NN-Based Channel Equalization and Symbol Estimation for SC-FDMA with Channel Coding and Higher-Order Modulation
Karakas O, Fakharizadeh P, Breiling M, Gerstacker W (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2025 14th International ITG Conference on Systems, Communications and Coding, SCC 2025
Event location: Karlsruhe, DEU
ISBN: 9798331522896
DOI: 10.1109/IEEECONF62907.2025.10949128
Abstract
We design a fully connected neural network (FNN)-based scheme for joint channel equalization and symbol es-timation tasks in Single-Carrier Frequency Division Multiple Access (SC-FDMA) transmission over a dispersive block-fading channel. It is demonstrated that the proposed scheme is a reliable estimator in terms of soft estimation quality and it can be seamlessly combined with channel decoders that take a posteriori probability (APP) as input. The proposed scheme is evaluated against linear minimum mean-squared error (MMSE) equalization and demonstrates superior performance for BPSK, QAM16, and QAM64 modulations in terms of bit error rate (BER) and block error rate (BLER) for the 5G Clustered Delay Line (CDL) channel model.
Authors with CRIS profile
Pouya Fakharizadeh
Lehrstuhl für Digitale Übertragung (IDC)
Wolfgang Gerstacker
Lehrstuhl für Digitale Übertragung (IDC)
Involved external institutions
Germany (DE)How to cite
APA:
Karakas, O., Fakharizadeh, P., Breiling, M., & Gerstacker, W. (2025). NN-Based Channel Equalization and Symbol Estimation for SC-FDMA with Channel Coding and Higher-Order Modulation. In 2025 14th International ITG Conference on Systems, Communications and Coding, SCC 2025. Karlsruhe, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Karakas, Oemer, et al. "NN-Based Channel Equalization and Symbol Estimation for SC-FDMA with Channel Coding and Higher-Order Modulation." Proceedings of the 14th International ITG Conference on Systems, Communications and Coding, SCC 2025, Karlsruhe, DEU Institute of Electrical and Electronics Engineers Inc., 2025.
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