Gustavo de Veciana
Cockrell Family Regents Chair in Engineering Professor and Associate Chair
Department of Electrical and Computer Engineering
Wireless Networking and Communications Group (WNCG) The University of Texas at Austin
Advising, Teaching and Plans
351K Instructor (TA) zoom office hours: TuTh 11-11:50, W 3-3:50 (TAs see canvas)
351Kafe Social Zoom with Gustavo : see canvas/announcements.
Graduate student/research zoom office hours: M 10-10:50 (reserved, email me to get zoom link)
for alternative times do not hesitate to reach out.
I'm happy to give advice or help you figure out what might be the right questions.
I prefer to meet you in person. Prepare your thoughts and questions and drop by my office hours!
If need be, we can set up another time.
Vinay Joseph (PhD 2013) and G. de Veciana receive
Best Tech Talk Award 2011. Intel/Cisco Video-Aware Wireless Networks (VAWN) Conference,
"Rethinking Video Transport: Quality of Experience meets Multi-user
Rate Adaptation,'' October 2011.
Angel Cuevas, Manuel Uruena and G. de Veciana ,receive
Best Paper Award, ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems , October 2010.
Bilal Sadiq (PhD 2010) and G. de Veciana ,
receive Best Paper Award, 22nd International Teletraffic Congress (ITC22), September 2010.
Selected Ongoing Research
Spatial clustering of users.
Architecture and abstractions for environment and traffic aware system-level coordination of wireless networks.
We are exploring a system-level framework to mitigate interference using coarse grained coordination
of transmissions across base stations. Our approach is based on collecting and mining measured data
capturing a user population's diversity in sensitivity to interference -- see figure to the left.
Our research aims at developing abstractions and optimizations which enable such coordination
to depend on specific characteristics of the traffic and envronment the system is operating
under. Our results to date suggest not only improved performance (capacity), but decreased
average power requirements along with substantially more uniform wirless coverage.
Click on picture for more.
Spatial energy contours in sensor net.
Using stochastic geometry to better understand wireless and sensor networks.
One of our current reserach thrusts involves developing a better understanding of the spatial character
of wireless and sensor networks. For example we are investigating how spatially distributed, end systems,
wireless providers, sensors can interfere, compete or cooperate with each other to deliver better service.
For example by properly routing information in an ad hoc network of wireless sensor nodes one can
significantly reduce the energy expenditures. The figure on the left shows the energy contours
associated with different locations for a network of sinks, compressor nodes and sensors. As part
of our work we are investigating tradeoffs between compression, routing, and energy conservation.
Click on picture for more.