Core Network Retry Policy Tuning for Cascading Retry Control
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Solution Overview
Problem
Cellular networks face challenges in transmitting and processing messages due to varying network conditions, leading to dropped or failed deliveries, which result in cascading retries that overload resources and hinder service access.
Innovation Solution
A communication policy system dynamically adjusts retry policies based on real-time transmission data, including distinct retry periods for different peer nodes, message types, and loading levels, optimizing communication success rates and reducing unnecessary retries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional retry policies are used to ensure message delivery, then message delivery reliability is improved, but network resource overload and system performance degradation occur due to cascading retries
Solution Approach 1:
The patent implements dynamic retry policies where the retry delay is not fixed but adapts based on current network conditions and peer node responsiveness. The system continuously monitors transmission success rates and adjusts retry parameters in real-time, transforming static retry configurations into dynamic, condition-based retry behavior that prevents cascading failures while maintaining delivery reliability
Solution Approach 2:
The patent applies different retry policies tailored to individual peer nodes based on their specific characteristics and responsiveness. Each peer node receives customized retry parameters (delay durations, maximum retry counts) according to its observed behavior and current state, rather than applying a uniform retry policy across all nodes. This localized approach optimizes retry effectiveness for each node while minimizing overall network impact
2Speed
If retry messages are sent frequently to ensure delivery, then message delivery speed is improved, but network bandwidth consumption increases and causes overload
Solution Approach 1:
The patent dynamically changes retry parameters including delay durations, retry intervals, and maximum retry counts based on observed network conditions and peer node responsiveness. By adjusting these parameters in response to real-time feedback, the system optimizes the balance between delivery speed and bandwidth consumption, sending retries quickly when appropriate but delaying or limiting them when network conditions indicate potential overload
3Device complexity
If uniform retry policies are applied to all peer nodes, then system complexity is reduced, but communication success rates decrease due to varying network conditions at different nodes
Solution Approach 1:
The patent implements peer-node-specific retry policies where each node receives customized retry parameters based on its observed responsiveness and current network conditions. The system monitors individual node performance metrics and tailors retry behavior to each node's characteristics, achieving high communication success rates without requiring complex manual configuration of each policy
Solution Approach 2:
The system automatically generates and adjusts retry policies for each peer node based on observed behavior patterns and transmission success rates. Rather than requiring manual configuration or complex centralized control, the system self-adapts retry parameters by monitoring node responsiveness and automatically optimizing policies, reducing complexity while maintaining high success rates
4Loss of energy
If retry delays are extended to reduce bandwidth consumption, then network resource usage is improved, but message delivery latency increases
Solution Approach 1:
The patent implements dynamic retry delay adjustment where the delay duration is not fixed but adapts based on peer node responsiveness and network conditions. The system monitors transmission success rates and adjusts retry timing in real-time, using shorter delays when nodes are responsive and longer delays when network conditions suggest waiting may be beneficial, thereby optimizing the balance between bandwidth consumption and delivery latency
Data Source
AI summary
The present disclosure relates to systems, methods, and computer-readable media for configuring a network function in a core network of a telecommunications environment. For example, systems described herein involve collecting transmission data including timing and success/failure data for use in generating a retry policy that includes rules and instructions that govern transmission of retries between computing nodes. Once generated, the retry policy may be applied to message packages by selectively transmitting message retries based on specific timing delays that are determined from the collected transmission data. This generation and implementation of the retry policy may improve the latency and success rate of messages transmitted by computing nodes within a core network architecture, thereby improving network conditions in a variety of ways.