READ ME File For 'Dataset in support of the Southampton doctoral thesis 'Intelligence-aided channel estimation and detection for multi-dimensional Index modulation''

Dataset DOI: 10.5258/SOTON/D3068

ReadMe Author: Xinyu Feng, University of Southampton 0009-0006-8363-4771

This dataset supports the thesis entitled 'Intelligence-aided channel estimation and detection for multi-dimensional Index modulation'
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [2024]

DESCRIPTION OF THE DATA

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:
This dataset contains zip file code.zip. 
The data is a series of codes written by Matlab.


Date of data collection: [2020- 2024]

Information about geographic location of data collection: Southampton, UK

Licence:
[CC BY]

Date of data collection: 10 Apr, 2024

 

Date that the file was created: May, 2024