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Rami Ezzine
Rami Ezzine
Chair of Theoretical Information Technology, Technische Universität München
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Common randomness generation and identification over Gaussian channels
R Ezzine, W Labidi, H Boche, C Deppe
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
182020
A rigorous proof of the capacity of MIMO Gauss-Markov Rayleigh fading channels
R Ezzine, M Wiese, C Deppe, H Boche
2022 IEEE International Symposium on Information Theory (ISIT), 2732-2737, 2022
42022
Outage common randomness capacity characterization of multiple-antenna slow fading channels
R Ezzine, M Wiese, C Deppe, H Boche
2021 IEEE Information Theory Workshop (ITW), 1-6, 2021
42021
Common randomness generation over slow fading channels
R Ezzine, M Wiese, C Deppe, H Boche
2021 IEEE International Symposium on Information Theory (ISIT), 1925-1930, 2021
42021
A general formula for uniform common randomness capacity
R Ezzine, M Wiese, C Deppe, H Boche
2022 IEEE Information Theory Workshop (ITW), 762-767, 2022
32022
Message Transmission and Common Randomness Generation over MIMO Slow Fading Channels with Arbitrary Channel State Distribution
R Ezzine, M Wiese, C Deppe, H Boche
IEEE Transactions on Information Theory, 2023
22023
A Lower and Upper Bound on the Epsilon-Uniform Common Randomness Capacity
R Ezzine, M Wiese, C Deppe, H Boche
2023 IEEE International Symposium on Information Theory (ISIT), 240-245, 2023
12023
Common Randomness Generation from Sources with Countable Alphabet
W Labidi, R Ezzine, C Deppe, M Wiese, H Boche
ICC 2023-IEEE International Conference on Communications, 2425-2430, 2023
12023
Common randomness generation from gaussian sources
W Labidi, R Ezzine, C Deppe, H Boche
arXiv preprint arXiv:2201.11078, 2022
12022
Optimal signal processing for common randomness generation over MIMO Gaussian channels with applications in identification
R Ezzine, W Labidi, C Deppe, H Boche
arXiv preprint arXiv:2011.05929, 2020
12020
Common Randomness Generation from Finite Compound Sources
R Ezzine, M Wiese, C Deppe, H Boche
arXiv preprint arXiv:2401.14323, 2024
2024
A Proof of a Single-Letter Capacity Formula for MIMO Gauss-Markov Rayleigh Fading Channels
R Ezzine, M Wiese, C Deppe, H Boche
IEEE Transactions on Information Theory, 2023
2023
Common Randomness
R Ezzine, W Labidi
Workshop on Post Shannon Theory (6G-life AP1. 3 and AP1. 8), 2023
2023
A Single-Letter Capacity Formula for MIMO Gauss-Markov Rayleigh Fading Channels
R Ezzine, M Wiese, C Deppe, H Boche
arXiv preprint arXiv:2207.13357, 2022
2022
A Rigorous Proof of the Capacity of Time-Varying MIMO Rayleigh Fading Channels
R Ezzine, M Wiese, C Deppe, H Boche
Lehrstuhl für Theoretische Informationstechnik, 2022
2022
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