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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.

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Dataset.tar.gz - Dataset
Available under License Creative Commons Attribution.
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readme.txt - Dataset
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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: 24 May 2019 00:39

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Contributors

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

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