A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems

Zhenyu Zhou, Takuro Sato

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    In orthogonal frequency division multiplexing (OFDM) based cellular systems, co-channel interference (CCI) from adjacent interfering base stations (BSs) operating and co-existing with the desired BS in the same frequency channel would greatly degrade the bit error rate (BER) performance of mobile receivers which are near to cell borders. CCI cancellation algorithms by using only one receiving antenna named single antenna interference cancellation (SAIC) have been under intense research. However, most of these algorithms require additional information from interfering signals. Furthermore, the orthogonality of a asynchronous interfering signal is destroyed and therefore, conventional SAIC algorithms cannot be applied. In this paper, we propose a blind SAIC algorithm named least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) for asynchronous interference cancellation. The proposed LMS-BJMLSE algorithm is blind with respect to interfering signals and neither the training sequence (TS) nor pilot signal from interfering signals is needed. Its complexity is independent of channel length compared to the conventional time domain JMLSE algorithm. Simulation results show that the proposed LMS-BJMLSE algorithm could greatly improve the BER performance in both synchronous and asynchronous interference conditions.

    Original languageEnglish
    Title of host publicationIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009 - Tokyo
    Duration: 2009 Sep 132009 Sep 16

    Other

    Other2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009
    CityTokyo
    Period09/9/1309/9/16

    Fingerprint

    Orthogonal frequency division multiplexing
    Communication systems
    Antennas
    Maximum likelihood
    Base stations
    Bit error rate
    Receiving antennas

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Cite this

    Zhou, Z., & Sato, T. (2009). A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC [5449793] https://doi.org/10.1109/PIMRC.2009.5449793

    A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems. / Zhou, Zhenyu; Sato, Takuro.

    IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 2009. 5449793.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Zhou, Z & Sato, T 2009, A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems. in IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC., 5449793, 2009 IEEE 20th Personal, Indoor and Mobile Radio Communications Symposium, PIMRC 2009, Tokyo, 09/9/13. https://doi.org/10.1109/PIMRC.2009.5449793
    Zhou Z, Sato T. A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 2009. 5449793 https://doi.org/10.1109/PIMRC.2009.5449793
    Zhou, Zhenyu ; Sato, Takuro. / A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. 2009.
    @inproceedings{aa2bbb23fe7241909d93b09607f06764,
    title = "A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems",
    abstract = "In orthogonal frequency division multiplexing (OFDM) based cellular systems, co-channel interference (CCI) from adjacent interfering base stations (BSs) operating and co-existing with the desired BS in the same frequency channel would greatly degrade the bit error rate (BER) performance of mobile receivers which are near to cell borders. CCI cancellation algorithms by using only one receiving antenna named single antenna interference cancellation (SAIC) have been under intense research. However, most of these algorithms require additional information from interfering signals. Furthermore, the orthogonality of a asynchronous interfering signal is destroyed and therefore, conventional SAIC algorithms cannot be applied. In this paper, we propose a blind SAIC algorithm named least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) for asynchronous interference cancellation. The proposed LMS-BJMLSE algorithm is blind with respect to interfering signals and neither the training sequence (TS) nor pilot signal from interfering signals is needed. Its complexity is independent of channel length compared to the conventional time domain JMLSE algorithm. Simulation results show that the proposed LMS-BJMLSE algorithm could greatly improve the BER performance in both synchronous and asynchronous interference conditions.",
    author = "Zhenyu Zhou and Takuro Sato",
    year = "2009",
    doi = "10.1109/PIMRC.2009.5449793",
    language = "English",
    isbn = "9781424451234",
    booktitle = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC",

    }

    TY - GEN

    T1 - A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems

    AU - Zhou, Zhenyu

    AU - Sato, Takuro

    PY - 2009

    Y1 - 2009

    N2 - In orthogonal frequency division multiplexing (OFDM) based cellular systems, co-channel interference (CCI) from adjacent interfering base stations (BSs) operating and co-existing with the desired BS in the same frequency channel would greatly degrade the bit error rate (BER) performance of mobile receivers which are near to cell borders. CCI cancellation algorithms by using only one receiving antenna named single antenna interference cancellation (SAIC) have been under intense research. However, most of these algorithms require additional information from interfering signals. Furthermore, the orthogonality of a asynchronous interfering signal is destroyed and therefore, conventional SAIC algorithms cannot be applied. In this paper, we propose a blind SAIC algorithm named least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) for asynchronous interference cancellation. The proposed LMS-BJMLSE algorithm is blind with respect to interfering signals and neither the training sequence (TS) nor pilot signal from interfering signals is needed. Its complexity is independent of channel length compared to the conventional time domain JMLSE algorithm. Simulation results show that the proposed LMS-BJMLSE algorithm could greatly improve the BER performance in both synchronous and asynchronous interference conditions.

    AB - In orthogonal frequency division multiplexing (OFDM) based cellular systems, co-channel interference (CCI) from adjacent interfering base stations (BSs) operating and co-existing with the desired BS in the same frequency channel would greatly degrade the bit error rate (BER) performance of mobile receivers which are near to cell borders. CCI cancellation algorithms by using only one receiving antenna named single antenna interference cancellation (SAIC) have been under intense research. However, most of these algorithms require additional information from interfering signals. Furthermore, the orthogonality of a asynchronous interfering signal is destroyed and therefore, conventional SAIC algorithms cannot be applied. In this paper, we propose a blind SAIC algorithm named least mean square-blind joint maximum likelihood sequence estimation (LMS-BJMLSE) for asynchronous interference cancellation. The proposed LMS-BJMLSE algorithm is blind with respect to interfering signals and neither the training sequence (TS) nor pilot signal from interfering signals is needed. Its complexity is independent of channel length compared to the conventional time domain JMLSE algorithm. Simulation results show that the proposed LMS-BJMLSE algorithm could greatly improve the BER performance in both synchronous and asynchronous interference conditions.

    UR - http://www.scopus.com/inward/record.url?scp=77952826278&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=77952826278&partnerID=8YFLogxK

    U2 - 10.1109/PIMRC.2009.5449793

    DO - 10.1109/PIMRC.2009.5449793

    M3 - Conference contribution

    AN - SCOPUS:77952826278

    SN - 9781424451234

    BT - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

    ER -