Semi-blind CoMP system with multiple-CFO estimation and ICA based equalization

Yufei Jiang, Xu Zhu, Eng Lim, Hai Lin, Yi Huang

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

    1 Citation (Scopus)

    Abstract

    We propose an orthogonal frequency division multiplexing (OFDM) based semi-blind coordinated multi-point (CoMP) system, with a low complexity estimation approach for multiple carrier frequency offsets (CFOs), and an equalization structure based on the independent component analysis (ICA). Our work is different in that a small number of well-designed pilot symbols are employed to kill two birds with one stone. On the one hand, using the structure of pilots, a complex multi-dimensional search for multiple CFOs is divided into a series of low-complexity mono-dimensional searches. On the other hand, the cross-correlation between the transmitted and the received pilot symbols is explored to allow elimination of the remaining ambiguity in the ICA equalized signals. Simulation results show that with a low training overhead of 3.1%, the proposed semi-blind system can achieve a bit error rate (BER) performance close to the ideal case with perfect channel state information (CSI) and no CFO at the receiver.

    Original languageEnglish
    Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
    Pages3783-3788
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
    Duration: 3 Dec 20127 Dec 2012

    Publication series

    NameProceedings - IEEE Global Communications Conference, GLOBECOM
    ISSN (Print)2334-0983
    ISSN (Electronic)2576-6813

    Conference

    Conference2012 IEEE Global Communications Conference, GLOBECOM 2012
    Country/TerritoryUnited States
    CityAnaheim, CA
    Period3/12/127/12/12

    Keywords

    • OFDM
    • carrier frequency offset (CFO)
    • coordinated multi-point (CoMP)
    • independent component analysis (ICA)

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