Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Received total wideband power data analysis: multiscale wavelet analysis of RTWP data in a 3G network

Garrigan, John, Crane, Martin orcid logoORCID: 0000-0001-7598-3126 and Bezbradica, Marija orcid logoORCID: 0000-0001-9366-5113 (2019) Received total wideband power data analysis: multiscale wavelet analysis of RTWP data in a 3G network. In: MSWiM19: The 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 25 - 29 Nov 2019, Miami Beach, USA. ISBN 978-1-4503-6904-6

Abstract
Received total wideband power (RTWP) data is a measurement of the wanted and unwanted power levels received by a 3G radio base station (RBS) and is a concise indicator of uplink network performance. Using a statistical physics approach, we aim to detect periods of unusual activity between cells by assessing a sample of RTWP measurement data from a live network. Using wavelet correlation and cross-correlation techniques we analyse multivariate non-stationary time series for statistical relationships at different time scales. We analyse the seasonal component of the dataset as well as examining the autocorrelation and partial autocorrelation methods. We then explore the Hurst exponent of the dataset and inspect the intraday correlations for patterns of events. Next, we examine the eigenvalue spectrum using different sized sliding windows. Finally, we compare approaches for assessing multiscale relationships among several variables using the wavelet multiple correlation and wavelet zero-lag cross-correlation on non-stationary RTWP time series data.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:3G; uplink; maximum overlap discrete wavelet transform; multiscale analysis; multivariate time series; non-stationary time series; received total wideband power
Subjects:Computer Science > Computer simulation
Engineering > Telecommunication
Mathematics > Mathematical models
Mathematics > Numerical analysis
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Scientific Computing and Complex Systems Modelling (Sci-Sym)
Research Initiatives and Centres > ADAPT
Published in: Proceedings of MSWiM2019. . Association for Computing Machinery (ACM). ISBN 978-1-4503-6904-6
Publisher:Association for Computing Machinery (ACM)
Official URL:http://dx.doi.org/10.1145/3345768.3355905
Copyright Information:© 2019 Association for Computing Machinery.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:DCU School of Computing Research Funding
ID Code:23831
Deposited On:25 Nov 2019 12:57 by Martin Crane . Last Modified 29 Nov 2019 15:31
Documents

Full text available as:

[thumbnail of SC-ACM-interim-layout FINAL MIAMI.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record