Mobile Network Traffic Optimization via Radio State Detection
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Solution Overview
Problem
Modern telecommunications networks face inefficiencies due to the radio communication unit of user equipment (UE) operating in unknown or unoptimized radio states, leading to data communication bottlenecks, network congestion, and degraded Quality of Service (QoS) and Quality of User Experience (QoE).
Innovation Solution
A traffic optimization module detects the current radio state of the UE's radio communication unit and learns transition parameters, enabling components like applications and the operating system to manage data communications accordingly, optimizing performance and conserving energy by switching between radio states based on learned parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the radio communication unit operates in unknown radio states without informing other components, then energy consumption is reduced and device complexity is minimized, but network QoS and user QoE are degraded due to communication bottlenecks and congestion
Solution Approach 1:
The patent implements a feedback mechanism where the radio communication unit informs other components (applications, OS, browser) about the current radio state through callbacks and notifications. This allows the system to adapt data communication strategies based on real-time radio state information, optimizing network performance while managing energy consumption effectively.
Solution Approach 2:
The patent introduces a radio state manager as an intermediary component that mediates between the radio communication unit and other system components. This manager translates radio state information into actionable insights for data communication optimization, enabling coordinated responses across the system without requiring direct integration between all components.
2Device complexity
If the radio communication unit does not share radio state information with applications and OS, then device complexity is reduced, but data communication efficiency deteriorates due to inability to optimize traffic generation
Solution Approach 1:
The patent segments the system into distinct functional modules: radio state detector, radio state manager, and application layer components. Each module has specific responsibilities, with the radio state manager acting as a central coordinator that distributes relevant state information to applications and OS without requiring them to implement complex detection logic themselves.
Solution Approach 2:
The radio state manager serves as an intermediary that simplifies the interface between the radio communication unit and applications/OS. It provides standardized callbacks and notifications that make it easy for applications to respond to radio state changes without increasing overall device complexity.
3Ease of operation
If components generate data packets without awareness of current radio state, then ease of operation is maintained, but network congestion and bottlenecks increase due to suboptimal traffic generation
Solution Approach 1:
The patent implements preliminary action by having applications and OS components register their data communication needs and preferences in advance with the radio state manager. The manager then proactively notifies these components about upcoming radio state changes, allowing them to pre-optimize their data generation strategies before transitions occur.
Solution Approach 2:
The system provides continuous feedback to applications and OS about radio state conditions, enabling them to dynamically adjust their data communication behavior. This feedback loop maintains ease of operation while significantly improving network throughput by preventing congestion before it occurs.
Data Source
AI summary
The techniques described herein detect which one of multiple different radio states a radio communication unit of a client device is currently operating in. The techniques may also learn one or more transition parameters that, once satisfied or reached, may switch the radio communication unit from one radio state to another radio state. Using the detected radio state and the learned transition parameters, the client device can optimize network communications.