Location-Aided mm-Wave Channel Estimation for Vehicular Communication

Nil Garcia1, Henk Wymeersch1, Erik G. Ström, Dirk Slock2

  • 1Chalmers University of Technology
  • 2EURECOM

Details

14:30 - 16:00 | Tue 5 Jul | Salisbury A | S4.1

Session: 5G technologies for D2D, M2M and V2V communications

Abstract

Millimeter-wave (mm-wave) communication is a promising technology for next-generation wireless systems. One challenging application lies in the vehicular domain, where mm-wave should support ultra-fast and high-rate data exchanges among vehicles and between vehicles and infrastructure. To achieve ultra-fast initial access between nodes, we propose a location-aided beamforming strategy and analyze the resulting performance in terms of antenna gain and latency. We find that location information can significantly speed up initial access.