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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2017 / Cilt: 17 - Sayı: 2

A COMPUTATIONAL EFFICIENT DATA DETECTION METHOD FOR DOWNLINK OF AN MC-CDMA SYSTEM

Nihat KABAOĞLU
Rana ORTAÇ KABAOĞLU
Pages
3497–3501
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is illustrated that the proposed algorithm outperforms the MMSE.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, an Expectation-Maximization (EM) based iterative data detection method for downlink of a multicarrier system is proposed.
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Key Findings & Data:The performance of the resulting algorithm is compared with Minimum Mean Squared Error (MMSE) estimator in terms of Symbol Error Rate (SER) for downlink of a Multi Carrier-Code Division Multiple Access (MC-CDMA) system in the presence of frequency selective channels using computer simulations.
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Conclusion & Impact:It is illustrated that the proposed algorithm outperforms the MMSE.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, an Expectation-Maximization (EM) based iterative data detection method for downlink of a multicarrier system is proposed. The proposed method has low computational cost when compared with the other iterative ones since it does not require any matrix inversion if the requirements on users' data are met. The performance of the resulting algorithm is compared with Minimum Mean Squared Error (MMSE) estimator in terms of Symbol Error Rate (SER) for downlink of a Multi Carrier-Code Division Multiple Access (MC-CDMA) system in the presence of frequency selective channels using computer simulations. It is illustrated that the proposed algorithm outperforms the MMSE.

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Cite This Article

KABAOĞLU, N., KABAOĞLU, R. O. (2022). A COMPUTATIONAL EFFICIENT DATA DETECTION METHOD FOR DOWNLINK OF AN MC-CDMA SYSTEM. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 17 - Sayı: 2, 3497–3501. https://ajindex.com/articles/543575

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