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Compact modeling and management of reconfiguration in digital channelizer implementation

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

Details

Original languageEnglish
Title of host publication2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PublisherIEEE
Pages595-599
Number of pages5
ISBN (Electronic)9781509045457
DOIs
Publication statusPublished - 19 Apr 2017
Publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing -
Duration: 1 Jan 1900 → …

Conference

ConferenceIEEE Global Conference on Signal and Information Processing
Period1/01/00 → …

Abstract

In this work, a novel digital channelizer design is developed through the use of a compact, system-level modeling approach. The model efficiently captures key properties of a digital channelizer system and its time-varying operation. The model applies powerful Markov Decision Process (MDP) techniques in new ways for design optimization of reconfigurable channelization processing. The result is a promising methodology for design and implementation of digital channelizers that adapt dynamically to changing use cases and stochastic environments while optimizing simultaneously for multiple conflicting performance goals. The method is used to employ an MDP to generate a runtime reconfiguration policy for a time-varying environment. Through extensive simulations, the robustness of the adaptation is demonstrated in comparison with the prior state of the art.

Keywords

  • Channelizer, Markov decision processes, Reconfigurable architectures, Software defined radio

Publication forum classification

Field of science, Statistics Finland