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20172020
most citedPareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.LG20201 cited

Pareto Deterministic Policy Gradients and Its Application in 5G Massive MIMO Networks

Zhou Zhou, Yan Xin, Hao Chen +2

In this paper, we consider jointly optimizing cell load balance and network throughput via a reinforcement learning (RL) approach, where inter-cell handover (i.e., user association…

eess.SP2020

Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD

Thomas Choi, François Rottenberg, Jorge Gomez-Ponce +4

Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems generally requires downlink pilots and f…

eess.SP2019

Performance Analysis of Channel Extrapolation in FDD Massive MIMO Systems

Francois Rottenberg, Thomas Choi, Peng Luo +2

Channel estimation for the downlink of frequency division duplex (FDD) massive MIMO systems is well known to generate a large overhead as the amount of training generally scales wi…

eess.SP2018

Real-Time Millimeter-Wave MIMO Channel Sounder for Dynamic Directional Measurements

C. Umit Bas, Rui Wang, Seun Sangodoyin +6

In this paper, we present a novel real-time multiple-input-multiple-output (MIMO) channel sounder for the 28 GHz band. Until now, most investigations of the directional characteris…

cs.IT2017

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Vinod Kristem, Seun Sangodoyin, C. U. Bas +7

3-dimensional Multiple-Input Multiple-Output (3D MIMO) systems have received great interest recently because of the spatial diversity advantage and capability for full-dimensional…