Towards Safe Automated Driving: Design of Software-Defined Dynamic MmWave V2X Networks and PoC Implementation

Li, Zongdian; Tao, Yu; Fukatsu, Ryuichi; Tran, Gia Khanh; Sakaguchi, Kei

doi:10.1109/ojvt.2021.3049783

Cited by 25 publications

(13 citation statements)

References 43 publications

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“…The isolation between close antenna parts is the most critical factor to consider while developing MIMO antennas. The millimeter wave (mmWave) [61,62,63,64] band is used in 5G and other wireless communication networks. Although the massive bandwidth available in this band allows for unparalleled throughput, it also has a higher propagation loss than the bands below 6 Ghz.…”

Section: Architecturementioning

confidence: 99%

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Ameur

Lakas

Bachir

et al. 2022

Vehicular Communications

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Section: Architecturementioning

confidence: 99%

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Ameur

Lakas

Bachir

et al. 2022

Vehicular Communications

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“…However, 700–900 Mbps was measured in the lab, which shows the potential of millimeter-wave communications. In [ 18 , 19 ], a proof-of-concept of cooperative perception using millimeter-wave communications was shown by sharing raw LiDAR sensor data. At the measurement part, the authors showed that approximately 900 Mbps was achieved.…”

Section: Related Workmentioning

confidence: 99%

Automated Driving with Cooperative Perception Based on CVFH and Millimeter-Wave V2I Communications for Safe and Efficient Passing through Intersections

Fukatsu

Sakaguchi

2021

Sensors

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The development of automated driving is actively progressing, and connected cars are also under development. Connected cars are the technology of connecting vehicles to networks so that connected vehicles can enhance their services. Safety services are among the main services expected in connected car society. Cooperative perception belongs to safety services and improves safety by visualizing blind spots. This visualization is achieved by sharing sensor data via wireless communications. Therefore, the number of visualized blind spots highly depends upon the performance of wireless communications. In this paper, we analyzed the required sensor data rate to be shared for the cooperative perception in order to realize safe and reliable automated driving in an intersection scenario. The required sensor data rate was calculated by the combination of recognition and crossing decisions of an automated driving vehicle to adopt realistic assumptions. In this calculation, CVFH was used to derive tight requirements, and the minimum required braking aims to alleviate the traffic congestion around the intersection. At the end of the paper, we compare the required sensor data rate with the outage data rate realized by conventional and millimeter-wave communications, and show that millimeter-wave communications can support safe crossing at a realistic velocity.

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“…The 5G NR at FR2 embodies the latest frontier of cellular technology, and its feasibility is corroborated by practical demonstrations [55,56,57,35,58,59]. The experimentation, jointly with theoretical studies on electromagnetic propagation, emphasize the need of Multiple-Input Multiple-Output (MIMO) antenna arrays as a mandatory hardware technology to confine spatial radiation through beamforming and compensate for high path loss.…”

Section: A Key Features Of 5g Nr Sidelinkmentioning

confidence: 99%

“…Position-assisted approaches rely on the information of position, which turns out to be of high relevance and allows to reach the correct alignment in few attempts. However, this information might not be available since it needs to be retrieved through a different interface, e.g., from sensing or signaling in FR1 [56,37,66]. Moreover, the accuracy should be taken into account as it may decrease the received SNR a showed in Fig.…”

Section: A Position-assisted Schemesmentioning

confidence: 99%

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

Mizmizi,

Linsalata,

Brambilla

et al. 2021

Preprint

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The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A radical transformation on the physical layer of vehicular communications is planned, with a paradigm shift towards beam-based millimeter Waves or sub-Terahertz communications, which require precise beam pointing for guaranteeing the communication link, especially in high mobility. A key design aspect is a fast and proactive Initial Access (IA) algorithm to select the optimal beam to be used. In this work, we investigate alternative IA techniques to fasten the current fifth-generation (5G) standard, targeting an efficient 6G design. First, we discuss cooperative position-based schemes that rely on the position information. Then, motivated by the intuition of a non-uniform distribution of the communication directions due to road topology constraints, we design two Probabilistic Codebook (PCB) techniques of prioritized beams. In the first one, the PCBs are built leveraging past collected traffic information, while in the second one, we use the Hough Transform over the digital map to extract dominant road directions. We also show that the information coming from the angular probability distribution allows designing non-uniform codebook quantization, reducing the degradation of the performances compared to uniform one. Numerical simulation on realistic scenarios shows that PCBs-based beam selection outperforms the 5G standard in terms of the number of IA trials, with a performance comparable to position-based methods, without requiring the signaling of sensitive information.Index termsvehicular communications; initial access; mmWaves; 5G NR; V2V; sidelink; 6G; beam-based communications I. INTRODUCTION Connected mobility is a flagship element of smart cities and a mandatory step in the evolution towards automated driving, to guarantee traffic safety, efficiency, user comfort and environmental sustainability [1,2,3,4]. Moreover, sales volume and market share of connected vehicles represent a radical breakthrough for telecommunication operators, unlocking new business models and strategies [5]. In this framework, vehicular communications represent the key technology to enable information sharing and thereby cooperation among road users, to augment the ego-vehicle sensing and control capabilities. The heterogeneity of envisioned mobility applications, spanning from driving-assistance to on-board entertainment [6], call for a vehicular network that is extremely reliable, fast and resilient.The European Telecommunications Standards Institute (ETSI) has identified connected services for active road safety and cooperative traffic efficiency, to be enabled by Vehicle-to-Everything (V2X) communications, either Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I), since 2009 [7]. Therein, the addressed use cases belong to the low levels of automation (levels 1 and 2, according to [1]), i.e., driver assistance and partial automation features. To en...

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Towards Safe Automated Driving: Design of Software-Defined Dynamic MmWave V2X Networks and PoC Implementation

Cited by 25 publications

References 43 publications

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Automated Driving with Cooperative Perception Based on CVFH and Millimeter-Wave V2I Communications for Safe and Efficient Passing through Intersections

Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks

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