Simulation for "On the total energy efficiency of cell-free massive MIMO" by H. Q. Ngo, L.-N. Tran, T. Q. Duong, M. Matthaiou, E. G. Larsson, IEEE Trans. Green Commun. and Network., vol. 2, no. 1, pp. 25-39, Mar. 2018.
Simulation code for "Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2022.
Submitted paperwork
Allows to reproduce the figures and the appendix of the paper "Correctly Modeling TX and RX Chain in (Distributed) Massive MIMO - New Fundamental Insights on Coherency"
Using the Unsupervised NN (UnsupNN) to solve the vast majority of parametric optimizations
Design of experiments (DoE) and machine learning packages for the iCFree project
Long term study on cell-free massive MIMO for 6G communication.
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