Time-Dimension Models of Spectrum Usage for the Analysis, Design, and Simulation of Cognitive Radio Networks

Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687 and Casadevall, Fernando (2013) Time-Dimension Models of Spectrum Usage for the Analysis, Design, and Simulation of Cognitive Radio Networks. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 62 (5). pp. 2091-2104.

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Official URL: http://dx.doi.org/10.1109/tvt.2013.2238960

Abstract

This paper addresses the problem of accurately modeling the spectrum occupancy patterns of real radio communication systems, which is an essential aspect in the study of cognitive radio (CR) networks. The main drawbacks and limitations of previous works are identified, and the methodological procedures on which they rely are improved and extended. Two sophisticated measurement platforms, providing low and high time resolutions, are used to obtain extensive real-world data from a multiband spectrum measurement campaign, embracing a wide variety of spectrum bands of practical interest for CR applications. A comprehensive, systematical, and rigorous analysis of the statistical properties observed in the measurement data is then performed to find accurate models capable of capturing and reproducing, within reasonable complexity limits, the statistical properties of temporal patterns, at both short and long timescales, in real wireless systems. Innovative modeling approaches capable of simultaneously describing statistical properties at both timescales are developed as well. In summary, this paper contributes realistic and accurate time-dimension spectrum usage models for their application to the study and development of CR. © 1967-2012 IEEE.

Item Type:	Article
Uncontrolled Keywords:	Cognitive radio (CR), dynamic spectrum access (DSA), spectrum usage models, time dimension
Depositing User:	Symplectic Admin
Date Deposited:	26 Oct 2016 09:40
Last Modified:	15 Mar 2024 06:09
DOI:	10.1109/TVT.2013.2238960
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3003932