Integration of Lossless Data Compression Algorithms with Optical Fiber Transmission: Simulation and Performance Evaluation
DOI:
https://doi.org/10.65405/.v10i37.705Keywords:
Data compression, Huffman coding, LZW, FFT, Optical fiber, OptiSystem, Multimedia communication.Abstract
The rapid growth of digital data has created a strong demand for efficient compression and
reliable high-speed transmission systems. This research presents the design and simulation
of an integrated framework that combines lossless data compression with optical fiber
communication. Two widely used algorithms, Huffman coding and LZW, were implemented
for text compression, achieving an average compression ratio of 1:47, while audio
compression employed a down-sampling technique with Fast Fourier Transform (FFT),
resulting in an average compression ratio of 1:10 with acceptable signal quality. The optical
fiber system was modeled using OptiSystem software, yielding promising results with a Qfactor of 8.46 dB, Bit Error Rate (BER) of 1.28 × 10⁻¹⁷, and Optical Signal-to-Noise Ratio
(OSNR) above 20 dB. These findings confirm the feasibility of integrating compression
algorithms with optical transmission technologies to enhance storage efficiency and longdistance data transfer. The contributions of this work include: (1) comparative evaluation of
Huffman and LZW performance in terms of compression ratio, speed, and memory usage,
(2) analysis of audio compression trade-offs using FFT-based down-sampling, and (3)
validation of the integrated system through fiber-optic simulation. This study provides a
foundation for future hybrid compression frameworks and AI-driven optimizations to support
next-generation multimedia communication systems.
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