Intelligent Digital Communications

2014 ~ Present | Georgia Tech Athletic Association, L3Harris Technologies, Cisco Systems

Goals

To enhance spectrum utilization, enable improved use of smart devices (smartphones, tablets), and create intelligent mechanisms for debugging, monitoring, policing, and enhancing all types of wireless communications through the use of software defined radio techniques, machine learning, digital signal processing, and RF communication technologies.

Traditionally, wireless communications systems use dedicated hardware to implement the telecommunications coding, decoding, and signal analysis to create a useable data channel. As RF spectrum becomes increasingly scarce, and devices become more intelligent, using a software implementation and taking a cognitive systems approach to their design and operation will allow significantly increased flexibility in how spectrum is used and how smart devices interact.

Issues Involved or Addressed

Spectrum utilization and security in wireless channels, computation performance of software radios, identifying specific wireless devices in high density environments, multi-node software radio sensornets, distributed detection/estimation, reusability.

Methods and Technologies

  • Machine Learning
  • Signal Processing and Communications
  • Software Defined Radios/Networks
  • Cognitive Systems
  • Embedded Systems
  • FPGAs
  • Drones

Academic Majors of Interest

  • BusinessIT Management
  • BusinessStrategy and Innovation
  • ComputingComputational Media
  • ComputingComputer Science
  • EngineeringComputer Engineering
  • EngineeringElectrical Engineering
  • EngineeringMechanical Engineering
  • Online MastersAnalytics synchronous
  • Online MastersComputer Science synchronous
  • Other

Preferred Interests and Preparation

EE, CmpE – Background/interest in networking, wireless communication, embedded systems, FPGAs, machine learning, or drones. Programming skills very helpful. CmpE, CS, CM – Background/interest in networks and communications, machine learning, embedded systems, or network/data security.

Meeting Schedule & Location

Time 
2:00-2:50
Meeting Location 
VL 465
Meeting Day 
Friday

Team Advisors

Dr. Edward Coyle
  • Electrical and Computer Engineering

Partner(s) and Sponsor(s)

Georgia Tech Athletic Association, L3Harris Technologies, Cisco Systems