Rami Ezzine

Orcid: 0000-0002-3432-4447

According to our database¹, Rami Ezzine authored at least 16 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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PhD thesis

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Bibliography

2025

Uniform Common Randomness Generation Over Arbitrary Point-to-Point Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, July, 2025

Optimal Signal Processing for Common Randomness Generation over MIMO Gaussian Channels with Applications in Identification.

[BibT_eX]

[DOI]

Proceedings of the Information Theory and Related Fields, 2025

Workshop on Information Theory and Related Fields - In Memory of Ning Cai.

[BibT_eX]

[DOI]

Proceedings of the Information Theory and Related Fields, 2025

2024

Message Transmission and Common Randomness Generation Over MIMO Slow Fading Channels With Arbitrary Channel State Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, January, 2024

Common Randomness Generation from Sources with Infinite Polish Alphabet.

[BibT_eX]

[DOI]

CoRR, 2024

Common Randomness Generation from Finite Compound Sources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

A Proof of a Single-Letter Capacity Formula for MIMO Gauss-Markov Rayleigh Fading Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, November, 2023

A Lower and Upper Bound on the Epsilon-Uniform Common Randomness Capacity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Common Randomness Generation from Sources with Countable Alphabet.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

A Single-Letter Capacity Formula for MIMO Gauss-Markov Rayleigh Fading Channels.

[BibT_eX]

[DOI]

CoRR, 2022

A General Formula for Uniform Common Randomness Capacity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2022

Common Randomness Generation from Gaussian Sources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

A Rigorous Proof of the Capacity of MIMO Gauss-Markov Rayleigh Fading Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Common Randomness Generation over Slow Fading Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Common Randomness Generation and Identification over Gaussian Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Rami Ezzine

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