You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
Codes for reproducing the numerical results reported in "Exponential Spatial Correlation with Large-Scale Fading Variations in Massive MIMO Channel Estimation" by Victor Croisfelt Rodrigues, José Carlos Marinello Filho, and Taufik Abrão. Transactions on Emerging Telecommunications Technologies. 2019;e3563.
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.
Codes for reproducing the numerical results reported in both: "Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation" by Victor Croisfelt Rodrigues, José Carlos Marinello Filho, and Taufik Abrão. Wiley International Journal of Communication Systems, 2019. "Kaczmarz Precoding and Detection for Mass…
This repository contains the Matlab code used to generate the results in the paper “Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars” https://ieeexplore.ieee.org/abstract/document/9760145