Multi-antenna systems for 5G communications

Since the first contributions by Foschini and Telatar some fifteen years ago, it has become clear that the use of multiple antennas at the transmitter and receiver can significantly increase the performance of telecoms systems in terms of capacity. Multi-antenna systems, already used in the 802.11n (Wi-Fi) and LTE Advanced (4G) standards, are also planned for the future 5G standard, where base stations may be equipped with up to a hundred antennas.
The aim of this course is to cover the signal processing/digital communications techniques associated with multi-antenna systems. In the first part, entitled "Antenna processing", we will study a number of advanced statistical signal processing techniques for extracting information from signals received by a network of sensors. In particular, we will look at techniques for detecting and locating transmitting sources, and antenna focusing (beamfoming). The second part, entitled "MIMO systems", will focus on the contribution of multi-antenna systems to digital communications. In particular, we will look at pre-coding and space-time coding techniques, which exploit inherent spatial diversity to increase throughput and reduce transmission error rates.

TS226 (Channel coding), TS217 (Digital wireless communications)

* Chapter Antenna processing
I) Sensor array modeling
II) Spatial filtering
III) Source localization
IV) Source detection

* Chapter MIMO systems
I) MIMO channel modeling
II) Capacity and cutoff probability
III) Space-time codes and DMT
IV) Precoding for multi-user MIMO

Signal processing/Digital communications