Angel Lozano

Universitat Pompeu Fabra, Spain

Angel Lozano

Universitat Pompeu Fabra, Spain


Angel Lozano received a Ph.D. degree from Stanford University in 1998. In 1999, he joined Bell Labs, where he was a member of the Wireless Communications Department until 2008. Between 2005 and 2008 he was also an Adjunct Associate Professor at Columbia University.

Prof. Lozano is a Fellow of the IEEE, an editor for the IEEE ComSoc Technology News, an area editor for the IEEE Transactions on Wireless Communications, and a former editor for various other journals. He is the coauthor of the textbook “Foundations of MIMO Communication,” released by Cambridge University Press in 2019. His papers have received several awards, including the 2009 Stephen O. Rice prize to the best paper published in the IEEE Transactions on Communications, the 2016 Fred W. Ellersick prize to the best paper published in the IEEE Communications Magazine, and the 2016 Communications Society & Information Theory Society joint paper award. He also an ERC Advanced Grant for 2016-2021 and was a 2017 Highly Cited Researcher.

Keynote: “Line-of-Sight MIMO: An Old Theory Up to New Tricks
Abstract: We are in the midst of a tidal transformation in the conditions in which wireless systems operate, with a determined push towards much higher frequencies (today mmWave, tomorrow sub-terahertz), with shrinking transmission ranges, and with much denser antenna arrays. This is stretching, even breaking, time-honored modelling assumptions such as that of planar wavefronts over the span of each individual array. And, once the local curvature of those wavefronts is revealed, a new opportunity arises for spatial multiplexing without any need for scattering or for multipath components, conveniently relying only on the line-of-sight propagation that tends to dominate at those high frequencies and over short ranges.

This presentation dwells on the physical underpinnings of this phenomenon, on how it can be harnessed for communication purposes, and on its potential implications for future systems.

All sessions by Angel Lozano

Phd School – December 1

01 Dec 2021
09:30 - 13:30

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