LTE Network Timer and Retry Management for Congestion Control
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Solution Overview
Problem
In LTE networks, repeated attempts by communication devices to connect or transmit can lead to network congestion, as existing technologies lack effective mechanisms to dynamically manage timers and retry criteria based on network traffic load and health status.
Innovation Solution
Implementing dynamic adjustments to timer settings and retry mechanisms across network entities, with feedback mechanisms allowing downstream elements to inform upstream elements about network load and health conditions, enabling tailored timer and retry settings based on individual downstream traffic and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication devices retry to connect or transmit multiple times, then connection reliability is improved, but network congestion increases
Solution Approach 1:
The patent implements dynamic adjustment of timer settings and retry criteria based on real-time network conditions. Network entities monitor traffic load and health status, then dynamically modify timer values and retry parameters to adapt to changing network states, resolving the contradiction between maintaining connection reliability and preventing network congestion
Solution Approach 2:
The patent establishes feedback mechanisms where downstream network elements communicate network load and health status to upstream elements. This feedback loop enables upstream entities to adjust their timer and retry parameters based on actual network conditions, allowing the system to maintain reliability while avoiding congestion through informed decision-making
2Productivity
If timer settings and retry criteria are adjusted dynamically, then network management efficiency is improved, but system complexity increases
Solution Approach 1:
The patent enables network entities to automatically monitor their own performance and adjust their timer and retry parameters without external intervention. Each network element performs self-diagnosis and self-optimization based on local measurements of network conditions, improving management efficiency while avoiding the complexity of centralized control systems
Solution Approach 2:
The patent focuses on adjusting specific parameters (timer settings and retry criteria) rather than redesigning the entire system architecture. By modifying these key parameters dynamically based on network conditions, the system achieves improved management efficiency with minimal increase in overall complexity
Data Source
AI summary
Management of a network may be accomplished by adjusting timer settings and/or retry criteria. For example, communications and management from an end-to-end perspective of entities in a network may be conducted; timers and/or retry criteria may be adjusted dynamically based on network traffic load; timers and/or retry criteria may be adjusted dynamically based on overload conditions; feedback mechanisms may be implemented to allow downstream network elements to inform upstream network elements about the health status and/or load condition of the network; and/or differentiated timer and retry criteria/mechanisms may be implemented.


