Hierarchical Policy Management for Wireless Traffic Optimization
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Solution Overview
Problem
The rapid growth of smartphone usage, particularly with Android devices, leads to increased signaling and data traffic in wireless networks, causing congestion and inefficiencies in bandwidth and resource utilization, which existing technologies have not adequately addressed.
Innovation Solution
A distributed wireless traffic optimization system that employs a hierarchical policy management and caching system, using a local proxy on mobile devices and a server-side proxy to categorize traffic, cache content, and apply policies based on application behavior, user activity, and network conditions, thereby reducing unnecessary signaling and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smartphone usage and app traffic increase to provide richer services, then service capability and user experience are improved, but network signaling load and congestion increase
Solution Approach 1:
The patent segments the policy management system into multiple hierarchical levels (global policies at network level, device-specific policies at device level, application-specific policies at app level). This segmentation allows distributed traffic optimization where each segment handles local decision-making, reducing the signaling load on the core network while maintaining rich service capabilities.
Solution Approach 2:
The patent introduces a policy management system as an intermediary between the network and end devices. This intermediary translates high-level service requirements into specific traffic optimization policies, enabling rich services to be delivered while automatically managing and reducing the associated signaling overhead through intelligent policy enforcement.
2Productivity
If traffic optimization policies are implemented to reduce signaling, then network efficiency is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex policy management functionality into manageable segments across different hierarchical levels and system components. Each segment handles specific aspects of traffic optimization, making the overall complex system tractable through modular design where each part has a defined, simplified role.
Solution Approach 2:
The patent adds a hierarchical dimension to policy management, organizing policies from global to device-specific to application-specific levels. This dimensional organization transforms a potentially overwhelming monolithic complexity into a structured multi-layered system where complexity is distributed and managed at appropriate levels.
3Productivity
If distributed caching is implemented to reduce data transmissions, then bandwidth utilization is optimized, but device and network infrastructure complexity increase
Solution Approach 1:
The patent segments the caching infrastructure into distributed cache servers deployed at multiple network locations rather than a single centralized cache. This segmentation allows caching functionality to be introduced incrementally at appropriate network points, optimizing bandwidth utilization while distributing the infrastructure complexity across multiple manageable nodes.
Solution Approach 2:
The patent introduces cache servers as intermediary components between content sources and end devices. These intermediaries automatically intercept, cache, and serve repeated content requests, optimizing bandwidth utilization while managing infrastructure complexity through standardized intermediary interfaces and automated cache management.
Data Source
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AI summary
Systems and methods for deploying and employing policies for wireless traffic optimization in a wireless network based on hierarchies are disclosed. One embodiment includes deploying a global policy set of the policies for wireless traffic optimization among mobile devices in the wireless network and deploying a first policy set of the policies among a first subset of mobile devices among the mobile devices. In one embodiment, the first subset of mobile devices meet a device-based criteria including one or more of, device type, device platform, or device model and any policy of the first policy set overwrites any policy of the global policy set in case of conflict when deployed on any of the first subset of mobile devices.