Measurement and Modeling of Broadband Millimeter-Wave Signal Propagation Between Intelligent Vehicles

Details

• Creators:
  Molisch, Andreas F ; Hammoud, Hussein ; Zhang, Yuning
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; Pacific Southwest Region 9 UTC, University of Southern California
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Autonomous vehicles
  • Broadband
  • Connected vehicles
  • Intelligent vehicles
  • Millimeter wave communication systems
  • Vehicle to vehicle communications
  • Safety
  • Wireless communication systems Inter-vehicle Coordination
• Publication/ Report Number:
  PSR-18-08
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final White Paper (Sept. 2017 – March 2019)
• Corporate Publisher:
  METRANS Transportation Center (Calif.)
• Abstract:
  Communications between vehicles is one of the most important prerequisites for inter-vehicle coordination, a key feature needed to enable autonomous and semi-autonomous driving, from an efficiency, convenience and safety perspective. Such communication will have to be done with very low latency, which lead the industry into looking at mm-wave bands, where much larger chunks of bandwidth are available. To understand the different implications of mm-wave propagation in Vehicle-to-Vehicle scenarios (V2V), channel sounders have to be built, and double-directional channel models have to be extracted, in a wide variety of scenarios and environments. In the line of this project, the authors perform measurement campaigns for a variety of situations, based on a novel channel sounder capable of measuring a full double-directional channel. The authors also provide extracted parameters such as the directional RMS delay spread and angular spreads on both Tx and Rx, that are a requirement for intelligent vehicles system development.
• Format:
  PDF
• Funding:
  69A3551747109
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56363/dot_56363_DS1.pdf
• File Type:
  [PDF - 12.48 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:f4303af46965c531ea4d0925b698fe046ccaad4185eca9d70bd409ef41a00fe62ee078132a425d30ba9a552b0061fc14f383faf670ca245ff705f45e9a451509