Towards mmWave V2X in 5G and Beyond to Support Automated Driving

Sakaguchi, Kei; Fukatsu, Ryuichi; Tao, Yu; Fukuda, Eriko; Mahler, Kim; Heath, Robert W.; Fujii, Takeo; Takahashi, Koichi; Khoryaev, Alexey; Nagata, Satoshi; Shimizu, Takayuki

doi:10.1587/transcom.2020ebi0001

Cited by 47 publications

(24 citation statements)

References 25 publications

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“…Moreover, in [117], the authors described the fundamental effect of reflection ratio on acoustic distance measurement (ADM) based on the comparison of two types of ADM. [8] utilized the tensor theory to develop a novel structure for the blind source separation (BSS) technique that can exploit the second-order statistic in terms of the tensor format. Recently, for sensing and monitoring technologies, mmWave is also a key component due to its higher bandwidths and higher potential data rates [222]. [19] presented an active mmWave imaging system using the leakywave focusing antenna to obtain a clearer image of conducting objects.…”

Section: Topicmentioning

confidence: 99%

Comprehensive Survey of Research on Emerging Communication Technologies from ICETC2020

Tachibana

2022

IEICE Trans. Commun.

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Section: Topicmentioning

confidence: 99%

Comprehensive Survey of Research on Emerging Communication Technologies from ICETC2020

Tachibana

2022

IEICE Trans. Commun.

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“…One of their key enablers is to explore the wireless communication techniques in higher frequency bands, such as the millimeter-Wave (mmWave) band, where the ultra-wide bandwidth enables ultra-high data-rate and ultra-low latency communications [3] [4]. MmWave communications are also expected to be applied into and deeply transform a variety of wireless applications such as Vehicle-to-Everything (V2X) communications and Internet of Things (IoT) [5] [6].…”

Section: Introductionmentioning

confidence: 99%

mmWave massive analog relay MIMO

Sakaguchi¹,

Yoneda²,

Iwabuchi³

et al. 2021

ITU-J FET

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Millimeter-Wave (mmWave) communications are a key technology to realize ultra-high data rate and ultra-low latency wireless communications. Compared with conventional communication systems in the microwave band such as 4G/LTE, mmWave communications employ a higher frequency band which allows a wider bandwidth and is suitable for large capacity communications. It is expected to be applied to various use cases such as mmWave cellular networks and vehicular networks. However, due to the strong diffraction loss and the path loss in the mmWave band, it is difficult or even impossible to achieve high channel capacity for User Equipment (UE) located in Non-Line-Of-Sight (NLOS) environments. To solve the problem, the deployment of relay nodes has been considered. In this paper, we consider the use of massive analog Relay Stations (RSs) to relay the transmission signals. By relaying the signals by a large number of RSs, an artificial Multiple-Input Multiple-Output (MIMO) propagation environment can be formed, which enables mmWave MIMO communications to the NLOS environment. We describe a theoretical study of a massive relay MIMO system and extend it to include multi-hop relays. Simulations are conducted, and the numerical results show that the proposed system achieves high data rates even in a grid-like urban environment.

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“…Among these services, we focused on the cooperative or collective perception which is one of the applications of the safety services to improve the safety of automated driving. Cooperative perception is a technology through which a vehicle can use sensor data obtained from other vehicles or RSUs through wireless communications [ 4 ]. The effect of cooperative perception comes from obtaining the sensor data of other perspectives so that the receiving vehicle can see through blind spots.…”

Section: Introductionmentioning

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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Towards mmWave V2X in 5G and Beyond to Support Automated Driving

Cited by 47 publications

References 25 publications

Comprehensive Survey of Research on Emerging Communication Technologies from ICETC2020

Comprehensive Survey of Research on Emerging Communication Technologies from ICETC2020

mmWave massive analog relay MIMO

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

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