Neuron Design in Neuromorphic Computing Systems and Its Application in Wireless Communications

Abstract

The objective of this effort is to: (a) develop novel and fundamental methodologies for data representation using hardware spike timing dependent encoding for neuromorphic processors; (b) explore the applications of neuromorphic computing in channel estimation for the Multiple-Input and Multiple-Output (MIMO) communications. This project will introduce an interdisciplinary approach for exploring the application of neuromorphic computing in wireless communications. This will bridge high-performance computing, nanotechnology, and telecommunications, as well as improve the computational efficiency and accuracy of channel estimation in MIMO communications. The projects envisioned architecture will serve as the foundation for unprecedented capabilities in real-time applications such as the MIMO channel estimation that fall within Air Force Research Lab (AFRL) communication and computing consolidated programs.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2017
Accession Number
AD1030758

Entities

People

  • Yi Yang

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • 4G Wireless Networks
  • Air Force
  • Channel Estimation
  • Coding
  • Communication Channels
  • Communication Systems
  • Complementary Metal-Oxide Semiconductors
  • Computational Science
  • Computer Programming
  • Computers
  • Modulation
  • Multiple Input Multiple Output
  • Neural Networks
  • Orthogonal Frequency Division Multiplexing
  • Recurrent Neural Networks
  • Reservoir Computing
  • Wireless Communications

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radio communications and signal processing.

Technology Areas

  • Biotechnology