Estimation of subspace occupancy

Kaitlyn Beaudet, Douglas Cochran

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

Abstract

The ability to identify unoccupied resources in the radio spectrum is a key capability for opportunistic user in a cognitive radio environment. This paper draws upon and extends geometrically based ideas in statistical signal processing to develop estimators for the rank and the occupied subspace in a multi-user environment from multiple temporal samples of the signal received at a single antenna. These estimators enable identification of resources (i.e., the orthogonal complement of the occupied subspace) that may be exploitable by an opportunistic user.

Original languageEnglish (US)
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1599-1603
Number of pages5
ISBN (Electronic)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2015-April
ISSN (Print)1058-6393

Other

Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/2/1411/5/14

Keywords

  • Cognitive radio
  • MAP estimation
  • MIMO communications
  • channel sensing
  • multi-channel sensing
  • rank estimation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Estimation of subspace occupancy'. Together they form a unique fingerprint.

  • Cite this

    Beaudet, K., & Cochran, D. (2015). Estimation of subspace occupancy. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (pp. 1599-1603). [7094735] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094735