Gustavo de Veciana
Cullen Trust Professor
Wireless Networking and Communications Group (WNCG)
Department of Electrical and Computer Engineering
The University of Texas at Austin
Advising, Teaching and Plans
Group News and Publications
- For recent publications see my
- Jiaxiao Zheng (PhD 2019) received the Best Student Paper Award,
International Symposium on Modeling and Optimization in Mobile,
Ad Hoc, and Wireless Networks (WiOpt), June 2019.
- Yuhuan Du (PhD 2015) received Best-in-Session Presentation Award, for outstanding presentation in "Scheduling for Cloud Computing" session at Infocom 2016,
- My awesome Senior Design Team wins First Place in Honors Team Category.
ALFRED The Robot Home Assistant
Austin Texas, December 2015. (Thanks for taking me along for the ride!)
- Join us for the
Simons Conference on Networks and Stochastic Geometry
Austin Texas, May 18-21 2015.
- Virag Shah and G. de Veciana
awarded Best paper Award, IEEE INFOCOM 2014.
- Yuhuan Du (PhD 2015)
wins third place in TouchDevelop Mobile Code Jam Challenge, IEEE CCNC 2013.
- Philippe Girolami (MS 2000) in startup mode at
Sensorly creating wireless coverage maps. Click here to
try it out!
- Jeremy Chen (PhD 2007) heading up Google's
Public DNS service Click here to try it out!
- 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.