Citation:

Vikram Nattamai Sankaran, Dr. M. Sivasankari, Rakesh Thoppaen Suresh Babu, 2022. "Wireless Intelligence: AI-Driven Enhancements in Communication Networks" ESP Journal of Engineering & Technology Advancements  2(3): 62-75.

Abstract:

The integration of artificial intelligence (AI) into wireless communication networks represents a seismic shift in technological capabilities, heralding a new era of network intelligence. This paper introduces pioneering approaches that leverage AI to redefine the boundaries of wireless communication, moving beyond incremental improvements to achieve ground-breaking advancements. We present an innovative framework for AI-driven network management that combines advanced machine learning algorithms with real-time adaptive systems, enabling unprecedented levels of automation and efficiency. By exploring novel applications such as self-healing networks, context-aware optimization, and predictive maintenance, we demonstrate how AI can pre-emptively address network challenges and dynamically adjust to evolving demands. Our research includes exclusive case studies and experimental insights that highlight the transformative potential of AI to revolutionize network architecture and performance. The findings reveal how these cutting-edge AI techniques not only enhance current capabilities but also set the stage for a future where networks operate with unparalleled intelligence and autonomy. This paper offers a visionary perspective on the future of wireless communication, showcasing AI as the catalyst for a new technological renaissance.

References:

[1] C. Liang et al., "Generative AI-driven Semantic Communication Networks: Architecture, Technologies and Applications," in IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2024.3435524. keywords: {Semantics;Surveys;Knowledge engineering;Knowledge management;Computer architecture;Wireless networks;Resource management;Semantic communication;AIGC;Generative AI;Intelligent wireless networks;Knowledge management}

[2] Muhammadu Ansari, Sadamiro A. O, 2021. "Secured Low Power Wireless Sensor Network By Using Lion Optimization Algorithm" ESP Journal of Engineering & Technology Advancements 1(2): 14-20.[PDF]

[3] Vikram Nattamai Sankaran, 2021. "Advanced AI Techniques in Wireless MIMO Communication: Improving Throughput, Latency, and Robustness"ESP Journal of Engineering & Technology Advancements 1(2): 94-100.

[4] Shamsuddin Ali Akbari A J, Mohammed Ali Hussian, 2022. "An Effective Malware Detection Algorithm for WSN 2(1): 1-4.

[5] A. Antony Simeon Raj, K. Jebastin, B. Vadivel, 2022. "Blockchain based Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks" ESP Journal of Engineering & Technology Advancements 2(2): 10-14.

[6] Vikram Nattamai Sankaran, Dr. N. Rajkumar, 2021. "Wireless Network Powered by AI: A Leap towards Ultra-Connectivity" ESP Journal of Engineering & Technology Advancements 1(1): 65-82.

[7] Zhang, H., & Zhang, H. (2020). "Artificial Intelligence in Wireless Communication Networks: A Survey." IEEE Access, 8, 137865-137879. doi:10.1109/ACCESS.2020.3014646.

[8] Zhou, J., Zhang, Y., & Liu, X. (2019). "AI-Enabled Wireless Networks: A Comprehensive Review." IEEE Communications Surveys & Tutorials, 21(4), 3623-3652. doi:10.1109/COMST.2019.2932480.

[9] Jiang, H., Zhang, L., & Zhang, M. (2021). "Machine Learning for Wireless Communication Networks: A Tutorial." IEEE Journal on Selected Areas in Communications, 39(5), 1393-1413. doi:10.1109/JSAC.2021.3065182.

[10] Liu, Y., & Chen, X. (2020). "Deep Learning in Wireless Communications: A Review." IEEE Wireless Communications, 27(3), 63-71. doi:10.1109/MWC.001.1900375.

[11] Wang, Q., Zhang, X., & Zhang, C. (2021). "AI-Assisted Network Management in 5G and Beyond Networks: Challenges and Opportunities." IEEE Network, 35(6), 68-75. doi:10.1109/MNET.011.2000419.

[12] Li, X., Liu, R., & Lu, Y. (2020). "The Role of Artificial Intelligence in Next-Generation Wireless Networks." IEEE Wireless Communications Letters, 9(2), 156-159. doi:10.1109/LWC.2020.2964846.

[13] Yu, H., & Zhang, Z. (2019). "Artificial Intelligence for Network Optimization in 5G Networks." IEEE Transactions on Network and Service Management, 16(4), 1568-1580. doi:10.1109/TNSM.2019.2930397.

[14] Chen, W., & Wang, S. (2021). "A Survey on AI-Driven Resource Management in Wireless Networks." IEEE Communications Magazine, 59(1), 28-34. doi:10.1109/MCOM.001.2000345.

[15] Zhang, R., & Wang, Q. (2020). "Machine Learning for Wireless Communications: A Comprehensive Review." IEEE Transactions on Mobile Computing, 19(4), 802-818. doi:10.1109/TMC.2019.2927931.

[16] Feng, H., & Wang, X. (2021). "Intelligent Resource Management with Machine Learning for 5G Networks." IEEE Transactions on Wireless Communications, 20(7), 4500-4512. doi:10.1109/TWC.2021.3062125.

[17] Xiao, Z., & Tang, J. (2020). "AI-Based Self-Optimizing Networks for 5G and Beyond." IEEE Network, 34(4), 96-102. doi:10.1109/MNET.001.1900387.

[18] Gong, W., & Wu, S. (2020). "Deep Learning for Wireless Communication Networks: A Review." IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1133-1146. doi:10.1109/TNNLS.2019.2917787.

[19] Zhang, J., & Lu, X. (2019). "Artificial Intelligence Techniques in Wireless Communication: A Survey." IEEE Transactions on Cognitive Communications and Networking, 5(2), 237-248. doi:10.1109/TCCN.2019.2916218.

[20] Liu, Z., & Yang, X. (2021). "Leveraging AI for Network Slicing in 5G and Beyond." IEEE Transactions on Network and Service Management, 18(2), 1176-1188. doi:10.1109/TNSM.2021.3074526.

[21] Huang, Y., & Li, Q. (2020). "AI-Driven Optimization for Wireless Communication Networks: A Survey." IEEE Communications Surveys & Tutorials, 22(1), 210-228. doi:10.1109/COMST.2019.2947882.

[22] Ma, H., & Han, Z. (2021). "Reinforcement Learning for Wireless Network Optimization: A Survey." IEEE Transactions on Wireless Communications, 20(6), 3872-3886. doi:10.1109/TWC.2021.3078380.

[23] Wang, S., & Li, X. (2019). "Artificial Intelligence for Network Management in 5G Systems." IEEE Wireless Communications, 26(2), 56-62. doi:10.1109/MWC.001.1900156.

[24] Chen, L., & Xu, M. (2020). "AI and Machine Learning in Wireless Networks: Applications and Challenges." IEEE Network, 34(5), 102-108. doi:10.1109/MNET.001.1900493.

[25] Zhou, D., & Zhang, J. (2021). "AI-Based Techniques for Dynamic Spectrum Management in Wireless Networks." IEEE Transactions on Communications, 69(7), 4563-4575. doi:10.1109/TCOMM.2021.3074291.

[26] Liu, T., & Zhang, Y. (2020). "Emerging Trends in AI-Enhanced Wireless Communication Systems." IEEE Communications Magazine, 58(8), 12-18. doi:10.1109/MCOM.001.2000205.

Keywords:

AI in Wireless Networks, Wireless Network Intelligence, Artificial Intelligence Optimization, Machine Learning for Network Management, Deep Learning in Communication Networks, AI-Enhanced Network Performance.