Interference Alignment

Interference Alignment Interference channels, where multiple transmit and receive user pairs communicate using the same radio resources, are a building block of wireless networks. The interference channel is a good model for communication in cellular networks, wireless local area networks, and ad-hoc networks. Conventional thinking about the interference channel is that each user pair has no information about other users in the network and therefore its optimum strategy is to be … Continue reading

Limited Feedback

Limited Feedback Wireless communication systems have improved efficiency in several dimensions in the past decade. One prominent change is the sweeping incorporation of multiple antennas, at both the transmitter and receiver, to achieve higher capacity, better quality, and resilience to interference through new modes of operation. A corresponding advance, resulting from increasing flexibility in the transmitter configuration, is algorithms that adapt the transmit strategy to the dynamic propagation environment. The … Continue reading

Upcoming Conferences

ITW 2014 Period: 11/02/2014-11/05/2014
Location: Hobart, Australia
Submission Deadline: May 11, 2014

Allerton 2014 Period: 10/01/2014-10/03/2014
Location: Allerton, IL, USA
Submission Deadline: July 7, 2014

INFOCOM 2015 Period: 04/26/2015-05/01/2015
Location: Kowloon, Hong Kong
Submission Deadline: July 11, 2014

WCNC 2015 Period: 03/09/2015 - 03/12/2015
Location: New Orleans, LA, USA
Submission Deadline: August 24, 2014


Received a 2014 IEEE Signal Processing Society Best Paper award for the paper R. W. Heath, Jr., Tao Wu, Young Hoon Kwon and A. C. K. Soong, ``Multiuser MIMO in Distributed Antenna Systems with Out-of-Cell Interference,'' IEEE Trans. on Signal Processing, vol. 59, no. 10, pp. 4885-4899, Oct. 2011. The award will be collected at ICASSP 2014 in Florence.

Professor Heath

Professor, Ph.D., P.E., IEEE Fellow

Cullen Trust Endowed Professor
Director of the Wireless Networking and Communications Group

Department of Electrical and Computer Engineering
The University of Texas at Austin