Resource tradeoffs in distributed subspace tracking over the wireless medium

Matthew Nokleby, Waheed Uz Zaman Bajwa

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

2 Scopus citations

Abstract

This paper studies distributed subspace tracking in wireless networks based on consensus averaging. Most prior approaches to this require the exchange of many inter-node messages between the arrival of new measurements, forcing communications to happen at a faster timescale than measurements. By contrast, this paper proposes a technique, termed hierarchical subspace tracking, which leverages recent advances in consensus over wireless networks in order to track subspaces when communications and measurements occur on the same timescale. It is shown that the resource consumption of hierarchical subspace tracking scales slowly in the size of the network. Further, it is shown that the convergence speed of hierarchical subspace tracking is the same as if measurements were known globally.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages823-826
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing

Fingerprint Dive into the research topics of 'Resource tradeoffs in distributed subspace tracking over the wireless medium'. Together they form a unique fingerprint.

Cite this