Quantifying secondary spectrum Whitespace Opportunity Distributions

Pierce M. Rixon, Michael C. Heimlich

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

There is a lack of comprehensive and generally accepted secondary spectrum analysis methods for evaluating short timescale whitespace opportunities. High resolution time and frequency measurements generate enormous amounts of multidimensional data, posing a significant challenge in visualising the dataset. This work presents the construction of a novel 'Whitespace Opportunity Distribution' for quantifying the availability of spectrum resources within an observed secondary spectrum environment. Two different spectrum use cases are examined and measured to contrast whitespace availability based on incumbent spectrum usage. The dimensionality of spectrum measurement data is reduced by applying a known NP-Hard partitioning problem to successfully capture discrete whitespace opportunities at millisecond timescales and sub kilohertz resolutions, enabling the available spectrum resources to be quantified.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages640-646
Number of pages7
ISBN (Electronic)9781509043729
ISBN (Print)9781509043736
DOIs
Publication statusPublished - 19 Jul 2017
Event13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 - Valencia, Spain
Duration: 26 Jun 201730 Jun 2017

Other

Other13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
CountrySpain
CityValencia
Period26/06/1730/06/17

Fingerprint Dive into the research topics of 'Quantifying secondary spectrum Whitespace Opportunity Distributions'. Together they form a unique fingerprint.

Cite this