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2023
- A Proof of a Single-Letter Capacity Formula for MIMO Gauss-Markov Rayleigh Fading Channels. IEEE Transactions on Information Theory 69 (11), 2023, 6878 - 6896 mehr… Volltext ( DOI )
- Message Transmission and Common Randomness Generation over MIMO Slow Fading Channels with Arbitrary Channel State Distribution. IEEE Transactions on Information Theory (Early Access), 2023 mehr… Volltext ( DOI )
- A Lower and Upper Bound on the Epsilon-Uniform Common Randomness Capacity. 2023 IEEE International Symposium on Information Theory, IEEE, 2023ISIT mehr…
- Common Randomness. Workshop on Post Shannon Theory (6G-life AP1.3 and AP1.8), 2023 mehr…
- Common Randomness Generation from Sources with Countable Alphabet. IEEE International Conference on Communications, IEEE, 2023 mehr…
2022
- A Rigorous Proof of the Capacity of Time-Varying MIMO Rayleigh Fading Channels. arXiv, CoRR/Cornell University, 2022, mehr…
- A General Formula for Uniform Common Randomness Capacity. arXiv, CoRR/Cornell University, 2022, mehr…
- A Rigorous Proof of the Capactiy of MIMO Gauss-Markov Fading Channels. IEEE International Symposium on Information Theory, 2022ISIT 2022 mehr…
- A General Formula for Uniform Common Randomness Capacity. IEEE Information Theory Workshop, IEEE, 2022ITW 2022 mehr…
- Common Randomness Generation from Gaussian Sources. IEEE International Symposium on Information Theory, Aalto University, 2022ISIT 2022 mehr…
2021
- Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels. 2021 IEEE Information Theory Workshop , IEEE, 2021ITW 2021 mehr…
- Common Randomness Generation over Slow Fading Channels. arXiv, CoRR/Cornell University, 2021, mehr…
- Outage Common Randomness Capacity Characterization of Multiple-Antenna Slow Fading Channels. arXiv, CoRR/Cornell University, 2021, mehr…
- Common Randomness Generation over Slow Fading Channels. IEEE International Symposium on Information Theory, IEEE, 2021ISIT 2021 mehr… Volltext ( DOI )
2020
- Optimal Signal Processing for Common Randomness Generation over MIMO Gaussian Channels with Applications in Identification. arXiv, CoRR/Cornell University, 2020, mehr…
- Common randomness generation and identification over Gaussian channels. IEEE Global Communications Conference, IEEE, 2020GLOBECOM 2020 mehr…