AI-Driven Signal Processing and Optimization for 6G Wireless Networks

Dr. Ramoni Adeogun provides expertise in the design, analysis, and optimization of next-generation wireless communication systems, with a focus on 6G technologies. His work spans signal processing, machine learning, and AI-enabled network intelligence, addressing challenges across PHY, MAC & RRM layers. He offers expertise in AI-assisted radio resource management, channel modeling and estimation, MIMO/massive MIMO systems, cross-layer optimization, wireless foundation models, distributed and federated learning, and data-driven wireless system design. Dr. Adeogun’s approach emphasizes bridging theoretical models with practical system considerations, enabling realistic performance evaluation and algorithm development. He collaborates on academic and industrial projects, contributing to research, proposal development, technology roadmaps, and standardization-oriented studies. His expertise supports innovation in 6G research, AI-native networks, and advanced wireless system design.