ADVANCED DIGITAL COMMUNICATION SYSTEMS AND SIGNAL PROCESSING TECHNIQUES FOR EFFICIENT, RELIABLE, AND HIGH-SPEED WIRELESS NETWORK PERFORMANCE OPTIMIZATION

Abstract

Investigation of advanced digital communication systems and signal-processing techniques was presented to achieve enhanced efficiency, reliability, and high-speed performance. Rapid expansion of data-intensive applications and heterogeneous network environments created substantial challenges for conventional communication systems. The methodology emphasized integration of advanced digital communication architectures, signal-processing techniques, and intelligent algorithms to improve overall system performance. Results obtained using the MATLAB/Simulink environment demonstrated significant performance improvements, including a 35% increase in spectral efficiency and a 28% reduction in bit error rate. Additionally, latency was reduced by 20%, making the system suitable for real-time applications. Integration of intelligent signal-processing algorithms, along with machine-learning-based channel estimation, improved signal detection accuracy, particularly in noisy environments. Robustness of the system was further evaluated under different signal-to-noise ratio (SNR) conditions ranging from 0 to 30 dB, confirming stable performance with minimal degradation. Findings from this study clearly demonstrated the potential benefits of incorporating advanced signal-processing techniques into digital communication systems. The system can therefore be considered a scalable and energy-efficient solution for next-generation wireless communication networks, including 5G and emerging 6G technologies.