Autors: Hristov H., Draganov, I. R. Title: Communication Channel Coding for Small Hydroelectric Power Plants Keywords: decoding, encoding, errors, Hamming, reliabilityAbstract: Information coding is a fundamental component of modern communication systems, serving not only as a means for data protection through encryption and decryption but also as a key factor in improving transmission reliability. The development and enhancement of error detection and correction algorithms are essential for the design of robust and secure wireless communication channels. In this paper, a simulation model is developed in the MATLAB/Simulink environment to investigate noise-resilient coding based on the Hamming method. Random binary sequences are generated, encoded, and transmitted through a channel affected by additive white Gaussian noise (AWGN). The impact of noise on transmission quality is analyzed by evaluating the number of erroneous and recovered bits after decoding. The obtained results demonstrate the effectiveness of Hamming codes for single-error correction and show improved data transmission reliability under noisy conditions, confirming their applicability in wireless communication systems for monitoring and control of energy facilities. References - M. M. Ali, S. J. Hashim, M. A. Chaudhary, G. Ferré, F. Z. Rokhani, Z. Ahmad, "A reviewing approach to analyze the advancements of error detection and correction codes in channel coding with emphasis on LPWAN and IoT systems," IEEE Access, vol. 11, pp. 127077-127097, 2023
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Issue
| 2026 61st International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2026 - Proceedings of Papers, pp. 67-70, 2026, Serbia, https://doi.org/10.1109/ICEST71230.2026.11623545 |
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