Zak-OTFS: A Predictable Physical Layer for Communications and Sensing
Sandesh Rao Mattu, Nishant Mehrotra, Venkatesh Khammammetti, Robert Calderbank

TL;DR
This paper explores Zak-OTFS waveforms, demonstrating their predictability and non-selectivity in delay-Doppler channels, and relates their structure to other 6G waveforms like AFDM and ODDM.
Contribution
It provides a mathematical foundation for Zak-OTFS as geometric HW group modes, establishing conditions for predictability and linking it to other 6G waveforms.
Findings
Zak-OTFS waveforms are quasi-periodic localized functions in the DD domain.
Under certain channel conditions, Zak-OTFS I/O response is predictable across the DD frame.
The pulse train modulated by a Hadamard matrix is common to Zak-OTFS, AFDM, OTSM, and ODDM.
Abstract
This tutorial derives the mathematical foundations of what it means for a carrier waveform to be predictable and non-selective. We focus on Zak-OTFS, where each carrier waveform is a pulse in the delay-Doppler (DD) domain, formally a quasi-periodic localized function with specific periods along delay and Doppler. Viewed in the time domain, the Zak-OTFS carrier is realized as a pulse train modulated by a tone (termed a pulsone). We start by providing physical intuition, describing what it means for the Zak-OTFS carrier waveforms to be geometric modes of the Heisenberg-Weyl (HW) group of discrete delay and Doppler shifts that define the discrete-time communication model. In fact, we show that these geometric modes are common eigenvectors of a maximal commutative subgroup of our discrete HW group. When the channel delay spread is less than the delay period, and the channel Doppler…
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