Mahdi Barzegar Khalilsarai

Orcid: 0000-0003-0579-0200

According to our database1, Mahdi Barzegar Khalilsarai authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Structured channel covariance estimation from limited samples for large antenna arrays.
EURASIP J. Wirel. Commun. Netw., December, 2023

FDD Massive MIMO Channel Training: Optimal Rate-Distortion Bounds and the Spectral Efficiency of "One-Shot" Schemes.
IEEE Trans. Wirel. Commun., September, 2023

Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework.
IEEE Trans. Wirel. Commun., 2022

FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes.
CoRR, 2022

Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2020
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2020

Active Channel Sparsification and Precoding for Dual-Polarized FDD Massive MIMO.
Proceedings of the 24th International ITG Workshop on Smart Antennas, 2020

Structured Channel Covariance Estimation for Dual-Polarized Massive MIMO Arrays.
Proceedings of the 24th International ITG Workshop on Smart Antennas, 2020

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO.
Proceedings of the IEEE Global Communications Conference, 2020

Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design.
Proceedings of the IEEE Global Communications Conference, 2020

WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing.
Proceedings of the IEEE Global Communications Conference, 2020

2019
FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification.
IEEE Trans. Wirel. Commun., 2019

Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO.
CoRR, 2019

WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
How to Achieve Massive MIMO Gains in FDD Systems?
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Multi-Band Covariance Interpolation with Applications in Massive MIMO.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Wideband Massive MIMO Channel Estimation via Sequential Atomic Norm Minimization.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive MIMO Systems.
CoRR, 2017

Compressive estimation of a stochastic process with unknown autocorrelation function.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2014
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance.
CoRR, 2014


  Loading...