M2M Service Charging Data Aggregation
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Solution Overview
Problem
Current communication systems face inefficiencies in handling charging data for Machine-to-Machine (M2M) terminals, which generate a large volume of charging-related data despite transmitting minimal actual data, leading to increased system burdens as the number of M2M devices is expected to grow significantly.
Innovation Solution
Implementing a method to provide global charging information for multiple M2M terminals using a single M2M service identifier, aggregating charging data and reducing the frequency of charging records creation, allowing for efficient handling of M2M services by controlling associations between M2M service identifiers and terminals, and managing communications through entities like HSS/HLR, SGSN/MME, and GGSN/P-GW.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a CDR is built for each M2M mobile terminal access, then charging information can be collected for each terminal, but the mobile system has to handle a huge amount of charging related data
Solution Approach 1:
The patent merges charging information from multiple M2M terminals by creating a single CDR that aggregates data from multiple terminals. The charging data record includes a list of terminal identifiers and combines their charging information into one unified record, reducing the total number of CDRs from millions to a manageable number while maintaining complete charging information for all terminals.
2Reliability
If charging data is generated for each M2M terminal, then individual terminal charging can be tracked, but the frequency of charging records creation increases system burden
Solution Approach 1:
The patent applies preliminary action by pre-configuring terminal groups with common charging parameters and pre-establishing aggregation rules. When a terminal accesses the network, the system automatically identifies which terminal group it belongs to and pre-prepares the aggregation mechanism, enabling efficient batch processing of charging data without requiring real-time individual terminal processing.
Data Source
AI summary
In an embodiment, there is provided a method for handling Machine to Machine M2M services in a communication system, said method comprising a step of, for charging for IP Connectivity Access Network IP-CAN bearer services in said communication system:providing global charging information for a plurality of terminals using a same M2M service.