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

Dataset for: Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction

Dataset for: Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction
Dataset for: Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction
This dataset supports the paper: Katla, S. et al (2019). Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction. IEEE Access.
University of Southampton
Katla, Satyanarayana
f3436daa-e5da-4b3c-ab4b-ad07a0cef99a
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Katla, Satyanarayana
f3436daa-e5da-4b3c-ab4b-ad07a0cef99a
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Katla, Satyanarayana, El-Hajjar, Mohammed and Hanzo, Lajos (2019) Dataset for: Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction. University of Southampton doi:10.5258/SOTON/D0924 [Dataset]

Record type: Dataset

Abstract

This dataset supports the paper: Katla, S. et al (2019). Multi-User Full Duplex Transceiver Design for mmWave Systems Using Learning-Aided Channel Prediction. IEEE Access.

Archive
Dataset.tar.gz - Dataset
Available under License Creative Commons Attribution.
Download (131kB)
Text
readme.txt - Dataset
Download (4kB)

More information

Published date: 23 May 2019
Related URLs:
Learn more about School of Electronics and Computer Science research Learn more about Next Generation Wireless research

Identifiers

Local EPrints ID: 431115
URI: http://eprints.soton.ac.uk/id/eprint/431115
DOI: doi:10.5258/SOTON/D0924
PURE UUID: ef50b3ca-a57c-4a3e-95b6-e0f1351b0554
ORCID for Satyanarayana Katla: ORCID iD orcid.org/0000-0002-5411-3962
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 23 May 2019 16:31
Last modified: 06 May 2023 01:47

Export record

Altmetrics

Contributors

Creator: Satyanarayana Katla ORCID iD
Creator: Mohammed El-Hajjar 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

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.

×