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

  • Kapal Dev
  • , Sunder Ali Khowaja
  • , Engin Zeydan
  • , Keshav Singh
  • , Merouane Debbah

Research output: Contribution to journalArticlepeer-review

Abstract

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: 1) 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; 2) 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; 3) identifying technologies and architectures that support the orchestration of back-end services using serverless computing models across multiple domains, particularly for vertical industries; and 4) 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.

Original languageEnglish
JournalIEEE Communications Standards Magazine
DOIs
Publication statusAccepted/In press - 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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