AI Agents in Network Management: The Next Frontier
Published:
Artificial Intelligence is transforming how we manage and optimize wireless networks. AI agents can make real-time decisions that would be impossible for human operators.
What are AI Agents?
AI agents are autonomous software systems that can perceive their environment, make decisions, and take actions to achieve specific goals. In network management, they continuously monitor network conditions and optimize performance.
Applications in Wireless Networks
1. Intelligent Handover Management
AI agents can predict when a device needs to switch between access points, ensuring seamless connectivity. In hybrid VLC/WiFi networks, this becomes crucial as devices move between light coverage areas.
2. Resource Allocation
Machine learning models can predict traffic patterns and allocate bandwidth dynamically, preventing congestion before it occurs.
3. Anomaly Detection
AI agents can identify unusual network behavior that might indicate security threats or equipment failures.
Reinforcement Learning Approaches
My current research explores offline reinforcement learning for network management in agricultural IoT applications. This approach learns optimal policies from historical data without risking the live network.
The Future
As networks become more complex with 5G/6G and IoT devices, AI agents will become essential for maintaining quality of service and reducing operational costs.
