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demonstration

Field tests and indoor emulation of distributed autonomous multi-hop vehicle-to-vehicle communications over TV white space

Published: 04 February 2013 Publication History

Abstract

Vehicular networking has significant potential to enable diverse range of applications, including safety and convenience. As the number of vehicles and applications using the specially designated wireless spectrum grow, one can expect substantial increase in the bandwidth requirements. In this paper and demonstration, we advocate that dynamic spectrum access techniques facilitating the utilization of white spaces for vehicles will be the first step towards solving the expected spectrum shortage. In the demonstration, we will introduce field tests of a multi-hop inter-vehicle communication system with distributed and autonomous TV white space channel selection, performed in Japan from January to February 2012. Furthermore, in addition to the field test videos, we will show an indoor emulation of the entire system used during the field tests in the vehicles.

References

[1]
P. Papadimitratos, A. de La Fortelle, K. Evenssen, and R. Bringnolol, "Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation," IEEE Communications Magazine, vol. 47, 84--95, 2009.
[2]
G. Karagiannis, O. Altintas, E. Ekici, G. Heijenk, B. Jarupan, K. Lin and T. Weil, "Vehicular Networking: A Survey and Tutorial on Requirements, Architectures, Challenges, Standards and Solutions," IEEE Communications Surveys & Tutorials, vol. 13, no. 4, 584--616, 2011
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J. Mitola III, "Cognitive radio for flexible mobile multimedia communications", in Proc. IEEE International Workshop on Mobile Multimedia Communications, vol. 1, 3--10, San Diego, CA, USA, Nov. 1999.
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S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE Journal on Selected Areas in Communications, vol. 23, pp. 201--220, Feb. 2005.
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K. Tsukamoto, S. Matsuoka, O. Altintas, M. Tsuru and Y. Oie, "Distributed channel coordination in cognitive wireless vehicle-tovehicle communications," in Proc. International Conf. on Wireless Access in Vehicular Environment (WAVE 2008), Dec. 2008, Dearborn, MI, USA.
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K. Tsukamoto, Y. Omori, O. Altintas, M. Tsuru and Y. Oie, "On spatially-aware channel selection in dynamic spectrum access multi-hop inter-vehicle communications," in Proc. IEEE VTC 2009-Fall, Sept. 2009, Anchorage, AK, USA.
[7]
H. Kremo, R. Vuyyuru and O. Altintas, "Spectrum Sensing in the Vehicular Environment: An Overview of the Requirements," SDR'12-WInnComm-Europe, June 2012, Brussels, Belgium.
[8]
O. Altintas, M. Nishibori, O. Takuro, Y. Ihara, M. Saito, R. Vuyyuru, C. Yoshimura, Y. Fujii, K. Nishida, K. Tsukamoto, M. Tsuru, Y. Oie, A. Al Abbasi, M. Ohtake, M. Ohta, T. Fujii, S. Chen, S. Pagadarai and A.M. Wyglinski, "Demonstration of Vehicle to Vehicle Communications over TV White Space," Proc. IEEE WiVeC 2011, Sept. 2011, San Francisco, CA, USA.

Cited By

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  • (2022)A survey on vehicular communication for cooperative truck platooning applicationVehicular Communications10.1016/j.vehcom.2022.10046035:COnline publication date: 1-Jun-2022
  • (2021)Dynamic spectrum access based simultaneous non-contiguous OFDM radar sensing and communicationMicrosystem Technologies10.1007/s00542-019-04444-w27:2(379-385)Online publication date: 1-Feb-2021
  • (2021)IoT‐Based Intelligent Transportation System for SafetyCloud and IoT‐Based Vehicular Ad Hoc Networks10.1002/9781119761846.ch3(47-65)Online publication date: 3-May-2021
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Published In

cover image ACM SIGMOBILE Mobile Computing and Communications Review
ACM SIGMOBILE Mobile Computing and Communications Review  Volume 16, Issue 4
October 2012
64 pages
ISSN:1559-1662
EISSN:1931-1222
DOI:10.1145/2436196
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 February 2013
Published in SIGMOBILE Volume 16, Issue 4

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Cited By

View all
  • (2022)A survey on vehicular communication for cooperative truck platooning applicationVehicular Communications10.1016/j.vehcom.2022.10046035:COnline publication date: 1-Jun-2022
  • (2021)Dynamic spectrum access based simultaneous non-contiguous OFDM radar sensing and communicationMicrosystem Technologies10.1007/s00542-019-04444-w27:2(379-385)Online publication date: 1-Feb-2021
  • (2021)IoT‐Based Intelligent Transportation System for SafetyCloud and IoT‐Based Vehicular Ad Hoc Networks10.1002/9781119761846.ch3(47-65)Online publication date: 3-May-2021
  • (2018)Sensor Technologies for Intelligent Transportation SystemsSensors10.3390/s1804121218:4(1212)Online publication date: 16-Apr-2018
  • (2017)TV White Space Enabled Connected Vehicle Networks: Challenges and SolutionsIEEE Network: The Magazine of Global Internetworking10.1109/MNET.2017.1600049NM31:3(6-13)Online publication date: 25-May-2017
  • (2017)A seven-layered model architecture for Internet of VehiclesJournal of Information and Telecommunication10.1080/24751839.2017.12956011:1(4-22)Online publication date: 2-Mar-2017
  • (2016)Design and Experimental Evaluation of a Database-Assisted V2V Communications System Over TV White SpaceJournal of Signal Processing Systems10.1007/s11265-015-1035-z83:1(45-55)Online publication date: 1-Apr-2016
  • (2015)Implementation and Performance Evaluation of Distributed Autonomous Multi-Hop Vehicle-to-Vehicle Communications over TV White SpaceMobile Networks and Applications10.1007/s11036-015-0576-520:2(203-219)Online publication date: 1-Apr-2015
  • (2014)Vehicles as Information Hubs During Disasters: Glueing Wi-Fi to TV White Space to Cellular NetworksIEEE Intelligent Transportation Systems Magazine10.1109/MITS.2013.22926536:1(68-71)Online publication date: Sep-2015
  • (2014)Connected Vehicles: Solutions and ChallengesIEEE Internet of Things Journal10.1109/JIOT.2014.23275871:4(289-299)Online publication date: Aug-2014

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