Intelligent Signaling Optimization for M2M Networks
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Solution Overview
Problem
Machine-to-machine (M2M) communications in GPRS networks face significant signaling overload due to the large number of devices and intensive signaling exchanges, which burdens the radio access and core networks, especially as the number of connected devices grows exponentially.
Innovation Solution
An intelligent system and algorithm within the core network that optimizes signaling by selecting the appropriate bearers and paging areas for M2M communications, using SMS, data bearers, or MBMS based on device capabilities and subscription characteristics, and reduces the burden on radio resources by consolidating signaling at a virtual optimized core (VOC) node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of connected M2M devices is increased, then the market opportunity and data collection capability are improved, but the signaling load on the radio access network and core network increases significantly
Solution Approach 1:
The patent consolidates multiple signaling procedures into a single unified signaling exchange. Instead of treating each M2M device independently with full signaling sequences, the system merges device identification and authentication into a streamlined process that reduces the number of signaling messages exchanged between the network and devices, thereby reducing overall signaling load while maintaining connectivity for multiple devices
Solution Approach 2:
The patent segments the network into different signaling handling mechanisms based on device type and communication needs. By categorizing M2M devices and applying differentiated signaling strategies (e.g., simplified authentication for certain device types, batch processing for similar devices), the system reduces unnecessary signaling overhead while preserving necessary communication capabilities
2Device complexity
If traditional human subscriber communication practices are applied to M2M devices, then network architecture simplicity is maintained, but signaling intensity and network congestion increase
Solution Approach 1:
The patent changes key parameters of the communication protocol to reduce signaling intensity. This includes modifying authentication parameters, adjusting message formatting, and changing the sequence of signaling exchanges to be more efficient for M2M devices. These parameter changes reduce the amount of data transmitted during signaling while maintaining network security and device identification capabilities
Solution Approach 2:
The patent applies partial signaling - only the essential signaling steps are executed for M2M devices rather than the complete signaling sequence used for human subscribers. By identifying and executing only the necessary signaling actions (partial action), the system reduces signaling overhead while maintaining sufficient network control and device management capabilities
3Reliability
If paging is performed for all devices in idle mode, then device connectivity is ensured, but radio resources and processing power are consumed excessively
Solution Approach 1:
The patent applies differentiated paging strategies based on device location and status. Instead of uniformly paging all devices, the system identifies devices in specific locations or states and pages only those that require communication. This localized approach to paging reduces the number of radio messages transmitted while ensuring connectivity for devices that need it, thereby conserving radio resources
Data Source
AI summary
An intelligent system and an algorithm at a packet network to reduce the amount of signaling in the radio access network and core network is defined. The system collects all the necessary information from the signaling exchange between the radio access network and the core network and takes the subscription characteristics and policy information into consideration to choose the optimal way of reducing the amount of signaling including selecting the optimal bearers for certain types of communications and paging selected area instead of the whole area for each device. The bearer selection algorithm takes several things as input to choose the optimal bearer to perform the task.