MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems

Khalid Mahmood; Syed Muhammad Asad; Azzedine Zerguine; Muhammad Moinuddin

doi:10.1109/SSD.2015.7348092

MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems

Khalid Mahmood, Syed Muhammad Asad, Azzedine Zerguine, Muhammad Moinuddin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, a decision feedback equaliser (DFE) is implemented based on a constrained least mean square (LMS) algorithm for multiple input multiple output code division multiple access (MIMO-CDMA) systems. The proposed algorithm is equipped with the knowledge of the number of subscribers, the spreading sequence length, the noise variance as well as the variance of the multiple access interference (MAI) plus noise. Unlike previous works, here the MAI is introduced as a constraint as well. The introduction of these two constraints gives the proposed algorithm an excellent performance. Finally, simulation results conducted to support the theoretical findings show that the proposed algorithm outperforms various constrained implementations of the LMS algorithm.

Original language	English
Title of host publication	12th International Multi-Conference on Systems, Signals and Devices, SSD 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479917587
DOIs	https://doi.org/10.1109/SSD.2015.7348092
State	Published - 4 Dec 2015

Publication series

Name	12th International Multi-Conference on Systems, Signals and Devices, SSD 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/SSD.2015.7348092

Cite this

Mahmood, K., Asad, S. M., Zerguine, A., & Moinuddin, M. (2015). MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems. In 12th International Multi-Conference on Systems, Signals and Devices, SSD 2015 Article 7348092 (12th International Multi-Conference on Systems, Signals and Devices, SSD 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD.2015.7348092

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title = "MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems",

abstract = "In this work, a decision feedback equaliser (DFE) is implemented based on a constrained least mean square (LMS) algorithm for multiple input multiple output code division multiple access (MIMO-CDMA) systems. The proposed algorithm is equipped with the knowledge of the number of subscribers, the spreading sequence length, the noise variance as well as the variance of the multiple access interference (MAI) plus noise. Unlike previous works, here the MAI is introduced as a constraint as well. The introduction of these two constraints gives the proposed algorithm an excellent performance. Finally, simulation results conducted to support the theoretical findings show that the proposed algorithm outperforms various constrained implementations of the LMS algorithm.",

author = "Khalid Mahmood and Asad, {Syed Muhammad} and Azzedine Zerguine and Muhammad Moinuddin",

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year = "2015",

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doi = "10.1109/SSD.2015.7348092",

language = "English",

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Mahmood, K, Asad, SM, Zerguine, A & Moinuddin, M 2015, MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems. in 12th International Multi-Conference on Systems, Signals and Devices, SSD 2015., 7348092, 12th International Multi-Conference on Systems, Signals and Devices, SSD 2015, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SSD.2015.7348092

MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems. / Mahmood, Khalid; Asad, Syed Muhammad; Zerguine, Azzedine et al.
12th International Multi-Conference on Systems, Signals and Devices, SSD 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7348092 (12th International Multi-Conference on Systems, Signals and Devices, SSD 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this work, a decision feedback equaliser (DFE) is implemented based on a constrained least mean square (LMS) algorithm for multiple input multiple output code division multiple access (MIMO-CDMA) systems. The proposed algorithm is equipped with the knowledge of the number of subscribers, the spreading sequence length, the noise variance as well as the variance of the multiple access interference (MAI) plus noise. Unlike previous works, here the MAI is introduced as a constraint as well. The introduction of these two constraints gives the proposed algorithm an excellent performance. Finally, simulation results conducted to support the theoretical findings show that the proposed algorithm outperforms various constrained implementations of the LMS algorithm.

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Mahmood K, Asad SM, Zerguine A, Moinuddin M. MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems. In 12th International Multi-Conference on Systems, Signals and Devices, SSD 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7348092. (12th International Multi-Conference on Systems, Signals and Devices, SSD 2015). doi: 10.1109/SSD.2015.7348092

MAI plus noise-constrained LMS-based algorithm for MIMO-CDMA DFE systems

Abstract

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ASJC Scopus subject areas

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