Coherence Time and Beam Alignment for mmWave Vehicular Communications

The goal of this project is to develop a learning based approach to significantly reduce the overhead leveraging side information including user positioning information and network geometry. After initial design, we use offline learning to construct an initial mapping from user feedback to the beam selection. During operation, new data are collected and used to refine the initial mapping. The online learning part can be viewed as a multi-armed bandit (MAB) problem and solved by leveraging the existing results on the subject.

Language

• English

Project

• Status: Completed
• Funding: $33000
• Contract Numbers:

  DTRT13-G-UTC58

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Bhat, Chandra

• Performing Organizations:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701
• Principal Investigators:

  Heath, Robert

• Start Date: 20140901
• Expected Completion Date: 20151031
• Actual Completion Date: 20151031
• Source Data: 107

Subject/Index Terms

• TRT Terms: Alignment; Learning; User interfaces (Computer science); Vehicle to infrastructure communications; Vehicle to vehicle communications; Wireless communication systems
• Subject Areas: Education and Training; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01579952
• Record Type: Research project
• Source Agency: Data-Supported Transportation Operations and Planning Center
• Contract Numbers: DTRT13-G-UTC58
• Files: UTC, RIP
• Created Date: Oct 29 2015 9:19AM