Dataset in support of the Southampton doctoral thesis 'Intelligence-aided channel estimation and detection for multi-dimensional Index modulation'
Dataset in support of the Southampton doctoral thesis 'Intelligence-aided channel estimation and detection for multi-dimensional Index modulation'
Dataset in support of the Southampton doctoral thesis 'Intelligence-aided Channel Estimation and Detection for Multi-dimensional Index Modulation'.
The data reflects the research process in which the following parts were analysed: In the first part, the maximum likelihood (ML) detection for both the hard and soft decision of the CS-JMIM is applied. In the second part, once the ML-based detector is applied, the corresponding samples are used for training learning-based detection model. Additionally, channel estimation (CE)-aided detector and joint channel estimation and detection are analysed.
This dataset contains zip file code.zip.
The data is a series of codes written by Matlab.
University of Southampton
Feng, Xinyu
c4e07886-1f4d-4933-89be-d373c5bd437d
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Feng, Xinyu
c4e07886-1f4d-4933-89be-d373c5bd437d
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Feng, Xinyu
(2024)
Dataset in support of the Southampton doctoral thesis 'Intelligence-aided channel estimation and detection for multi-dimensional Index modulation'.
University of Southampton
doi:10.5258/SOTON/D3068
[Dataset]
Abstract
Dataset in support of the Southampton doctoral thesis 'Intelligence-aided Channel Estimation and Detection for Multi-dimensional Index Modulation'.
The data reflects the research process in which the following parts were analysed: In the first part, the maximum likelihood (ML) detection for both the hard and soft decision of the CS-JMIM is applied. In the second part, once the ML-based detector is applied, the corresponding samples are used for training learning-based detection model. Additionally, channel estimation (CE)-aided detector and joint channel estimation and detection are analysed.
This dataset contains zip file code.zip.
The data is a series of codes written by Matlab.
Archive
code.zip
- Dataset
Text
D3068-thesis_readme.txt
- Dataset
More information
Published date: 13 May 2024
Identifiers
Local EPrints ID: 490045
URI: http://eprints.soton.ac.uk/id/eprint/490045
PURE UUID: bf0337f0-b7d4-432a-bb9d-65a32d3e9515
Catalogue record
Date deposited: 14 May 2024 16:31
Last modified: 16 May 2024 01:57
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Contributors
Creator:
Xinyu Feng
Research team head:
Mohammed El-Hajjar
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