Measurement-calibrated conflict graphs for dynamic spectrum distribution

Xia Zhou, Zengbin Zhang, Gang Wang, Xiaoxiao Yu, Ben Y. Zhao, Haitao Zheng

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

Abstract

Building accurate interference maps is critical for performing reliable and efficient spectrum allocation. In this work, we use empirical data to explore the feasibility of using measurement-calibrated propagation models to build accurate interference models. Our work shows that calibrated propagation models generate location-dependent signal prediction errors. Such error pattern leads to conservative conflict graphs that actually improve the reliability of spectrum allocations by reducing the impact of unpredicted accumulative interference.

Original languageEnglish (US)
Title of host publication2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012
Pages287
Number of pages1
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012 - Bellevue, WA, United States
Duration: Oct 16 2012Oct 19 2012

Publication series

Name2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012

Conference

Conference2012 IEEE International Symposium on Dynamic Spectrum Access Networks, DYSPAN 2012
CountryUnited States
CityBellevue, WA
Period10/16/1210/19/12

ASJC Scopus subject areas

  • Computer Networks and Communications

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