Accessibility navigation


Fractional-order system identification in massive MIMO systems

Lupupa, M. and Hadjiloucas, S. ORCID: https://orcid.org/0000-0003-2380-6114 (2018) Fractional-order system identification in massive MIMO systems. Journal of Physics: Conference Series, 1065. 212016. ISSN 1742-6588

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1088/1742-6596/1065/21/212016

Abstract/Summary

In wireless communications using massive multiple-input multiple-output (MIMO) channel modalities as would be required for communications with distributed sensing modalities to enable Internet of Things (IoT) connectivity, channel equalization must be performed following channel estimation using system identification tools. This contribution shows the necessity for extending existing subspace multiple output-error state space (MOESP) algorithms with their fractional-order equivalents to perform channel identification.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences
ID Code:81520
Publisher:Institute of Physics

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation