Wireless Network SINR Evaluation via Centralized Management
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Solution Overview
Problem
Mobile terminals face challenges in determining the Signal-to-Noise Ratio (SINR) values of available networks before attachment or while attached to a different network, due to limitations in existing simulation models and measurement methods, which are inaccurate or unrealistic in capturing dynamic network conditions.
Innovation Solution
A management center calculates and provides SINR values for neighboring server stations, allowing mobile terminals to know the SINR values before communication initiation and enabling comparison across networks, with the system comprising means to receive and compare SINR values from multiple networks to select the best network for attachment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If theoretical models are used to simulate SINR values, then network coverage can be predicted without additional measurements, but the accuracy of SINR prediction deteriorates due to model limitations
Solution Approach 1:
The patent introduces a management center as an intermediary that collects actual SINR measurements from multiple terminals and uses these real measurements to predict SINR values for other locations. This mediator bridges the gap between theoretical models and actual network conditions, providing more accurate predictions without requiring complex terminal-side computation.
Solution Approach 2:
The patent creates a virtual copy of the network's SINR characteristics by collecting measurements from multiple terminals and using this collected data to represent network conditions elsewhere. Instead of each terminal performing complex simulations, the system creates a centralized model that copies and propagates SINR information across the network.
2Measurement precision
If radio condition measurements are performed by terminals within the network, then real network conditions can be captured, but the availability of measurement data deteriorates when no nearby terminals are present
Solution Approach 1:
The patent merges measurements from multiple terminals into a centralized database at the management center. By combining data from multiple sources (multiple terminals measuring at different locations), the system ensures that SINR information is always available even when individual terminals are absent, preventing information loss.
Solution Approach 2:
The management center serves multiple functions: it collects SINR measurements from terminals, stores them in a database, and uses them to predict SINR values for any location. This universal approach ensures that SINR information is always available regardless of which specific terminals are present, as the centralized system aggregates data from all sources.
3Adaptability or versatility
If SINR values are calculated based on server station loads, then dynamic network conditions can be reflected, but the complexity of SINR calculation increases
Solution Approach 1:
The patent performs preliminary calculations by the management center, which pre-processes SINR measurements and stores them in a database. When a terminal needs SINR information, the management center retrieves and adjusts pre-calculated values based on current server station loads, rather than performing complex real-time calculations at the terminal side.
Solution Approach 2:
The system implements feedback loops where SINR measurements from terminals are fed back to the management center, which then updates its predictions based on actual measurements and current network load conditions. This feedback mechanism allows the system to adapt to dynamic conditions while keeping terminal-side complexity low.
Data Source
AI summary
The invention relates to a system for evaluating the quality of communication in a wireless network, comprising at least one management centre and at least one mobile terminal. Said management centre is responsible for managing a given server station and a set of server stations which are adjacent to said given server station, and is characterised in that it comprises means for obtaining the loads of said adjacent server stations, and for calculating, on the basis of said loads, the signal-to-noise ratio which would be characteristic of a communication between said given server station and a mobile terminal positioned at a given point of the geographic area served by this server station.