Probabilistic Reporting for Telecommunications Network Load Management
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Solution Overview
Problem
In telecommunications networks, the increasing amount of management data from network elements overwhelms system resources such as CPU and transmission capacity, leading to significant load and resource utilization challenges.
Innovation Solution
Implementing a probabilistic reporting mode for network elements, where data is reported based on a probability function, allowing for conditional and delayed transmission, thereby regulating network load and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all network elements transfer management data as measurements occur, then data availability and reporting completeness are improved, but system resource consumption (CPU, memory, transmission capacity) increases significantly
Solution Approach 1:
The patent applies dynamics by making the reporting behavior adaptive rather than static. Network elements dynamically adjust their reporting decisions based on real-time evaluation of a probability function that considers current network conditions, resource availability, and data characteristics. This dynamic approach allows the system to optimize between complete reporting and resource conservation based on actual operating conditions.
Solution Approach 2:
The patent changes the parameter of reporting probability from a fixed value to a dynamically adjustable parameter. By modifying the probability parameter based on network conditions, data importance, and resource status, the system can control the volume of transmitted data while maintaining essential information flow. This parameter change enables flexible trade-offs between reporting completeness and resource consumption.
2Speed
If network elements report management data immediately upon measurement, then real-time monitoring capability is improved, but peak load on transmission resources and processors increases
Solution Approach 1:
The patent introduces periodic evaluation of the probability function at defined reporting opportunities rather than continuous reporting. Network elements assess whether to report data at specific intervals or triggering events, creating a periodic reporting rhythm. This periodic action smooths out peak loads by distributing reporting activity over time while maintaining adequate monitoring coverage.
Solution Approach 2:
The probability function acts as an intermediary mechanism between data generation and data transmission. Instead of directly reporting all measurements, the system uses this intermediary evaluation layer to filter and regulate reporting decisions. The intermediary controls the flow of data based on current conditions, reducing peak transmission loads while preserving important information.
3Adaptability or versatility
If the number of network elements increases in an expanding telecommunications network, then network coverage and capacity are improved, but the amount of management data to be transferred increases, occupying significant system resources
Solution Approach 1:
The patent segments the network element population into different reporting behavior groups based on their characteristics, importance, and current load conditions. Instead of uniform reporting from all network elements, the system divides them into segments that can apply different probability thresholds or reporting strategies. This segmentation allows the network to scale while managing data volumes from each segment independently.
Solution Approach 2:
The patent applies partial action by having network elements report only a subset of their measurements based on the probability evaluation. Rather than transmitting all generated data, each element selectively reports based on the evaluated probability, performing partial reporting action. This partial action reduces the total data quantity in proportion to network size while maintaining sufficient monitoring coverage.
Data Source
AI summary
A technique for configuring the reporting of network elements to a management node in a telecommunications network is described. As to a method aspect of the technique, at least one of the network elements receives a configuration message. The configuration message is indicative of a reporting mode that is based on a probability function. The management data is reported to the management node depending on a condition that includes the probability function.