survey of recent advances and future trends in these four aspects. Clearly, 6G with additional technical requirements beyond those of 5G will enable faster and further communications to the extent that the boundary between physical and cyber worlds disappears.

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Section: C-v2xmentioning

confidence: 99%

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

You

Wang

Huang

et al. 2020

Sci. China Inf. Sci.

1,216

495

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“…Furthermore, the positioning accuracy of autonomous vehicles may be impacted by issues like latency and packet loss in the underlying V2X communications networks; and in order to reduce the position errors and possible collisions, it is crucial to design suitable cooperative driving and merging strategies [195]. Another key issue to be addressed is to design robust and reliable cooperative sensing in order to effectively localize the surrounding and roadside objects detected by the onboard sensors and neighboring vehicles based on the available limited data-set [196]. Furthermore, DRL-enabled design of motion planning for autonomous vehicles, comprising trajectory planning, control and strategic decisions, is another promising area for future research, in which the main tasks to be designed include the environmental modeling, generating model abstractions, realization of underlying neural networks, and modeling of states, actions and rewards [197].…”

Section: ) Autonomous Vehicles and Cooperative Automated Drivingmentioning

confidence: 99%

Task-Oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications

Mostaani

Sharma

et al. 2022

IEEE Access

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Communication system design has been traditionally guided by task-agnostic principles, which aim at efficiently transmitting as many correct bits as possible through a given channel. However, in the era of cyber-physical systems, the effectiveness of communications is not dictated simply by the bit rate, but most importantly by the efficient completion of the task in hand, e.g., controlling remotely a robot, automating a production line or collaboratively sensing through a drone swarm. In parallel, it is projected that by 2023, half of the worldwide network connections will be among machines rather than humans. In this context, it is crucial to establish a new paradigm for designing communication strategies for multi-agent cyber-physical systems. This is a daunting task, since it requires a combination of principles from information, communication, control theories and computer science in order to formalize a general framework for task-oriented communication designs. In this direction, this paper reviews and structures the relevant theoretical work across a wide range of scientific communities. Subsequently, it proposes a general conceptual framework for task-oriented communication design, along with its specializations according to targeted use cases. Furthermore, it provides a survey of relevant contributions in dominant applications, such as industrial internet of things, multi-unmanned aerial vehicle (UAV) systems, autonomous vehicles, distributed learning systems, smart manufacturing plants, 5G and beyond self-organizing networks, and tactile internet. Finally, this paper also highlights the most important open research topics from both the theoretical framework and application points of view.INDEX TERMS Autonomous vehicles, cyber-physical systems, federated learning, industrial IoT, reinforcement learning, task-oriented communications, goal-oriented communications, multiagent systems, multi-UAV systems, 5G self-organized networks, smart manufacturing plants, tactile internet.

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“…Future personal mobility is developing towards Connected and Automated Mobility (CAM) solutions which include intelligent and self-driving vehicles, with a large research and engineering community investigating and overcoming the technical challenges in their development [1]. Although safest CAM solutions are expected to be fully self-supporting and autonomous, the ability to share and receive information from other vehicles or infrastructure holds promise to lead to advanced traffic and environment awareness as well as cooperative behaviour functions [2]. Modern vehicular communications cover an ever-growing range of techniques, use cases, and technical and legal Third Generation Partnership Project (3GPP) standards, from which it can benefit through effective multi-connectivity management [3], [4].…”

Section: Introductionmentioning

confidence: 99%

On-Campus Over-the-Air Millimeter-Wave Channel Evaluation for Connected and Automated Mobility

Kampert

Adegoke

Stuhlfauth

et al. 2021

2021 15th European Conference on Antennas and Propagation (EuCAP)

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High throughput wireless communication between vehicles and infrastructure will rely on millimeter-wave carriers and technology, which provide access to large bandwidths whilst still being able to establish stable links over distances of hundreds of meters. The work presented here, evaluates the quality of such signals in a mini-urban campus environment, by comparing detailed channel sounding results with signal quality parameters such as the error vector magnitude and the established data throughput. This provides insights into the relationships between fundamental parameters used to establish channel models and the quality of service parameters used in applications and standards. For the environment investigated, a strong threshold dependence of the signal quality on the received power is observed and explained in detail.

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Cooperative Connected Autonomous Vehicles (CAV): Research, Applications and Challenges

Cited by 35 publications

References 14 publications

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

Task-Oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications

On-Campus Over-the-Air Millimeter-Wave Channel Evaluation for Connected and Automated Mobility

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