Adaptive Signaling for Network Performance Measurement
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Solution Overview
Problem
Current network signaling protocols lack standardized implementation, leading to variations in operational characteristics that hinder efficient access and control of attached functions, features, and services across different network elements, resulting in suboptimal performance and limited control over communication sessions.
Innovation Solution
The implementation of adaptive signaling systems that analyze and manage Network Signaling Events (NSEs) by extracting signaling signatures from timing metrics and message patterns, allowing for intelligent control of signaling messages to optimize network performance and access to attached functions, features, and services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standardized signaling protocols are implemented, then interoperability and control consistency improve, but implementation flexibility and adaptability to different network elements deteriorate
Solution Approach 1:
The system dynamically adapts signaling parameters based on real-time network conditions and element responses. The adaptive signaling platform modifies message timing, sequence numbers, and other parameters dynamically to optimize performance while maintaining protocol standards, resolving the contradiction between standardized control and flexible adaptation.
Solution Approach 2:
The invention changes signaling parameters such as timing intervals, message sequences, and retry counts based on measured network performance and element behavior. This allows the system to maintain protocol compliance while adapting to different network elements' operational characteristics, achieving both consistency and flexibility.
2Productivity
If adaptive signaling with intelligence is implemented, then network performance measurement and control improve, but system complexity increases
Solution Approach 1:
The adaptive signaling platform performs self-diagnosis and self-optimization by automatically measuring network performance, analyzing element responses, and adjusting signaling parameters without external intervention. This automation reduces operational complexity while improving measurement efficiency and performance control.
Solution Approach 2:
The system implements continuous feedback loops where network performance measurements and element responses inform subsequent signaling adjustments. This automated feedback mechanism enables intelligent performance measurement and control while managing system complexity through algorithmic rather than manual processes.
3Ease of operation
If signaling messages are managed with precise timing and sequence control, then access to attached functions improves, but message processing overhead increases
Solution Approach 1:
The system performs preliminary measurements and optimizations before actual function access attempts. By pre-characterizing network elements and establishing baseline performance metrics, the adaptive signaling platform reduces real-time processing requirements and accelerates subsequent access operations to attached functions.
Data Source
AI summary
Systems and methods are provided for initiation, use, access, and control of functionality of a network. In one aspect, the systems and methods can be utilized to generate information defining signaling or control performance and operational characteristics associated with the functionality in a variety of network environments. In another aspect, based on such information, adaptive signaling can be utilized to monitor, analyze and detect specific signaling signatures associated with the functionality. Managing signaling or control messages in response to information collected by monitoring and analyzing the adaptive signaling permits originating or requesting the functionality without conventional operation of a network component.