The next generation of wireless networks is being redefined not only by faster speeds and higher frequencies but also by intelligence across whole network stacks. This panel brings together experts from diverse, cutting-edge research areas — spanning physical layer breakthroughs such as terahertz (THz) and millimeter-wave (mmWave) communications and metasurfaces, to AI-native network design powered by large language models (LLMs), and finally to edge AI applications.
At the physical layer, emerging spectrum frontiers like THz and mmWave, combined with metasurfaces, promise unprecedented capacity, spatial control, and adaptability. These advancements enable the wireless environment itself to become programmable — turning the communication channel into a dynamic design variable.
Simultaneously, the rise of foundation models and generative AI — including LLM-driven network algorithm design and optimization — opens new possibilities to rethink wireless protocols. These AI-native networks will be capable of reasoning, predicting, and adapting in real time.
At the application edge, this intelligence converges with edge computing and edge AI, enabling distributed, low-latency decision-making essential for future applications such as autonomous systems, immersive reality, and massive IoT deployments.
This panel will explore the synergies and challenges across these layers, fostering cross-disciplinary dialogue on the future of wireless networks as co-designed systems at the intersection of physics, algorithms, and intelligence.