报告开始:2026年11月21日 11:15(Asia/Kolkata)
报告时间:45min
所在会场:[P] Plenary Session [P2] Keynote Speeches
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Wireless networks and power systems are converging on the same problem: both are becoming too large, too dynamic and too distributed to run from a central controller. 5G/6G must deliver ultra-high data rates, sub-millisecond latency, mass connectivity and cell-free architectures, while modern grids must absorb high shares of renewables, electric vehicles and smart loads in fragmented nano-grids. Although AI and machine learning have succeeded across many domains, their adoption in network and grid control remains slow.
This keynote presents a unified Distributed AI (DAI) framework built on Belief-Desire-Intention extended (BDIx) agents that act autonomously at the edge and collaborate to manage both domains. In communications, BDIx agents enable self-organising 5G/6G Device-to-Device networks, selecting plans and intentions for connectivity, energy efficiency, scalability and reliability without centralised orchestration. In energy, the same agent model provides distributed control of nano-grids, where we compare linear programming, PSO, genetic and ant-colony approaches and show that PSO reaches 98–99% of the optimal power efficiency while remaining scalable to large deployments. The talk covers the framework's architecture, its plan library and fuzzy-logic/ANFIS priority mechanisms, evaluation results in both domains, and its realisation in the EU ADROIT6G project and the nano-grid framework. It closes with open directions: game-theoretic multi-agent behaviour in non-cooperative settings, integration of D2D caching, functional metasurfaces and blockchain, and extension to autonomous vehicles, smart cities and industrial automation.
Dr. Iacovos Ioannou is an Assistant Professor of Computer Science at Neapolis University Pafos, Cyprus and an IEEE Senior Member. He is also a Senior Researcher at the CYENS Centre of Excellence, a Researcher at GÉANT Europe and a Scientific Collaborator of the Networks Research Laboratory (NETRL) at the University of Cyprus. He continues to teach part-time at Philips University. He received his Ph.D. in Computer Science from the University of Cyprus in 2021, holds an M.Sc. from the Open University of Cyprus awarded in 2016 and obtained his B.Sc. in Computer Science from the University of Cyprus in 2005. His research focuses on distributed artificial intelligence and machine learning for 5G/6G wireless networks, with particular interests in network optimisation and control, federated learning, IoT security and intrusion detection. His work also covers device-to-device communication, reconfigurable intelligent surfaces, localisation, edge and fog computing and the management of smart grids and microgrids.He is a co-author of Distributed Artificial Intelligence for 5G/6G Communications: Frameworks with Machine Learning, published by CRC Press in 2024. His research has appeared in journals including IEEE Internet of Things Journal, IEEE Open Journal of the Communications Society, IEEE Systems Journal, Computer Networks and Computer Communications. His project experience includes ADROIT6G, METACITIES and GÉANT GN5-2. He serves as an Associate Editor for IEEE Networking Letters and the International Journal of Antennas and Propagation. He has held technical programme and workshop chair roles at international conferences and has delivered keynote and invited talks. His industry experience includes software development at PrimeTel and IT administration and programming at the Cyprus Stock Exchange. He has taught undergraduate and postgraduate courses at several universities in Cyprus and has supervised B.Sc. and M.Sc. theses at the University of Cyprus.
11月20日
2026
11月22日
2026
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