V2X Spectrum Resource Allocation for Sensing and Communications

It is expected that emerging wireless networks will be densified, and be able to support high throughput and low latency data along with infrastructure-supported sensing needs for vehicular traffic. Network densification, where dense overlapping spatial coverage is implemented using infrastructure nodes, is necessary to reliably support these needs. However, such densification will result in high energy usage, which is undesirable. The project develops a research agenda for managing infrastructure node states for switching between active and inactive states to save energy, and when active, dynamically switching between sensing and communications to effectively serve both objectives (e.g. objectives being low latency for communications, and mean-square error for sensing fidelity). In addition to fast time-varying channels, the challenge here is that mode switching incurs a penalty. When an infrastructure node’s state changes (e.g. between active and inactive), there are penalties due to state migration, signaling to update vehicle to infrastructure (V2I) associations (a vehicle needs to be re-associated with some other infrastructure node), and related backhaul costs. Further, some of these operations have a hysteresis penalty as well (time lag due to such migration processes). This motivates the need for new scheduling mechanisms, that dynamically manage infrastructure nodes, and overall guarantees good network performance.


  • English


  • Status: Completed
  • Contract Numbers:


  • 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

  • Principal Investigators:

    Shakkottai, Sanjay

  • Start Date: 20170101
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • Source Data: 147

Subject/Index Terms

Filing Info

  • Accession Number: 01634956
  • Record Type: Research project
  • Source Agency: Data-Supported Transportation Operations and Planning Center
  • Contract Numbers: DTRT13-G-UTC58
  • Files: UTC, RIP
  • Created Date: May 18 2017 9:13PM