Name
Affiliation
Papers
ALEXIS DECURNINGE
Université Pierre et Marie curie
21
Collaborators
Citations 
PageRank 
27
31
7.78
Referers 
Referees 
References 
84
180
91
Search Limit
100180
Title
Citations
PageRank
Year
Tensor-Based Modulation for Unsourced Massive Random Access60.452021
Tensor Decomposition Bounds for TBM-Based Massive Access10.362021
Triplet-Based Wireless Channel Charting00.342020
DNN-based Localization from Channel Estimates: Feature Design and Experimental Results.00.342020
Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications30.382020
Covariance-Aided CSI Acquisition with Non-Orthogonal Pilots in Massive MIMO: A Large-System Performance Analysis00.342020
Multi-User Detection Based on Expectation Propagation for the Non-Coherent SIMO Multiple Access Channel10.352019
Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications.00.342019
Covariance-Aided CSI Acquisition with Non-Orthogonal Pilots in Massive MIMO Systems.00.342019
Performance of Covariance-Aided CSI Acquisition with Non-Orthogonal Pilots in Massive MIMO00.342019
Non-Coherent Multi-User Detection Based On Expectation Propagation00.342019
A Framework for Over-the-air Reciprocity Calibration for TDD Massive MIMO Systems.50.462018
CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach.20.412018
Efficient Channel State Information Acquisition in Massive MIMO Systems using Non-Orthogonal Pilots20.412017
Covariance estimation with projected data: Applications to CSI covariance acquisition and tracking.10.352017
Riemannian coding for covariance interpolation in massive MIMO frequency division duplex systems00.342016
Estimation for Models Defined by Conditions on Their L-Moments.00.342016
Median burg robust spectral estimation for inhomogeneous and stationary segments20.382016
Channel Covariance Estimation in Massive MIMO Frequency Division Duplex Systems80.522015
Multivariate L-Moments Based On Transports00.342015
Estimation and Tests Under L-Moment Condition Models.00.342013