Back to ECE News

2004 Annual Report

Head Letter

Chair Letter

Campus Tansformation

Beyond Imaging

Photonic Biomedicine

Cell Behavior

No-Kill Sensors

Laser Scanning

Hokie Suit

Software Design

ECE Research Update

Research News

Cognitive Radio

Network Game Theory

Hardware Middleware


High-Temp Sensor

Cell phone detector

Optical Cryptography

Shoot-Through Failures



R&D 100 Award

Electronic Noses

Distributed Generation


$1000 Elevator

Embedded Systems

Defect Tolerance

Efficiency Tools

Pervasive Networks

Video Networks

Networked Testbeds

Real-Time Solutions

2002/2003 Ph.D.s

2003 Patents




Special Report:
ECEs and Biomedicine

April 2004


Christian Rieser exhibits the system’s prototype channel sounder.

Radio based on human learning developed for emergency situations

Emergency Cognitive Radio: A new cognitive radio developed by Christian Rieser (Ph.D. ‘04) and Thomas Rondeau (Ph.D. ‘07) can provide robust communications in changing and unanticipated emergency situations. Quality of service is maintained even in the presence of jamming and interference. The radio’s novel algorithms are modeled on human learning and incorporate logic, randomness, and adaptive memory.

Researchers have developed a cognitive radio that uses algorithms modeling human learning to automatically optimize communications across wireless channels in unanticipated situations. The radio formalism is expected to be of particular use in emergency response situations and in military applications. Commercial applications may also benefit from the dynamic utilization of the spectrum.

The team, led by Charles Bostian, has implemented the formalism in a working broadband wireless cognitive radio testbed.The system uses smart transmitters and smart receivers embedded with a distributed cognitive engine based on a multi-tiered architecture. A broadband channel sounder senses and a Wireless Channel Genetic Algorithm (WCGA) models wireless channels at the waveform or symbol level. A Wireless System Genetic Algorithm (WSGA) performs on-the-fly evolution of the radio’s operational parameters, while a Cognitive System Monitor (CSM) handles the cognitive functions, short- and long-term memory and control.

The team is testing and improving the system and plans to extend the techniques to build a network testbed and apply the genetic algorithm approach to the MAC/Data Link Layer.

Privacy Statement | Contact Webmaster

© 2006 Virginia Tech Department of Electrical and Computer Engineering
Images on this site are the property of Virginia Tech.
They may not be used for commercial purposes.
Last updated: Wed, Jun 9, 2004