Agentic Neuromorphic Intelligence for 6G Networks
Keywords:
Co-design; Hardware-Software; Integrated Semiconductor Neural Accelerator and Protocol Stack; System Intelligence; 6G; Intelligent Wireless Systems.Abstract
The 6G vision of hyper-connectivity and hyper-sensing processes that pervade every facet of human experience will require a new breed of protocols that recognize the rich infrastructures and AI systems available. Both new AI protocols, which provide control loops and agentic behavior, as well as new generations of neural accelerators will provide support for vastly greater throughput whilst significantly reducing latency and energy. At the hardware level, semiconductor neural accelerators will implement compute-in memory functions that are closer to the application and will support programs that are orders of magnitude more complex in terms of the number of parameters. At the software level a new classes of decision-making algorithms, organized as protocol stacks and integrated into a higher-level agentic control loop, will provide support for increasingly autonomous decision-making functions. Such advances will enable hybrid human-agent decision-making for such critical infrastructures as smart urban environments, digital twins of smart cities, and additionally critical life tasks such as health and mobility. The results of the proposed co-design, benchmarking, emulation, and testbed evaluation resides in a new integrated methodology that combines hardware-software co-Design with all the associated quality metrics (latency, energy efficiency, reliability) that can be readily ported to other innovative communications tasks beyond Intelligent Wireless Systems, including Digital Twins, Autonomous Driving, and Self-Regulation Resilience for Critical Infrastructures.
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References
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Data Availability Statement
No datasets were used or generated. The study is based on conceptual analysis, simulation, emulation, benchmarking, and hardware-in-the-loop evaluation.
