TY - CHAP U1 - Konferenzveröffentlichung A1 - Saad, Ahmad A1 - Staehle, Barbara T1 - Towards a time-domain traffic model for adaptive industrial communication in ISM bands T2 - Wireless days (WD), 23-25 March 2016, Toulouse, France N2 - Realistic traffic modeling plays a key role in efficient Dynamic Spectrum Access (DSA) which is considered as enabler for the employment of wireless technologies in critical industrial automation applications (IAA). The majority of models of spectrum usage are not suitable for this specific use case as they are based on measurement campaigns conducted in urban or controlled laboratory environments. In this work we present a time-domain traffic model for industrial communication in the 2.4 GHz industrial, scientific, medical (ISM) band based on measurements in an industrial automotive production site. As DSA is usually implemented on Software Defined Radios (SDR), our measurement campaign is based on SDR platforms rather than sophisticated spectrum analyzers. We show through the estimation of the Hurst parameter that industrial wireless traffic possesses inherent self-similarity that could be exploited for efficient DSA. We also show that wireless traffic could be modeled as a semi-Markov model with channel on and off durations Log-normally and Pareto distributed, respectively. We finally estimate the parameters of the derived models using Maximum Likelihood estimation. KW - Telecommunication traffic KW - Markov processes KW - Maximum likelihood estimation KW - Software radio KW - Spectral analysers Y1 - 2016 SN - 978-1-5090-2494-0 SB - 978-1-5090-2494-0 SN - 978-1-5090-2493-3 SB - 978-1-5090-2493-3 U6 - https://doi.org/10.1109/WD.2016.7461492 DO - https://doi.org/10.1109/WD.2016.7461492 N1 - Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich. SP - 6 S1 - 6 PB - IEEE ER -