The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation

Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation
Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation
This dataset supports the publication of an article in IEEE Transactions on Vehicular Technology, 'Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation'. This dataset contains Figures 6, 7, 8, 9, 10, 11 and 12 of the aforementioned paper. Each folder is named according to its content, where the curves of each figure are stored in mat files. To regenerate the results, please use Matlab.
University of Southampton
Liu, Haochen
280c47ba-6330-47b5-b5cd-2ca84878ce0a
Zhang, Yaoyuan
6b05d076-c3a9-4e38-90cb-bb89c5ccf265
Zhang, Xiaoyu
ea1ec5dd-5b9f-4ba9-b420-c05e771a5ae3
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Liu, Haochen
280c47ba-6330-47b5-b5cd-2ca84878ce0a
Zhang, Yaoyuan
6b05d076-c3a9-4e38-90cb-bb89c5ccf265
Zhang, Xiaoyu
ea1ec5dd-5b9f-4ba9-b420-c05e771a5ae3
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7

Liu, Haochen (2022) Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation. University of Southampton doi:10.5258/SOTON/D2250 [Dataset]

Record type: Dataset

Abstract

This dataset supports the publication of an article in IEEE Transactions on Vehicular Technology, 'Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation'. This dataset contains Figures 6, 7, 8, 9, 10, 11 and 12 of the aforementioned paper. Each folder is named according to its content, where the curves of each figure are stored in mat files. To regenerate the results, please use Matlab.

Text
readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (2kB)
Archive
Dataset.zip - Dataset
Available under License Creative Commons Attribution.
Download (7kB)

More information

Published date: 2022
Learn more about School of Electronics and Computer Science research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Next Generation Wireless research

Identifiers

Local EPrints ID: 457396
URI: http://eprints.soton.ac.uk/id/eprint/457396
DOI: doi:10.5258/SOTON/D2250
PURE UUID: 3c3a0d3f-e335-40aa-acbe-b9eb63daeebf
ORCID for Haochen Liu: ORCID iD orcid.org/0000-0001-9794-5278
ORCID for Yaoyuan Zhang: ORCID iD orcid.org/0000-0002-8126-108X
ORCID for Xiaoyu Zhang: ORCID iD orcid.org/0000-0002-0793-889X
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 07 Jun 2022 16:34
Last modified: 28 Nov 2023 02:57

Export record

Altmetrics

Contributors

Creator: Haochen Liu ORCID iD
Contributor: Yaoyuan Zhang ORCID iD
Contributor: Xiaoyu Zhang ORCID iD
Research team head: Mohammed El-Hajjar ORCID iD
Research team head: Lie-Liang Yang 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

Library staff additional information
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.

×