Moldoiarov Ularbek Duishobekovich

Background: The telecommunication industry is currently witnessing an unparalleled growth in traffic data with a concomitant growth in the complexity of networks. As operators seek to achieve high availability of the networks, it is almost compulsory to employ the BDA for improved quality of service and increased operational performance. Objective: The study aims to provide a systematic review of the deployment of BDA in enhancing the primary characteristic indicators of telecommunications networks, to include availability of upgraded latency and throughput levels and network dependability. Methods: The research method used was summed up by quantitative analyses of the key performance parameters of the networks, along with the qualitative results of case studies conducted with major telecommunications operators. Information was collected from multiple networks as well as analyzed with the use of machine learning to be able to predict possible performance issues. Results: The study demonstrates that there is the possibility for reducing latency utilizing BDA with enhancements of up to 40%. In addition, the throughput has been raised by an average of 30% and the predictable analytics lead to 25% reducing in network downtime to improve the reliability and satisfaction of the user experience. Conclusion: The information provided in this study highlights the importance of Big Data Analytics for the telecommunication industry, proving that the proper integration can bring tangible improvements to the existing networks. One future development that constitutes the need for innovative analytical technologies is the rise in data traffic and sophisticated network requirements.

Background: As the demand for ultra-fast, low-latency communication continues to rise, Terahertz (THz) communication has emerged as a promising candidate for enabling next-generation 6G networks. However, environmental sensitivity and hardware challenges pose significant limitations. Objective: This study investigates the potential of THz communication to support ultra-high data transfer rates in 6G networks, with a focus on the impact of environmental conditions, hardware complexity, and modulation techniques. Method: Through simulation analysis under both optimal and adverse environmental conditions, the performance of THz communication was assessed. The study also explores emerging materials and adaptive technologies to mitigate performance degradation. Results: Under optimal conditions, THz communication demonstrated the ability to achieve data rates up to 8.5 Tbps with approximately 1 ms latency at 10 THz. However, in high humidity and non-line-of-sight (NLOS) scenarios, performance declined significantly, with the signal-to-noise ratio (SNR) dropping from 35 dB to 18 dB and the bit error rate (BER) increasing from 3×10⁻³ to 4×10⁻². Orthogonal Frequency Division Multiplexing (OFDM) outperformed Quadrature Amplitude Modulation (QAM) in BER under varying conditions. The integration of advanced materials such as graphene and photonic crystals, along with intelligent reflecting surfaces (IRS), showed promise in enhancing signal quality and thermal management. Conclusion: While THz communication exhibits strong potential for supporting the high-speed, low-latency demands of 6G, environmental vulnerabilities and hardware complexity remain key challenges. Future research should prioritize the development of cost-effective, scalable materials and adaptive technologies to improve performance and deployment feasibility in diverse conditions.