Delay-Doppler Signal Processing with Zadoff-Chu Sequences

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Mattu, Sandesh Rao, Khan, Imran Ali, Khammammetti, Venkatesh, Dabak, Beyza, Mohammed, Saif Khan, Narayanan, Krishna, Calderbank, Robert
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866915049685123072
author Mattu, Sandesh Rao
Khan, Imran Ali
Khammammetti, Venkatesh
Dabak, Beyza
Mohammed, Saif Khan
Narayanan, Krishna
Calderbank, Robert
author_facet Mattu, Sandesh Rao
Khan, Imran Ali
Khammammetti, Venkatesh
Dabak, Beyza
Mohammed, Saif Khan
Narayanan, Krishna
Calderbank, Robert
contents Much of the engineering behind current wireless systems has focused on designing an efficient and high-throughput downlink to support human-centric communication such as video streaming and internet browsing. This paper looks ahead to design of the uplink, anticipating the emergence of machine-type communication (MTC) and the confluence of sensing, communication, and distributed learning. We demonstrate that grant-free multiple access is possible even in the presence of highly time-varying channels. Our approach provides a pathway to standards adoption, since it is built on enhancing the 2-step random access procedure which is already part of the 5GNR standard. This 2-step procedure uses Zadoff-Chu (ZC) sequences as preambles that point to radio resources which are then used to upload data. We also use ZC sequences as preambles / pilots, but we process signals in the Delay-Doppler (DD) domain rather than the time-domain. We demonstrate that it is possible to detect multiple preambles in the presence of mobility and delay spread using a receiver with no knowledge of the channel other than the worst case delay and Doppler spreads. Our approach depends on the mathematical properties of ZC sequences in the DD domain. We derive a closed form expression for ZC pilots in the DD domain, we characterize the possible self-ambiguity functions, and we determine the magnitude of the possible cross-ambiguity functions. These mathematical properties enable detection of multiple pilots through solution of a compressed sensing problem. The columns of the compressed sensing matrix are the translates of individual ZC pilots in delay and Doppler. We show that columns in the design matrix satisfy a coherence property that makes it possible to detect multiple preambles in a single Zak-OTFS subframe using One-Step Thresholding (OST), which is an algorithm with low complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2412_04295
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Delay-Doppler Signal Processing with Zadoff-Chu Sequences
Mattu, Sandesh Rao
Khan, Imran Ali
Khammammetti, Venkatesh
Dabak, Beyza
Mohammed, Saif Khan
Narayanan, Krishna
Calderbank, Robert
Signal Processing
Information Theory
Much of the engineering behind current wireless systems has focused on designing an efficient and high-throughput downlink to support human-centric communication such as video streaming and internet browsing. This paper looks ahead to design of the uplink, anticipating the emergence of machine-type communication (MTC) and the confluence of sensing, communication, and distributed learning. We demonstrate that grant-free multiple access is possible even in the presence of highly time-varying channels. Our approach provides a pathway to standards adoption, since it is built on enhancing the 2-step random access procedure which is already part of the 5GNR standard. This 2-step procedure uses Zadoff-Chu (ZC) sequences as preambles that point to radio resources which are then used to upload data. We also use ZC sequences as preambles / pilots, but we process signals in the Delay-Doppler (DD) domain rather than the time-domain. We demonstrate that it is possible to detect multiple preambles in the presence of mobility and delay spread using a receiver with no knowledge of the channel other than the worst case delay and Doppler spreads. Our approach depends on the mathematical properties of ZC sequences in the DD domain. We derive a closed form expression for ZC pilots in the DD domain, we characterize the possible self-ambiguity functions, and we determine the magnitude of the possible cross-ambiguity functions. These mathematical properties enable detection of multiple pilots through solution of a compressed sensing problem. The columns of the compressed sensing matrix are the translates of individual ZC pilots in delay and Doppler. We show that columns in the design matrix satisfy a coherence property that makes it possible to detect multiple preambles in a single Zak-OTFS subframe using One-Step Thresholding (OST), which is an algorithm with low complexity.
title Delay-Doppler Signal Processing with Zadoff-Chu Sequences
topic Signal Processing
Information Theory
url https://arxiv.org/abs/2412.04295