research-article

Proof-of-Concept of a SDN Based mmWave V2X Network for Safe Automated Driving

Authors:

Ryuichi Fukatsu,

Gia Khanh Tran,

Kei SakaguchiAuthors Info & Claims

2019 IEEE Global Communications Conference (GLOBECOM)

Pages 1 - 6

https://doi.org/10.1109/GLOBECOM38437.2019.9014261

Published: 01 December 2019 Publication History

Abstract

Conventional wisdom to enhance driving safety of automated vehicles focuses on the massive deployments of intelligent sensors, which generate enormous amount of data. As the solution of 5G era, creating a highly connected vehicular network is considered more reliable to guarantee the driving safety because single vehicle is prone to estimation error with blocked vision. Millimeter- wave, which is one of the key enablers of 5G, is promising to provide multi-gigabit ultra-high data rate and millisecond-level ultra-low latency data transmission. At the same time, software defined networking (SDN), which has proved its ability of dynamic resource management in wired networks, attracts us to extend its advantages into the vehicular environment. In this paper, we enumerate the benefits of mmWave and SDN on the vehicular network. In order to highlight their benefit on driving safety, we propose an architecture of SDN- based mmWave V2X network for HD dynamic map reception and distribution, i.e., cooperative perception. In addition, a proof-of-concept (PoC) is practically conducted in an outdoor environment to validate the performances of the proposed system.

References

[1]

K. Sakaguchi et al., “Where, when, and how mmWave is used in 5G and beyond,” IEICE Trans. Electron., vol. E100.C, no. 10, pp. 790–808, Oct. 2017.

[2]

J. B. Kenney, “Dedicated Short-Range Communications (DSRC) Standards in the United States,” in Proceedings of the IEEE, vol. 99, no. 7, pp. 1162–1182, July 2011.

[3]

H. Seo et al., “LTE evolution for vehicle-to-everything services,” in IEEE Communications Magazine, vol. 54, no. 6, pp. 22–28, June 2016.

Digital Library

[4]

“Requirements for evolved UTRA and evolved UTRAN (Release 7)”, 3GPP, 2015.

[5]

A.D. Angelica, “Google's self-driving car gathers nearly 1GB/sec,” May 2013. Available online: http://www.kurzweilai.net/googles-self-driving-car-gathers-nearly-1-gbsec.

[6]

T. S. Rappaport et al., “Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!,” in IEEE Access, vol. 1, pp. 335–349, 2013.

[7]

J. Choi et al., “Millimeter-Wave Vehicular Communication to Support Massive Automotive Sensing,” in IEEE Communications Magazine, vol. 54, no. 12, pp. 160–167, December 2016.

Digital Library

[8]

V. Va, T. Shimizu, G. Bansal, R. W. Heath, “Millimeter Wave Vehicular Communications: A Survey”, Foundations Trends Netw., vol. 10, no. 1, pp. 1–113, 2016.

Digital Library

[9]

H. Nishiuchi, G. K. Tran and K. Sakaguchi, “Performance Evaluation of 5G mmWave Edge Cloud with Prefetching Algorithm - Invited Paper,” 2018 IEEE 87th VTC Spring, Porto, 2018, pp. 1–5.

[10]

Okasaka S, Weiler RJ, Keusgen W, Pudeyev A, Maltsev A, Karls I, Sakaguchi K. Proof-of-Concept of a Millimeter-Wave Integrated Heterogeneous Network for 5G Cellular. Sensors. 2016 Aug 25; 16(9): 1362.

[11]

G. Karagiannis et al., “Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions,” in IEEE Communications Surveys & Tutorials, vol. 13, no. 4, pp. 584–616, Fourth Quarter 2011.

[12]

I. Ku, Y. Lu, M. Gerla, R. L. Gomes, F. Ongaro and E. Cerqueira, “Towards software-defined VANET: Architecture and services,” 2014 13th MED-HOC-NET, Piran, 2014, pp. 103–110.

[13]

Z. He, J. Cao and X. Liu, “SDVN: enabling rapid network innovation for heterogeneous vehicular communication,” in IEEE Network, vol. 30, no. 4, pp. 10–15, July–August 2016.

Digital Library

[14]

K. Zheng, L. Hou, H. Meng, Q. Zheng, N. Lu and L. Lei, “Soft-defined heterogeneous vehicular network: architecture and challenges,” in IEEE Network, vol. 30, no. 4, pp. 72–80, July–August 2016.

Digital Library

[15]

R. Dos Reis Fontes, C. Campolo, C. Esteve Rothenberg and A. Molinaro, “From Theory to Experimental Evaluation: Resource Management in Software-Defined Vehicular Networks,” in IEEE Access, vol. 5, pp. 3069–3076, 2017.

[16]

R. R. Fontes, S. Afzal, S. H. Brito, M. A. Santos, C. E. Rothenberg, “Mininet-WiFi: Emulating software-defined wireless networks”, Proc. 11th Int. Conf. Netw. Service Manage. pp. 384–389, Sep. 2015.

[17]

K. Sakaguchi and R. Fukatsu, “Cooperative Perception Realized by Millimeter-Wave V2V for Safe Automated Driving,” 2018 APMC, Kyoto, 2018, pp. 180–182.

[18]

L. Kong, M. K. Khan, F. Wu, G. Chen and P. Zeng, “Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges,” in IEEE Communications Magazine, vol. 55, no. 1, pp. 62–68, January 2017.

Digital Library

[19]

T. Shimizu, V. Va, G. Bansal and R. W. Heath, “Millimeter Wave V2X Communications: Use Cases and Design Considerations of Beam Management,” 2018 APMC, Kyoto, 2018, pp. 183–185.

[20]

M. Giordani, A. Zanella and M. Zorzi, “Millimeter wave communication in vehicular networks: Challenges and opportunities,” 2017 6th MOCAST, Thessaloniki, 2017, pp. 1–6.

[21]

M. A. Salahuddin, A. Al-Fuqaha and M. Guizani, “Software-Defined Networking for RSU Clouds in Support of the Internet of Vehicles,” in IEEE Internet of Things Journal, vol. 2, no. 2, pp. 133–144, April 2015.

[22]

N. B. Truong, G. M. Lee and Y. Ghamri-Doudane, “Software defined networking-based vehicular Adhoc Network with Fog Computing,” 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), Ottawa, ON, 2015, pp. 1202–1207.

[23]

A. Mahmood, B. Butler and B. Jennings, “Towards Efficient Network Resource Management in SDN-Based Heterogeneous Vehicular Networks,” 2018 IEEE 42nd COMPSAC, Tokyo, 2018, pp. 813–814.

[24]

E. Guainella et al., “WiMAX technology support for applications in environmental monitoring, fire prevention and telemedicine,” 2007 IEEE Mobile WiMAX Symposium, Orlando, FL, 2007, pp. 125–131.

[25]

Open Daylight, https://www.opendaylight.org.

Cited By

Soto ICalderon MAmador OUrueña M(2022)A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologiesVehicular Communications10.1016/j.vehcom.2021.10042833:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.vehcom.2021.100428
Eriş MKantarci BOktug S(2021)Unveiling the Wireless Network Limitations in Federated Learning2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN53946.2021.9677285(262-267)Online publication date: 13-Dec-2021
https://dl.acm.org/doi/10.1109/DySPAN53946.2021.9677285

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Proof-of-Concept of a SDN Based mmWave V2X Network for Safe Automated Driving
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  1. Network architectures
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2019 IEEE Global Communications Conference (GLOBECOM)

6544 pages

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Published: 01 December 2019

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Cited By

Soto ICalderon MAmador OUrueña M(2022)A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologiesVehicular Communications10.1016/j.vehcom.2021.10042833:COnline publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1016/j.vehcom.2021.100428
Eriş MKantarci BOktug S(2021)Unveiling the Wireless Network Limitations in Federated Learning2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN53946.2021.9677285(262-267)Online publication date: 13-Dec-2021
https://dl.acm.org/doi/10.1109/DySPAN53946.2021.9677285

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