The University of Southampton
University of Southampton Institutional Repository

Dataset for Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access

Dataset for Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access
Dataset for Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access
Research data for the paper: Liu, Y., Yang & Hanzo, L., 'Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access' in IEEE Transactions on Vehicular Technology
University of Southampton
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Liu, Yusha, Yang, Lieliang and Hanzo, Lajos (2020) Dataset for Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access. University of Southampton doi:10.5258/SOTON/D1478 [Dataset]

Record type: Dataset

Abstract

Research data for the paper: Liu, Y., Yang & Hanzo, L., 'Sparse Space-Time-Frequency-Domain Spreading for Large-Scale Non-Orthogonal Multiple Access' in IEEE Transactions on Vehicular Technology

Archive
dataset_final.zip - Dataset
Download (39kB)
Text
D1478_readme.txt - Text
Download (1kB)

More information

Published date: 2020

Identifiers

Local EPrints ID: 442601
URI: http://eprints.soton.ac.uk/id/eprint/442601
PURE UUID: cdaffc8a-29c1-4e30-a7f9-89ada719bc37
ORCID for Lieliang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 20 Jul 2020 16:37
Last modified: 06 May 2023 01:36

Export record

Altmetrics

Contributors

Creator: Yusha Liu
Creator: Lieliang Yang ORCID iD
Creator: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×