System identification in wireless relay networks via Gaussian process iterated conditioning on the modes estimation

Ido Nevat*, Gareth W. Peters, Jinhong Yuan, Iain B. Collings

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

We present a flexible class of stochastic models that are developed for cooperative wireless relay networks systems, in which the relay processing functionality is not known at the destination. The challenge is then to perform system identification in this wireless relay network. We first construct a statistical model based on a representation of the system using Gaussian Processes. We then develop a computationally efficient algorithm which is based on the Iterated Conditioning on the Modes estimation to undertake system identification for each relay in the presence of partial Channel State Information (CSI). We evaluate the identification performance for different non-linear relay functionalities.

Original languageEnglish
Title of host publication2012 IEEE Wireless Communications and Networking Conference (WCNC)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages369-374
Number of pages6
ISBN (Electronic)9781467304375
ISBN (Print)9781467304368
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France
Duration: 1 Apr 20124 Apr 2012

Other

Other2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
CountryFrance
CityParis
Period1/04/124/04/12

Keywords

  • Gaussian processes
  • Kernel methods
  • Relay networks
  • System identification

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