Towards Autonomic Wireless Systems: Integrating Agentic AI with Advanced Semiconductor Technologies in Telecommunications
DOI:
https://doi.org/10.5281/zenodo.16141065Keywords:
autonomic wireless systems, agentic AI, advanced semiconductor technologies, telecommunications, AI integration, self-optimizing networks, adaptive systems, machine learning, autonomous decision-making, real-time resource management, intelligent communication networks, semiconductor advancements, AI-driven optimization, dynamic spectrum allocation, energy efficiency, network automation, autonomous agents, edge computing, AI-enhanced signal processing, intelligent edge devices, wireless communication protocols, smart antennas, system self-healing, scalable networks, cognitive systems, next-generation wireless technologies, AI-driven network slicing.Abstract
Contemporary society is reliant on complex technical systems that provide important functions and services, including safety, health, and economic prosperity. Creation of advanced wireless and telecommunications systems that are embedded in the physical, social, and economic fabric of modern life depends on resolution of difficult management challenges regarding the performance and evolution of such systems. We argue that dynamic autonomous management of large scale advanced wireless systems using Agentic AI will result in new organizational forms of advanced wireless systems. These collective entities will function as natural sociotechnical partners for people and organizations in resolving pressing problems in society and directly dealing with high dimensional uncertainty that people and traditional organizations are ill suited to address. To achieve this vision, new approaches are needed to address the dual challenge of integration of communication, computation, and control in Trusted Infrastructure and Trusted Intelligence foundations of Agentic AI. Achieving trust and minimizing risks of catastrophic failure are quintessential issues for the new systems. Foundational work in socio-technical design is needed to establish methods to address organizational and ethical issues for trusted collaboration between human organizations, Agentic AI, and new design choices associated with advanced semiconductor technology for systems design and operation. Agentic AI and controlled adversarial intelligence provide new capabilities for dynamic trusted networked control of infrastructure systems for telecommunications and associated high dimensional uncertainty. Sociology, economics, and philosophy provide important foundations for discussions of agentic AI capabilities and risks. Addressing these issues will shape the new ecosystem of sociotechnical entity partnerships and organizational forms of future telecommunications and wireless systems, and are requisite to avoiding a possible dystopian world of dis-integrated Agentic AI technology.
