Pilot Decontamination in Massive Multiantenna Systems

• Applicants: Professor Wolfgang Gerstacker; Professor Dr.-Ing. Ralf Reiner Müller
• Subject Area: Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: from 2014 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 251880705

• Final Report Year: 2020

Final Report Abstract

In our view, the results of this project are of significant relevance to 5G wireless communication systems which will employ massive MIMO for high data rate transmission. Our proposed methods are beneficial for massive MIMO channel estimation in order to eliminate the effect of pilot contamination. Our main focus in this project was on blind methods which exploit only the basic properties of the practical cases. In other words, we only assumes that the signals from different users are independent which is valid in most of the cases. If sparsity of the channel holds in some scenarios, then the joint utilization of SVD and sparse detection performs very well in the high SNR regime.

Publications

• "Blind Pilot Decontamination in Massive MIMO by Independent Component Analysis". IEEE Globecom Workshops (GC Wkshps), December 2017
  Amiri, Ebrahim, Müller, Ralf, and Gerstacker, Wolfgang
  
• "On the Evaluation of Blind Pilot Decontamination in Finite Dimensions". Workshop on Smart Antennas (WSA), March 2017
  Amiri, Ebrahim, Müller, Ralf, and Gerstacker, Wolfgang
  
• "Semi-Blind Channel Estimation in Massive MIMO by Mutual Information Rate as Contrast Function". Workshop on Smart Antennas (WSA), March 2018
  Amiri, Ebrahim, Müller, Ralf, and Gerstacker, Wolfgang
  
• "Semi-Blind Channel Estimation for Massive MIMO Systems Exploiting Low-Rank Matrix Reconstruction". International Symposium on Wireless Personal Multimedia Communications (WPMC), October 2020
  Amiri, Ebrahim, Müller, Ralf, and Gerstacker, Wolfgang