Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA

Ilkka Moilanen, Paavo Hahtola

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

    2 Citations (Scopus)

    Abstract

    In this paper, we study the speech user performance of selected parallel interference cancellation (PIC) algorithms in a single-cell high speed uplink packet access (HSUPA) system. To combat intersymbol interference (ISI), single-user chip-level minimum mean-squared error (MMSE) equalizer is used to detect the data users. PIC is applied to suppress the interference from data users to speech users, and RAKE to detect the speech users. As an input to the PIC stage, we may use the hard or soft symbol decisions (HD, SD) from the data users' demodulator or decoder outputs. The latter requires re-encoding of the decoded symbols. This adds to complexity, but increases also the reliability of the interference estimates. Results and analysis are provided for both ideal and MMSE channel estimation (CE). We show that the combination of PIC and RAKE outperforms the simple MMSE equalization in all studied cases. Using re-encoded soft symbol decisions for interference estimate calculation always leads to the best performance. However, in some scenarios the performance loss due to using the soft symbol decisions from the demodulator output is almost negligible. (9 refs.)
    Original languageEnglish
    Title of host publicationProceedings
    Subtitle of host publicationIEEE Wireless Communications and Networking Conference, WCNC 2009
    Place of PublicationPiscataway, NJ, USA
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Print)978-1-4244-2947-9, 978-1-4244-2948-6
    DOIs
    Publication statusPublished - 2009
    MoE publication typeA4 Article in a conference publication
    EventIEEE Wireless Communications and Networking Conference, WCNC 2009 - Budapest, Hungary
    Duration: 5 Apr 20098 Apr 2009

    Conference

    ConferenceIEEE Wireless Communications and Networking Conference, WCNC 2009
    Abbreviated titleWCNC 2009
    CountryHungary
    CityBudapest
    Period5/04/098/04/09

    Fingerprint

    Channel estimation
    Demodulators
    Intersymbol interference
    Equalizers

    Cite this

    Moilanen, I., & Hahtola, P. (2009). Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA. In Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2009 Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/WCNC.2009.4917893
    Moilanen, Ilkka ; Hahtola, Paavo. / Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA. Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2009. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2009.
    @inproceedings{cd5bfd4adf564e848e1dc69993a563eb,
    title = "Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA",
    abstract = "In this paper, we study the speech user performance of selected parallel interference cancellation (PIC) algorithms in a single-cell high speed uplink packet access (HSUPA) system. To combat intersymbol interference (ISI), single-user chip-level minimum mean-squared error (MMSE) equalizer is used to detect the data users. PIC is applied to suppress the interference from data users to speech users, and RAKE to detect the speech users. As an input to the PIC stage, we may use the hard or soft symbol decisions (HD, SD) from the data users' demodulator or decoder outputs. The latter requires re-encoding of the decoded symbols. This adds to complexity, but increases also the reliability of the interference estimates. Results and analysis are provided for both ideal and MMSE channel estimation (CE). We show that the combination of PIC and RAKE outperforms the simple MMSE equalization in all studied cases. Using re-encoded soft symbol decisions for interference estimate calculation always leads to the best performance. However, in some scenarios the performance loss due to using the soft symbol decisions from the demodulator output is almost negligible. (9 refs.)",
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    Moilanen, I & Hahtola, P 2009, Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA. in Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2009. IEEE Institute of Electrical and Electronic Engineers , Piscataway, NJ, USA, IEEE Wireless Communications and Networking Conference, WCNC 2009, Budapest, Hungary, 5/04/09. https://doi.org/10.1109/WCNC.2009.4917893

    Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA. / Moilanen, Ilkka; Hahtola, Paavo.

    Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2009. Piscataway, NJ, USA : IEEE Institute of Electrical and Electronic Engineers , 2009.

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

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    N2 - In this paper, we study the speech user performance of selected parallel interference cancellation (PIC) algorithms in a single-cell high speed uplink packet access (HSUPA) system. To combat intersymbol interference (ISI), single-user chip-level minimum mean-squared error (MMSE) equalizer is used to detect the data users. PIC is applied to suppress the interference from data users to speech users, and RAKE to detect the speech users. As an input to the PIC stage, we may use the hard or soft symbol decisions (HD, SD) from the data users' demodulator or decoder outputs. The latter requires re-encoding of the decoded symbols. This adds to complexity, but increases also the reliability of the interference estimates. Results and analysis are provided for both ideal and MMSE channel estimation (CE). We show that the combination of PIC and RAKE outperforms the simple MMSE equalization in all studied cases. Using re-encoded soft symbol decisions for interference estimate calculation always leads to the best performance. However, in some scenarios the performance loss due to using the soft symbol decisions from the demodulator output is almost negligible. (9 refs.)

    AB - In this paper, we study the speech user performance of selected parallel interference cancellation (PIC) algorithms in a single-cell high speed uplink packet access (HSUPA) system. To combat intersymbol interference (ISI), single-user chip-level minimum mean-squared error (MMSE) equalizer is used to detect the data users. PIC is applied to suppress the interference from data users to speech users, and RAKE to detect the speech users. As an input to the PIC stage, we may use the hard or soft symbol decisions (HD, SD) from the data users' demodulator or decoder outputs. The latter requires re-encoding of the decoded symbols. This adds to complexity, but increases also the reliability of the interference estimates. Results and analysis are provided for both ideal and MMSE channel estimation (CE). We show that the combination of PIC and RAKE outperforms the simple MMSE equalization in all studied cases. Using re-encoded soft symbol decisions for interference estimate calculation always leads to the best performance. However, in some scenarios the performance loss due to using the soft symbol decisions from the demodulator output is almost negligible. (9 refs.)

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    Moilanen I, Hahtola P. Performance comparison of feasible MMSE-PIC algorithms with channel estimation for HSUPA. In Proceedings: IEEE Wireless Communications and Networking Conference, WCNC 2009. Piscataway, NJ, USA: IEEE Institute of Electrical and Electronic Engineers . 2009 https://doi.org/10.1109/WCNC.2009.4917893