Statistical approach to the spectrum engineering practices

Chris Johnson, Abdelkrim Benamar, Dragan Boscovic

Research output: Contribution to journalConference article

Abstract

In this contribution we describe the merits of a software tool based upon the statistical Monte Carlo technique which is capable of analyzing complex radio system compatibility issues. The tool can be used to help spectrum engineers make the most efficient use of the limited radio frequencies available. It is able to help identify candidate frequency bands for radio systems; determine the appropriate size of guard bands; derive transmitter emission masks needed to protect adjacent services; specify receiver susceptibility to preserve system performance in a given radio environment; identify band sharing issues between different services and technologies and provide smooth band re-farming strategies. A description of the tool is provided as well as an explanation of its applicability. In addition there are a number of examples illustrating the usefulness of the tool.

Original languageEnglish (US)
Pages (from-to)268-271
Number of pages4
JournalIEEE Vehicular Technology Conference
Volume1
StatePublished - Dec 1 1998
Externally publishedYes
EventProceedings of the 1998 48th IEEE Vehicular Technology Conference, VTC'98. Part 3 (of 3) - Ottawa, Can
Duration: May 18 1998May 21 1998

Fingerprint

Radio systems
Engineering
Frequency bands
Monte Carlo Techniques
Masks
Transmitters
Software Tools
Transmitter
Susceptibility
Compatibility
Mask
Engineers
System Performance
Sharing
Receiver
Adjacent

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Statistical approach to the spectrum engineering practices. / Johnson, Chris; Benamar, Abdelkrim; Boscovic, Dragan.

In: IEEE Vehicular Technology Conference, Vol. 1, 01.12.1998, p. 268-271.

Research output: Contribution to journalConference article

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