Engineering Challenges toward Level-5 Autonomous Fixed Telecommunications Networks

Source raw items (1)

• Semantic Scholar2026-07-16 23:31:51
  Engineering Challenges toward Level-5 Autonomous Fixed Telecommunications Networks

  Fixed telecommunications networks are undergoing a fundamental transformation from manually operated infrastructures toward intelligent, autonomous systems capable of self-monitoring, self-diagnosis, self-optimization, and self-healing. While Artificial Intelligence (AI), closed-loop automation, and multi-agent architectures have significantly advanced operational automation, the realization of Level-5 Autonomous Fixed Telecommunications Networks remains an open engineering challenge. Previous studies introduced a Unified Autonomous Fixed Broadband Framework (UAFBF), a Contextual Orchestration Engine (COE), a multi-agent operational architecture, and a five-level Autonomy Maturity Model (AML-1 to AML-5) that established a conceptual pathway toward fully autonomous fixed network operations [1]–[4]. Building upon these contributions, this paper investigates the critical engineering barriers that continue to separate current operational maturity—typically ranging from AML-2 to AML-3—from the envisioned AML-5 end state. Rather than proposing another architectural framework, this study presents a structured gap analysis of the principal technical, operational, and organizational challenges that must be addressed before achieving true zero-touch network operations. The discussion examines seven interconnected challenge domains: data quality and network observability, large-scale multi-agent orchestration, explainable AI and operational trust, closed-loop safety and automated decision governance, legacy infrastructure constraints, multi-vendor interoperability and standardization, and organizational readiness for AI-driven operations. Generalized operational scenarios derived from fixed broadband performance diagnostics are presented to illustrate how these challenges manifest in real-world environments without disclosing proprietary information. Finally, the paper outlines future research priorities required to bridge existing capability gaps and accelerate the transition toward safe, trustworthy, and scalable Level-5 autonomous fixed telecommunications networks. The findings aim to support researchers, standards bodies, equipment vendors, and telecommunications operators in developing practical engineering strategies for next-generation autonomous network operations.