Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems



Lopez-Benitez, Miguel ORCID: 0000-0003-0526-6687, Toma, Ogeen ORCID: 0000-0002-3969-0470 and Patel, Dhaval
(2020) Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems. In: IEEE Wireless Communications and Networking Conference (WCNC 2020), 6th IEEE International Workshop on Smart Spectrum (IWSS 2020), 2020-4-6 - 2020-4-9, Seoul, South Korea.

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Abstract

Dynamic Spectrum Access (DSA) / Cognitive Radio (CR) systems can greatly benefit from the knowledge of the activity statistics of the primary channel. Such statistics can be estimated by the DSA/CR system based on the on/off decisions provided by the employed spectrum sensing algorithm, which can be processed to estimate the duration of the individual idle/busy periods of the primary channel and subsequently a broad range of activity statistics. Previous work has investigated analytically this estimation approach and provided closed-form expressions for the estimated distribution as well as its associated estimation error. However, existing analytical results are provided in an implicit form that requires some form of numerical evaluation and is not always well- suited for analytical manipulations. In this context, this work extends the existing results by providing mathematical models in an explicit form that can be evaluated directly and are applicable to several estimation strategies. The obtained mathematical expressions are validated with simulation results, showing a remarkable high level of accuracy.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Cognitive radio, Radio spectrum management, Signal detection, Wireless channels
Depositing User: Symplectic Admin
Date Deposited: 03 Mar 2020 10:25
Last Modified: 15 Mar 2024 06:08
DOI: 10.1109/WCNCW48565.2020.9124763
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3076078