Congestion control in wireless networks
By using Kalman filters for congestion prediction and dynamic switching in wireless networks, the problem of low resource management efficiency in wireless networks is solved, achieving network performance with lower latency and higher throughput.
Patent Information
- Application Number
- CN202480078379.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-12-03
- Filing Date
- 2024-12-12
- Publication Date
- 2026-07-10
AI Technical Summary
Existing wireless networks struggle to effectively manage network resources when handling latency-sensitive applications, leading to increased congestion and latency. This is especially true in multi-link operations, where traditional congestion control mechanisms cannot effectively utilize multiple link resources, impacting throughput and reliability.
By deploying Kalman filters in wireless networks for congestion prediction, analyzing link status using timestamps and implicit features, dynamically switching between single-link and multi-link operation modes, and combining explicit and implicit congestion notifications, network resource allocation can be optimized.
It enables more efficient network resource management in latency-sensitive applications, reduces latency, improves throughput and network reliability, and the dynamic switching mechanism improves network adaptability and efficiency.