Mobile Network Condition Estimation via Physical Layer Signaling
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Solution Overview
Problem
Conventional TCP-based congestion control and avoidance techniques fail to adapt quickly to the fast-changing cellular network environments, leading to unpredictable network conditions and poor user experiences for real-time services like gaming and autonomous driving, due to their reliance on packet loss signals and inability to provide sub-round-trip time views of available resources.
Innovation Solution
A congestion control module on mobile devices collects and consolidates physical layer signaling information, such as CSI and RRC messages, to provide real-time network condition estimations and notifications to application-level services, allowing them to adapt to changes in bandwidth, latency, and mobility, thereby avoiding jitter and latency caused by network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TCP-based congestion control techniques are used, then network congestion can be avoided, but the system cannot adapt quickly to fast-changing cellular network environments
Solution Approach 1:
The patent introduces an intermediary component that translates physical layer signaling information into network condition estimations that application-level services can understand and act upon. This intermediary layer bridges the gap between the physical network state and the application layer, enabling faster adaptation without compromising congestion control reliability.
Solution Approach 2:
The system performs preliminary estimation of network conditions by continuously monitoring physical layer signaling before actual congestion occurs. This allows application-level services to proactively adjust their behavior in anticipation of network changes, rather than reacting after congestion has already impacted performance.
2Stability of the object's composition
If TCP-based congestion control techniques are used, then network stability can be maintained, but real-time services experience poor user experiences due to latency and jitter
Solution Approach 1:
The patent implements dynamic network condition estimation that continuously updates based on physical layer signaling changes. This dynamic approach allows the system to adapt transmission parameters in real-time, reducing latency and jitter for time-sensitive applications while maintaining overall network stability through controlled adjustments.
Solution Approach 2:
The system changes key transmission parameters based on estimated network conditions derived from physical layer signaling. By dynamically adjusting parameters such as transmission timing and resource allocation, the system optimizes performance for real-time services while preventing network instability.
3Reliability
If application-level services obtain network condition information from physical layer signaling, then deterministic network experiences can be achieved, but the complexity of information collection and consolidation increases
Solution Approach 1:
The patent extracts only the essential network condition information from physical layer signaling that is most relevant to application-level services. By selectively extracting key parameters rather than processing all available signaling data, the system achieves deterministic network experiences while minimizing the complexity of information collection and consolidation.
Data Source
AI summary
Methods, apparatus, and systems for providing deterministic network experience to application-level services are disclosed. In one example aspect, a method includes providing a set of interfaces to an application-level service deployed in part on a user device. The set of interfaces is configured to provide a notification to the application-level service regarding a real-time change in network conditions relevant to the application-level service. The method also includes receiving a registration request from the application-level service to register for the notification, estimating the network conditions based on physical layer information, and notifying the registered application-level service of the change in the network conditions based on the estimated network conditions.