Performance driven symbol adaptation for precoded downlink and point-to-point MIMO systems

C. Masouros, E. Alsusa

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

    Abstract

    This paper proposes a dynamic symbol adaptation scheme for downlink and point-to-point multiple input multiple output (MIMO) systems aiming at the minimization of the overall system bit error rate. The proposed scheme adaptively changes the order or the values of the symbols to be transmitted within a sub-frame of symbols with the objective to enhance the received symbols' power. The adaptation is based on the instantaneous interference between the symbols taking into account the channel's characteristics as well as the actual symbol values. This procedure is targeted to optimizing, rather than strictly minimizing the interference between the symbols. In this way, constructive instantaneous interference is utilized in enhancing the decision variables at the receiver on a symbol-by-symbol basis, so that detection is made more reliable. The proposed scheme can be used in conjunction with various conventional MIMO precoding and detection techniques. The presented simulations show that it provides significant benefits to the corresponding conventional system's error rate performance. © 2012 IEEE.
    Original languageEnglish
    Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC|IEEE Wireless Commun. Networking Conf. WCNC
    PublisherIEEE
    Pages438-442
    Number of pages4
    ISBN (Print)9781467304375
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris
    Duration: 1 Jul 2012 → …

    Conference

    Conference2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
    CityParis
    Period1/07/12 → …

    Fingerprint

    Dive into the research topics of 'Performance driven symbol adaptation for precoded downlink and point-to-point MIMO systems'. Together they form a unique fingerprint.

    Cite this