Advanced filter bank based approach for blocker detection in LTE systems

Thomas Schlechter, Mario Huemer

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

10 Citations (Scopus)

Abstract

Power efficiency is an important issue in mobile communication systems. Especially for mobile user equipments (UE), the energy budget, limited by a battery, has to be treated carefully. In fact, though, quite an amount of energy is wasted in todays UEs, as analog and digital frontend (AFE/DFE) in communication systems are designed for worst case scenarios. Therefore, for most real transmission processes those are overengineered concerning e.g. amplifier linearity and filter slope steepnesses. Gaining information about the instantaneous spectral allocation of the UE's environment highly supports optimal frontend configuration for adequate energy consumption. This paper introduces an efficient concept for spectrally sensing a Long Term Evolution (LTE) UE's environment leading to an intelligent DFE. Low complex filter chains for different channel bandwidths based on a dyadic structure, containing mainly infinite impulse response (IIR) filters will be discussed. Furthermore, simulation results for the 20MHz test case will be given.

Original languageEnglish
Title of host publication2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
PublisherIEEE
Pages2189-2192
Number of pages4
ISBN (Print)9781424494736
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil
Duration: 15 May 201118 May 2011

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Country/TerritoryBrazil
CityRio de Janeiro
Period15.05.201118.05.2011

Keywords

  • Complexity theory
  • Band pass filters
  • Signal resolution
  • Bandwidth
  • 3G mobile communication
  • Interference
  • Energy consumption

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