Wireless @ VTWelcome to the home of Wireless @ Virginia Tech, an exciting university-wide focus on wireless technology. Wireless @ VT is bringing together researchers, facilities, equipment, and expertise from across Virginia Tech to focus on multi-disciplinary solutions to "Invent the Future" of wireless.
Cognitive Engine for Adaptive Modulation
Justin Waugh and Daniel Amaury González-Pérez
Abstract— In this paper, we discuss the implementation and
results of a simple cognitive engine built for software defined
radios. This engine will learn about the environment and be able
to provide the modulation which should be used in order to,
during the communication, optimize the signal for throughput
and match a goal bit error rate for the transmission. The only
input to the engine is a running average of the Bit Error Rate
(BER) of previous transmissions and the expected signal-to-noise
ratio (in dB) of the transmission.
Signal Strength Geolocation using USRPs
Benjamin L. Blanton, Michael J. Solberg, Virginia Tech and Warren L. Rodgers, Jr., Georgia Tech
Abstract— This research was conducted to test the method of using the signal strength received by three Universal Software Radio Peripherals (USRPs) from a handheld transmitter to locate the position of that transmitter. By assuming that signal strengths are linear in the dB scale, the characteristic equations found through testing to find the distance from each USRP receiver were used. Through Trilateration and some basic knowledge of the system a unique position of the transmitter can be located. Even though the accuracy of the system fell short of our expectations, we identified several physical and environmental errors that could be corrected in future work.