Intent-driven autonomous network and service management in future cellular networks: A structured literature review
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Abstract (arXiv)
Intent-driven networks are an essential stepping stone in the evolution of network and service management towards a truly autonomous paradigm. User centric intents provide an abstracted means of impacting the design, provisioning, deployment and assurance of network infrastructure and services with the help of service level agreements and minimum network capability exposure. The concept of Intent Based Networking (IBN) poses several challenges in terms of the contextual definition of intents, role of different stakeholders, and a generalized architecture. In this review, we provide a comprehensive analysis of the state-of-the-art in IBN including the intent description models, intent lifecycle management, significance of IBN and a generalized architectural framework along with challenges and prospects for IBN in future cellular networks. An analytical study is performed on the data collected from relevant studies primarily focusing on the inter-working of IBN with softwarized networking based on NFV/SDN infrastructures. Critical functions required in the IBN management and service model design are explored with different abstract modeling techniques and a converged architectural framework is proposed. The key findings include: (1) benefits and role of IBN in autonomous networking, (2) improvements needed to integrate intents as fundamental policies for service modeling and network management, (3) need for appropriate representation models for intents in domain agnostic abstract manner, and (4) need to include learning as a fundamental function in autonomous networks. These observations provide the basis for in-depth investigation and standardization efforts for IBN as a fundamental network management paradigm in beyond 5G cellular networks.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Aug 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 2; 2025: 1; 2026: 2.
6 papers.
- 2022A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directionscited by 8
- 2024Large Language Models meet Network Slicing Management and Orchestrationcited by 7
- 2025A4FN: an Agentic AI Architecture for Autonomous Flying Networkscited by 2
- 2024Towards Adaptive IMFs -- Generalization of utility functions in Multi-Agent Frameworkscited by 0
- 2026Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Controlcited by 0
- 2026Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Controlcited by 0
- 2026Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control2 Aug 2026
- 2026Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control4 May 2026
- 2025A4FN: an Agentic AI Architecture for Autonomous Flying Networks4 Oct 2025
- 2024Towards Adaptive IMFs -- Generalization of utility functions in Multi-Agent Frameworks13 May 2024
- 2024Large Language Models meet Network Slicing Management and Orchestration20 Mar 2024
- 2022A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions27 Apr 2022