Millimeter Wave Mobile Ad Hoc Networks with Side Information

Abstract

Millimeter wave communication will allow gigabits-per-second data rates in mobile ad hoc networks. This is enabled by the large bandwidths available at millimeter wave frequencies couple with the beamforming gain from large (but physically small) antenna arrays. Millimeter wave is a practical technology, which has now been incorporated into personal area, local area, and cellular networks. Unfortunately, high mobility remains a main challenge in configuring the antenna arrays. The objective of this research effort is to leverage side information to design efficient and robust millimeter wave mobile ad hoc networks. For example, position and motion information can be used to refine the process of beam training, allowing the transmitter and receiver to quickly agree on a mutually good beam pair without searching over all possible pairs. In one research direction, the focus is on developing an analog beamforming framework which incorporates various types of side information. This will result in coherent and non-coherent beam training and neighbor discovery algorithms that reduce the setup and tracking time. In a second research direction, the emphasis is placed on enabling more elaborate multiple-input multiple-output beamforming capabilities. This will result in side-information-aided hybrid beam training algorithms, which provide higher spectral efficiency and benefit to higher layers in the form of neighbor discovery and tracking. Both research directions leverage tools from signal processing and machine learning, with evaluations in the context of other state-of-the-art networks. The end result will be millimeter wave mobile ad hoc networks that achieve a high fraction of their theoretical potential in practice, providing tactical networks that offer much higher data rates than achieved with conventional technologies.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 08, 2019
Source ID
W911NF1910221

Entities

People

  • Robert W. Heath Jr.

Organizations

  • Army Contracting Command
  • United States Army
  • University of Texas at Austin

Tags

Readers

  • Computer Networking
  • Distributed Systems and Data Platform Development
  • Phased Array Antenna Design.

Technology Areas

  • 5G
  • 5G - Internet of Things
  • AI & ML
  • AI & ML - Neural Networks