Intelligent Networking AI-Driven Optimization in 6g Communication Systems

Authors: Prithik R, Sukumar P

Abstract: As we approach the era of 6G, communication networks are evolving beyond traditional capabilities to become context-aware, self-healing, and intelligent. This paper explores the integration of Artificial Intelligence (AI) in next- generation communication systems, focusing on intelligent routing, dynamic bandwidth allocation, and latency minimization. We present a prototype model that employs reinforcement learning to optimize real-time traffic flow and network congestion in ultra-dense urban environments. The study also highlights key challenges in AI-network integration, including energy efficiency, data privacy, and interoperability. This framework aims to pave the way for seamless, high-speed, and intelligent global connectivity.

 

 

Published by: vikaspatanker

Authors: Author 1, Author 2, Author 3, Author 4

Abstract: Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of "de Finibus Bonorum et Malorum" (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, "Lorem ipsum dolor sit amet.

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Published by: vikaspatanker

Analysis of Thermal Performance of 3D Model Solar Photovoltaic Panel
Authors:-Assistant Professor Mr. T. Siva Krishna, K. Yesu Raju, M. Vinay Kumar, G. Dattu Babu Rao, J. Sushwanth

Abstract-:Solar panels have become a cornerstone of modern renewable energy systems, offering a clean and sustainable alternative to fossil fuels. With increasing demand for green power, photovoltaic (PV) technology is now widely used in residential, commercial, and industrial sectors. However, the efficiency of solar panels is heavily influenced by their operating temperature, which highlights the need for efficient thermal management systems. This project aims to investigate the thermal behaviour of solar panels with different photovoltaic cell materials—including Silicon, Gallium Arsenide, Cadmium Telluride, and Perovskites—under varying fin thicknesses (3mm, 5mm, and 7mm) using ANSYS Workbench. A detailed finite element thermal analysis was carried out to simulate real-time solar heating conditions. Aluminium fins were incorporated to enhance heat dissipation via passive cooling. Convective and radiative losses were modelled accurately to simulate realistic boundary conditions. To assess the influence of computational accuracy, simulations were performed with two mesh sizes: 0.1mm and 0.05mm. The finer mesh (0.05 mm) revealed more precise temperature gradients and improved resolution in hotspot identification across different materials and fin configurations. Overall, the study provides valuable insights for optimizing passive cooling systems for solar panels and demonstrates how simulation can guide the material and design selection process for better thermal performance and reliability.

DOI: 10.61137/ijsret.vol.11.issue3.106

Published by: Kajal Tripathi