Integration of Artificial Intelligence in Modern Communication Systems
DOI:
https://doi.org/10.64803/jocsaic.v1i1.2Keywords:
Artificial Intelligence, Communication Systems, Machine Learning, Network Optimization, Data SecurityAbstract
The integration of Artificial Intelligence (AI) in modern communication systems marks a transformative era in the way data is transmitted, processed, and interpreted. This study explores the role of AI technologies—including machine learning, deep learning, and natural language processing—in enhancing the performance, efficiency, and security of communication networks. By examining various AI-driven applications such as intelligent routing, automated network management, and real-time speech and image recognition, this research highlights the significant improvements in latency reduction, bandwidth optimization, and system adaptability. Furthermore, the paper discusses challenges in AI implementation, including data privacy, computational complexity, and ethical concerns. The findings emphasize that while AI presents vast opportunities for innovation in communication systems, a robust framework is necessary to ensure reliability, transparency, and sustainable development.
Downloads
References
[1] A. Uzoka, E. Cadet, and P. U. Ojukwu, “The role of telecommunications in enabling Internet of Things (IoT) connectivity and applications,” Compr. Res. Rev. Sci. Technol., vol. 2, no. 02, pp. 55–73, 2024.
[2] A. Bozkurt, “Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift,” Asian J. Distance Educ., vol. 18, no. 1, 2023.
[3] A. Benfradj, A. Thaljaoui, T. Moulahi, R. U. Khan, A. Alabdulatif, and P. Lorenz, “Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions,” J. King Saud Univ. Inf. Sci., vol. 36, no. 1, p. 101892, 2024.
[4] X. Wang, Y. Sun, and D. Ding, “Adaptive dynamic programming for networked control systems under communication constraints: A survey of trends and techniques,” Int. J. Netw. Dyn. Intell., pp. 85–98, 2022.
[5] V. Ramamoorthi, “AI-Enhanced Performance Optimization for Microservice-Based Systems,” J. Adv. Comput. Syst., vol. 4, no. 9, pp. 1–7, 2024.
[6] N. Senthil and A. Sumathi, “INTELLIGENT ROUTING ALGORITHMS FOR 6G WIRELESS NETWORKS: A REVIEW AND ANALYSIS.,” Int. J. Adv. Res. Comput. Sci., vol. 15, no. 5, 2024.
[7] Z. H. Ali, N. El-Rashidy, M. A. Elhosseini, and S. M. Ayyad, “SDN-based reliable emergency message routing schema using Digital Twins for adjusting beacon transmission in VANET,” J. Netw. Comput. Appl., vol. 230, p. 103944, 2024.
[8] W.-C. Hu, H.-T. Wu, H.-H. Cho, and F.-H. Tseng, “Optimal route planning system for logistics vehicles based on artificial intelligence,” J. Internet Technol., vol. 21, no. 3, pp. 757–764, 2020.
[9] B. Ravi and U. Verma, “Spectrum Allocation in 5G and Beyond Intelligent Ubiquitous Networks,” Int. J. Netw. Manag., vol. 35, no. 1, p. e2315, 2025.
[10] M. K. S. Uddin, “A Review of Utilizing Natural Language Processing and AI For Advanced Data Visualization in Real-Time Analytics,” Glob. Mainstream J., vol. 1, no. 4, pp. 10–62304, 2024.
[11] S. M. Inavolu, “Exploring AI-driven customer service: Evolution, architectures, opportunities, challenges and future directions,” Int. J. Eng. Adv. Technol., vol. 13, no. 3, pp. 156–163, 2024.
[12] P. Nama, “AI-Powered Mobile Applications: Revolutionizing User Interaction Through Intelligent Features and Context-Aware Services,” J. Emerg. Technol. Innov. Res., vol. 10, no. 01, pp. g611–g620, 2023.
[13] M. I. Khan, A. Arif, and A. R. A. Khan, “AI’s Revolutionary Role in Cyber Defense and Social Engineering,” Int. J. Multidiscip. Sci. Arts, vol. 3, no. 4, pp. 57–66, 2024.
[14] H. Raza, “Proactive cyber defense with AI: Enhancing risk assessment and threat detection in cybersecurity ecosystems,” J. Name Missing, 2021.
[15] K. Koufos et al., “Trends in intelligent communication systems: Review of standards, major research projects, and identification of research gaps,” J. Sens. Actuator Networks, vol. 10, no. 4, p. 60, 2021.
[16] A. O. Adeniyi, J. O. Arowoogun, C. A. Okolo, R. Chidi, and O. Babawarun, “Ethical considerations in healthcare IT: A review of data privacy and patient consent issues,” World J. Adv. Res. Rev., vol. 21, no. 2, pp. 1660–1668, 2024.
[17] M. Krichen and M. S. Abdalzaher, “Performance enhancement of artificial intelligence: A survey,” J. Netw. Comput. Appl., p. 104034, 2024.
[18] C. Zhang and Y. Lu, “Study on artificial intelligence: The state of the art and future prospects,” J. Ind. Inf. Integr., vol. 23, p. 100224, 2021.
[19] P. Roy, “Enhancing Real-World Robustness in AI: Challenges and Solutions,” J. Recent Trends Comput. Sci. Eng., vol. 12, no. 1, pp. 34–49, 2024.
[20] Z. Ezam, A. Totakhail, H. Ghafory, and M. Hakimi, “Transformative Impact of Artificial Intelligence on IoT Applications: A Systematic Review of Advancements, Challenges, and Future Trends,” Int. J. Acad. Pract. Res., vol. 3, no. 1, pp. 155–164, 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Siti Khodijah, Muhammad Hasanuddin, Cindy Atika Rizki (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
