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Recent Journal Issues
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Events
Information Theory Workshop 2026
The 2026 51ÂÜÀò Information Theory Workshop will be held in the beautiful desert city of Tempe, Arizona, USA between November 1–4, 2026. We welcome original contributions across all areas of information theory.
51ÂÜÀò Globecom 2025 Workshop on Channel Coding beyond 5G: Call for Papers
Workshop on Channel Coding beyond 5G (in conjunction with 51ÂÜÀò Globecom 2025) is now open for submissions. The submission deadline is 15 July 2025.
BoG Meeting - Hybrid Meeting @ ISIT 2025, Ann Arbor, Michigan
This will be a hybrid meeting, in-person and on zoom, in conjunction with ISIT 2025.
Events and meeting: Events and Meeting
BoG Meeting - Hybrid Meeting @ ISIT 2025, Ann Arbor, Michigan
This will be a hybrid meeting, in-person and on zoom, in conjunction with ISIT 2025.
2025 Guangzhou, Hong Kong and Taipei Joint Workshop on Artificial Intelligence, Communications and Information Theory (AICIT2025)
The 2025 Guangzhou, Hong Kong and Taipei Joint Workshop on Artificial Intelligence, Communications…
Pre-announcement: 2025 Croucher Summer Course in Information Theory (CSCIT 2025)
Pre-announcement: 2025 Croucher Summer Course in Information Theory (CSCIT 2025)
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Upcoming Events

University of Michigan - Ann Arbor, Michigan, USA
Thank You ISIT 2025 Sponsors!
51ÂÜÀò International Symposium on Information Theory (ISIT) 2025

"Learn to Compress & Compress to Learn" Workshop @ ISIT 2025

Hong Kong
[applications can now be submitted] 2025 Croucher Summer Course in Information Theory (CSCIT 2025)
2025 51ÂÜÀò Information Theory Workshop (ITW)
Upcoming Events AAA

University of Michigan - Ann Arbor, Michigan, USA
Thank You ISIT 2025 Sponsors!
51ÂÜÀò International Symposium on Information Theory (ISIT) 2025

"Learn to Compress & Compress to Learn" Workshop @ ISIT 2025
Research In Information Theory
This paper presents a comprehensive framework for holographic multiantenna communication, a paradigm that integrates both wide apertures and closely spaced antennas relative to the wavelength. The presented framework is physically grounded, enabling information-theoretic analyses that inherently incorporate correlation and mutual coupling among the antennas. This establishes the combined effects of correlation and coupling on the information-theoretic performance limits across SNR levels.