Massive MIMO

  Lecture
Lecturer Dr.-Ing. Jakob Hoydis
Date

starts on Thu 20.04.2017, 3pm
NOTE, that the course will be given in THREE blocks, each consisting of one Thu-afternoon session of 3 hours, and one (next day) Fri morning session of 3 hours; the first block will be Thu/Fri 20./21.04.2017; the rest as follows:
Block 2: 18/19.05
Block 3: 22/23.06

Lecture hall Pfaffenwaldring 47, room 2.348
Extent 2 credit hours, 3 credit points
Language English
Learning outcome

This course will (1) teach the fundamental theory, design choices and properties of Massive MIMO; (2) provide an intuitive understanding of the state-of-the-art results on spectral efficiency, energy efficiency, and hardware impairments and their practical implications; (3) identify the main differences between massive MIMO and classical MIMO technology; (4) explain which are the open problems that need to be resolved by engineers.

Content
  • Cellular networks and ways to improve the area throughput
  • Definition of a canonical massive MIMO system
  • Channel estimation, pilot contamination, and the impact of spatial channel correlation
  • Precoding and detection
  • Spectral efficiency bounds with imperfect channel knowledge
  • Energy efficiency
  • Hardware efficiency
  • Power and spatial resource allocation
  • Channel modeling
  • Array deployment
  • Case studies
Literature
  • Emil Björnson, Jakob Hoydis and Luca Sanguinetti (2017), "Massive MIMO Networks" Foundations and Trends in Signal Processing, to appear
Example figure from lecture

 

 lecture_hoydis_teaser_colorful

Single cell scenario in a Massive MIMO system

Material ILIAS, Students will receive an electronic version of the book on which the lecture is based as well as the lecture notes

Module description in LSF