Improved Energy Efficiency for Wireless SC MIMO Through Data-Dependent Superimposed Training

Toni Levanen, Markku Renfors

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

    30 Downloads (Pure)

    Abstract

    In this paper, we compare the energy efficiency of a single carrier multiple-input multiple-output communications in terms of the energy per data bit required to achieve desired performance level or throughput. The comparison on energy efficiency is done between traditional time-domain multiplexed training and a more recently introduced data-dependent superimposed training. We extend our earlier single-input multiple-output system to the multiple-input multiple-output case and show how the data-dependent superimposed training based system can achieve better energy efficiency in small and diversity enabled multiple-input multiple-output links. In addition, we present analytical mean squared error results for DDST based MIMO channel estimation and propose methods to improve their accuracy when using short channel estimators.
    Translated title of the contributionImproved Energy Efficiency for Wireless SC MIMO Through Data-Dependent Superimposed Training
    Original languageEnglish
    Title of host publication5th International Symposium on Communications Control and Signal Processing ISCCSP 2012, Rome, Italy, May 2-4, 2012
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4673-0274-6
    DOIs
    Publication statusPublished - 2012
    Publication typeA4 Article in conference proceedings

    Publication series

    NameInternational Symposium on Communications Control and Signal Processing

    Publication forum classification

    • Publication forum level 1

    Fingerprint

    Dive into the research topics of 'Improved Energy Efficiency for Wireless SC MIMO Through Data-Dependent Superimposed Training'. Together they form a unique fingerprint.

    Cite this