mlsanityData to 7 Oct 2026

Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks

arXiv 2502.01089 ↗First posted 3 Feb 2025cs.NI cs.AIcited by 11

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Abstract (arXiv)

This paper investigates a range of cutting-edge technologies and architectural innovations aimed at simplifying network operations, reducing operational expenditure (OpEx), and enabling the deployment of new service models. The focus is on (i) Proposing novel, more efficient 6G architectures, with both Control and User planes enabling the seamless expansion of services, while addressing long-term 6G network evolution. (ii) Exploring advanced techniques for constrained artificial intelligence (AI) operations, particularly the design of AI agents for real-time learning, optimizing energy consumption, and the allocation of computational resources. (iii) Identifying technologies and architectures that support the orchestration of backend services using serverless computing models across multiple domains, particularly for vertical industries. (iv) Introducing optically-based, ultra-high-speed, low-latency network architectures, with fast optical switching and real-time control, replacing conventional electronic switching to reduce power consumption by an order of magnitude.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 3 Feb 2025.

Builds on

6 of 21 references.

References · 6

  1. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  2. 20206G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communicationscited by 108
  3. 2023Understanding Telecom Language Through Large Language Modelscited by 32
  4. 2025Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Thingscited by 8
  5. 2022FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computingcited by 4
  6. 2022SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networkscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 6.

11 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
  2. 2026From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
  3. 2025AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks
  4. 2026Reimagining RAN Automation in 6G: An Agentic AI Framework with Hierarchical Online Decision Transformer ↗
  5. 20266G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
  6. 2026Agentic Wireless Communication for 6G: Intent-Aware and Continuously Evolving Physical-Layer Intelligence
  7. 2025Towards 6G Native-AI Edge Networks: A Semantic-Aware and Agentic Intelligence Paradigm
  8. 2026An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading