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

TL;DR

This paper presents innovative 6G network architectures, AI techniques for real-time optimization, serverless backend orchestration, and optical switching technologies to enhance efficiency, reduce costs, and support new service models in future wireless networks.

Contribution

It introduces novel 6G architectures, AI agent designs for real-time operations, serverless orchestration methods, and optical switching solutions for next-generation wireless networks.

Findings

Proposed efficient 6G architectures with expanded control and user planes.

Designed AI agents for real-time learning and energy optimization.

Developed optical switching architectures reducing power consumption.

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 (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.