IEEE ComSoc Bahrain Chapter & Karachi Chapter Joint Activity:
“Generative AI and 5G Networks” Technical Webinar
Date: Wednesday, 2nd October 2024
Time: 17:30-19:30 Bahrain (GMT+3), 19:30-21:30 Pakistan (GMT+5)
Topics:
- Introduction to Generative AI
- GenAI-Driven Channel Estimation in 5G and Beyond Networks
Speakers: Eng. Wafeeq Ajoor & Eng. Reema Memon
ComSoc Joint Workshop Agenda |
|
| Time | Session |
|---|---|
| 17:30-17:35 | Welcome and Speaker 1 Introduction |
| 17:35-18:20 | Introduction to Generative AI Generative AI is revolutionizing industries by enabling machines to create content autonomously, including text, images, music, and code. This keynote offers a comprehensive exploration of the fundamental concepts, tools, and applications of Generative AI, with an emphasis on its transformative potential. Starting with an overview of the underlying technologies like deep learning, neural networks, and natural language processing, the talk will explore how these advancements have led to innovations in creative domains such as art, design, entertainment, and beyond. Attendees will gain insight into popular models like GPT and DALL-E, their strengths and limitations, ethical considerations, and the future trajectory of this technology. Through real-world examples and practical use cases, this keynote will provide a clear understanding of how businesses and developers can harness the power of Generative AI to unlock new possibilities, enhance creativity, and drive innovation. |
| 18:20-18:25 | Speaker 2 Introduction |
| 18:25-19:10 | GenAI-Driven Channel Estimation in 5G and Beyond Networks In wireless communication, channel estimation is crucial for predicting how signals travel, ensuring better data transmission, minimizing interference, and improving overall network efficiency. With the advancement towards 5G and future networks, traditional methods face limitations in handling the growing complexity and dynamic nature of wireless environments. This is where Generative AI (GenAI) comes into play. GenAI enhances channel estimation by generating predictive models that can learn from large amounts of data and adapt in real-time to changing network conditions. It leverages tools like deep learning and reinforcement learning to provide highly accurate predictions of signal behavior, leading to improved network speed, reduced latency, and more efficient use of bandwidth. This talk will explore how GenAI is applied in wireless communication, the challenges it helps overcome, and its potential to reshape future networks such as 6G and Huawei Imagine Wi-Fi 7 by making them more responsive, adaptive, and intelligent. |
| 19:10-19:30 | Q & A and Closing Remarks |
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