Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks

Zheng, Kan; Zheng, Qiang; Yang, Haojun; Zhao, Long; Hou, Lu; Chatzimisios, Periklis

doi:10.1109/mcom.2015.7355569

Cited by 87 publications

(39 citation statements)

References 11 publications

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“…ud,ji = β V2V ud,ji h V2V ud,ji ∈ C N ×1 denote the channel vector spanning from the i-th V2V transmitter on the j-th road to the d-th V2V receiver on the u-th road, where β V2V ud,ji and h V2V ud,ji represent the large-scale fading and small-scale fading, respectively. The large-scale fading is given by β V2V ud,ji = θ(d V2V ud,ji ) −α , where θ is a constant related to the antenna gain and 1 In this paper, we take the underlay mode as a general scenario to analyze and optimize the performance of the V2V URLLC system [9], [10], [13]. The overlay mode can be regarded as a special case of the underlay mode.…”

Section: ) V2v Channel: Let G V2vmentioning

confidence: 99%

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Yang

Zheng

Qian

2020

IEEE Trans. Wireless Commun.

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The rapid development of the fifth generation mobile communication systems accelerates the implementation of vehicle-to-everything communications. Compared with the other types of vehicular communications, vehicle-to-vehicle (V2V) communications mainly focus on the exchange of driving safety information with neighboring vehicles, which requires ultra-reliable and low-latency communications (URLLCs). However, the frame size is significantly shortened in V2V URLLCs because of the rigorous latency requirements, and thus the overhead is no longer negligible compared with the payload information from the perspective of size. In this paper, we investigate the frame design and resource allocation for an urban V2V URLLC system in which the uplink cellular resources are reused at the underlay mode. Specifically, we first analyze the lower bounds of performance for V2V pairs and cellular users based on the regular pilot scheme and superimposed pilot scheme. Then, we propose a frame design algorithm and a semi-persistent scheduling algorithm to achieve the optimal frame design and resource allocation with the reasonable complexity. Finally, our simulation results show that the proposed frame design and resource allocation scheme can greatly satisfy the URLLC requirements of V2V pairs and guarantee the communication quality of cellular users. Index TermsVehicular networks (VNET), vehicle-to-vehicle (V2V), ultra-reliable and low-latency communications (URLLC), finite blocklength theory, massive MIMO. Haojun Yang and Kan Zheng are with the Intelligent Computing and Communications (IC 2 ) Lab, Wireless Signal Processing and Networks (WSPN) Lab,

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Section: ) V2v Channel: Let G V2vmentioning

confidence: 99%

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Yang

Zheng

Qian

2020

IEEE Trans. Wireless Commun.

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“…For example, VANETs support a variety of services and achieve success in a certain aspect such as vehicular collision avoidance system using vehicle-to-vehicle or vehicle-to-infrastructure communication [4]. However, its inherent defects such as unbalanced traffic flow and low bandwidth impact the deployment of urban-traffic management.…”

Section:  Traffic Prediction and Real-time Responsivenessmentioning

confidence: 99%

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

et al. 2017

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Abstract:With the increasing number of vehicle and traffic jams, the urban-traffic management is becoming a serious issue. In this article, we propose novel four-tier architecture for urban-traffic management with the convergence of vehicle ad hoc networks (VANETs), 5G wireless network, software-defined network (SDN), and mobile-edge computing (MEC) technologies. The proposed architecture provides better communication and rapider responsive speed in a more distributed and dynamic manner. The practical case of rapid accident rescue can significantly cut down the time for rescue. Key technologies with respect to vehicle localization, data pre-fetching, traffic lights control, and traffic prediction are also discussed. Obviously, the novel architecture shows noteworthy potential for alleviating the traffic congestion and improving the efficiency of urban-traffic management.

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“…Attention is devoted to high precision positioning [110,111] for quality of applications enhancements and cooperative transmission [112][113][114] to improve channel allocation and resource management in network infrastructure such as base stations and relays. Heterogeneous vehicular networks are also considered [115], where heterogeneity may be in wireless access technologies [116], vertical handovers [117], architectures, and autonomous driving [118]. Attention is also devoted to information acquisition [119] (also with crowd sensing [120,121]) and to information dissemination [122][123][124].…”

Section: Overview Of the Research In Infrastructure-based Vehicular Nmentioning

confidence: 99%

A Survey on Infrastructure-Based Vehicular Networks

Silva¹,

Masini²,

Ferrari³

et al. 2017

Mobile Information Systems

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The infrastructure of vehicular networks plays a major role in realizing the full potential of vehicular communications. More and more vehicles are connected to the Internet and to each other, driving new technological transformations in a multidisciplinary way. Researchers in automotive/telecom industries and academia are joining their effort to provide their visions and solutions to increasingly complex transportation systems, also envisioning a myriad of applications to improve the driving experience and the mobility. These trends pose significant challenges to the communication systems: low latency, higher throughput, and increased reliability have to be granted by the wireless access technologies and by a suitable (possibly dedicated) infrastructure. This paper presents an in-depth survey of more than ten years of research on infrastructures, wireless access technologies and techniques, and deployment that make vehicular connectivity available. In addition, we identify the limitations of present technologies and infrastructures and the challenges associated with such infrastructure-based vehicular communications, also highlighting potential solutions.

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Reliable and efficient autonomous driving: the need for heterogeneous vehicular networks

Cited by 87 publications

References 11 publications

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

Joint Frame Design and Resource Allocation for Ultra-Reliable and Low-Latency Vehicular Networks

High-Efficiency Urban Traffic Management in Context-Aware Computing and 5G Communication

A Survey on Infrastructure-Based Vehicular Networks

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