Warping Functions Design for Long Warped ZT-DFT-s-OFDM

Mostafa Ibrahim, Sabit Ekin, Ali Riza Ekti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Time-frequency warped waveform is a novel type of well-contained waveform composed of raised cosine (RC) pulses with roll-off factors profile customized for spectrally efficient signal containment. The waveform is suited for massive machine-type communication (mMTC), and Internet-of-Things (IoT) applications. The paper is a follow-up to the original work of time-frequency warped waveforms; here, we are proposing a warping function suited for length-independent symbols, which is missing from the previous work. The paper proposes the design steps starting from a piecewise warping function with parts of straight segments and other curved parts. A maximum Out-of-band leakage is used as a criterion to determine the warping function parameters. The roll-off factors profile determined in the previous study is used as a minimum bound for the leakage limits. Gains are presented over Windowed Zero-tail Discrete Fourier Transform-spread-Orthogonal Frequency Division Multiplexing (ZT-DFT-s-OFDM) in the simulations section.

Original languageEnglish
Title of host publicationMILCOM 2023 - 2023 IEEE Military Communications Conference
Subtitle of host publicationCommunications Supporting Military Operations in a Contested Environment
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages280-285
Number of pages6
ISBN (Electronic)9798350321814
DOIs
StatePublished - 2023
Event2023 IEEE Military Communications Conference, MILCOM 2023 - Boston, United States
Duration: Oct 30 2023Nov 3 2023

Publication series

NameMILCOM 2023 - 2023 IEEE Military Communications Conference: Communications Supporting Military Operations in a Contested Environment

Conference

Conference2023 IEEE Military Communications Conference, MILCOM 2023
Country/TerritoryUnited States
CityBoston
Period10/30/2311/3/23

Funding

ACKNOWLEDGMENT This material is based upon work supported in part by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research under Award Number DE-SC0023957. This work was supported in part by the U.S. National Science Foundation under Grants 2323300. This manuscript has been authored in part by UT–Battelle, LLC, under contract DE–AC05–00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript or allow others to do so for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

FundersFunder number
National Science Foundation2323300
U.S. Department of Energy
BattelleDE–AC05–00OR22725
Office of Science
Advanced Scientific Computing ResearchDE-SC0023957

    Keywords

    • 6G and Beyond
    • IoT
    • massive machine-type communication
    • mMTC
    • Time-Frequency Warping
    • Waveform

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