Learning To Communicate

Published on ● Video Link: https://www.youtube.com/watch?v=mbf7YamareM



Duration: 41:30
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Robert Calderbank (Duke University)
https://simons.berkeley.edu/talks/robert-calderbank-duke-university-2024-03-04
Application-Driven Coding Theory

It is common knowledge that a time-domain pulse is well adapted to pure delay channels, and that a frequency domain pulse is well adapted to pure Doppler channels. In this talk we will explain why the Zak-OTFS waveform, a pulse in the delay-Doppler domain, is well adapted to the doubly spread channels that arise in wireless communication. We will describe how to design the Zak-OTFS waveform so that the input-output (IO) relation is predictable and non-fading, and we will explain how it is possible to learn the IO relation without needing to estimate the underlying channel. We will explore the possibility of a model-free mode of operation, which is especially useful when a traditional model-dependent mode of operation (reliant on channel estimation) is out of reach. We will also describe how the Zak-OTFS waveform supports combined communication and sensing by enabling unambiguous delay-Doppler estimation. This is joint work with Saif Mohammed, Ananthanarayanan Chockalingam, and Ronny Hadani.







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Application-Driven Coding Theory
Robert Calderbank