Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks
Dev, Kapal, Khowaja, Sunder Ali, Zeydan, Engin, Debbah, Merouane
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-3-2025
- Country:
- Asia > Middle East
- UAE > Abu Dhabi Emirate > Abu Dhabi (0.14)
- Europe > Spain (0.28)
- Asia > Middle East
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- Overview > Innovation (0.48)
- Research Report (1.00)
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- Information Technology > Security & Privacy (0.47)
- Telecommunications (0.94)
- Technology:
- Information Technology
- Architecture > Real Time Systems (1.00)
- Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning > Agents (1.00)
- Communications > Networks (1.00)
- Information Technology