Message Passing for a Bayesian Semi-Blind Approach to Cell-Free Massive MIMO

Gholami R, Cottatellucci L, Slock D (2022)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2022

Journal

Conference Record of the Asilomar Conference on Signals, Systems and Computers Institute of Electrical and Electronics Engineers

Publisher: IEEE Computer Society

Pages Range: 1237-1241

Conference Proceedings Title: Conference Record of the 55th Asilomar Conference on Signals, Systems and Computers

Event location: Virtual, Pacific Grove, CA, USA US

ISBN: 978-1-6654-5829-0

DOI: 10.1109/IEEECONF53345.2021.9723203

Abstract

In this paper, we consider cell-free (CF) massive MIMO systems employing a massive number of access points (APs) geographically distributed over a wide area to jointly serve a smaller number of users over the same time-frequency resources. We consider semi-blind methods for channel estimation in the presence of Gaussian i.i.d. data to resolve the pilot contamination. This task is further aided by exploiting prior channel information in a Bayesian formulation. We propose a variable level expectation propagation (VL-EP) algorithm for message passing (MP) style semi-blind channel estimation which provides an approximate minimum mean square error (MMSE) channel estimator (which itself can not be found analytically). Numerical simulations verify the analytical derivations and the proposed algorithm.

Authors with CRIS profile

Laura Cottatellucci Professur für Digitale Übertragung

Involved external institutions

Institut Eurécom (EURECOM) FR France (FR)

How to cite

APA:

Gholami, R., Cottatellucci, L., & Slock, D. (2021). Message Passing for a Bayesian Semi-Blind Approach to Cell-Free Massive MIMO. In Michael B. Matthews (Eds.), Conference Record of the 55th Asilomar Conference on Signals, Systems and Computers (pp. 1237-1241). Virtual, Pacific Grove, CA, USA, US: IEEE Computer Society.

MLA:

Gholami, Roya, Laura Cottatellucci, and Dirk Slock. "Message Passing for a Bayesian Semi-Blind Approach to Cell-Free Massive MIMO." Proceedings of the 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021, Virtual, Pacific Grove, CA, USA Ed. Michael B. Matthews, IEEE Computer Society, 2021. 1237-1241.

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