Lecturer Section: Erik G. Larsson

Erik G. Larsson

Erik G. Larsson

Department of Electrical Engineering

Linkoping University

 

Title

Fundamentals of massive MIMO

 

Abstract

In this lecture we will discuss basic aspects of emerging massive MIMO technology for wireless communications.  The focus will be on the following specific matters:  How does massive MIMO work? What are the basic presumptions and limiting factors of massive MIMO? What makes massive MIMO fundamentally different from "conventional" MIMO? What is favorable propagation and when/why can we expect to have this?  We will also review some results on capacity prediction/bounds for the uplink and downlink, and techniques for hardware-friendly waveform shaping.

 

Bio

Erik G. Larsson received his Ph.D. degree from Uppsala University, Sweden, in 2002.  Since 2007, he is Professor and Head of the Division for Communication Systems in the Department of Electrical Engineering at Linkoping University (LiU) in Linkoping, Sweden. He has previously been Associate Professor (Docent) at the Royal Institute of Technology (KTH) in Stockholm, Sweden, and Assistant Professor at the University of Florida and the George Washington University, USA.

His main professional interests are within the areas of wireless communications and signal processing. He has published some 100 journal papers on these topics, he is co-author of the textbook Space-Time Block Coding for Wireless Communications (Cambridge Univ. Press, 2003) and he holds 10 patents on wireless technology.

He is Associate Editor for the IEEE Transactions on Communications and he has previously been Associate Editor for several other IEEE journals. He is a member of the IEEE Signal Processing Society SPCOM technical committee. He is active in conference organization, most recently as the Technical Chair of the Asilomar Conference on Signals, Systems and Computers 2012 and Technical Program co-chair of the International Symposium on Turbo Codes and Iterative Information Processing 2012. He received the IEEE Signal Processing Magazine Best Column Award 2012.