Geo-Adaptive Content Delivery Control for Mobile Network Congestion
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Solution Overview
Problem
Conventional adaptive streaming solutions for mobile communication networks lack flexibility in managing content delivery, particularly in scenarios where a large number of clients request content simultaneously, leading to congestion and quality degradation, as they primarily focus on individual session-level rate adaptation and do not effectively account for location-specific constraints.
Innovation Solution
A method and system that utilize geo-information to adapt content delivery in mobile communication networks by identifying regions with potential congestion through a network entity and a controlling entity, allowing for location-dependent adjustments in content delivery rates, bit rates, and quality of service bearers to alleviate network overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional adaptive streaming solutions are used for content delivery, then individual session-level rate adaptation is achieved, but flexibility in managing content delivery and responding to network congestion is limited
Solution Approach 1:
The patent segments the content delivery control into multiple hierarchical levels: macro level (network-wide congestion management), meso level (region-specific adaptation), and micro level (individual session adaptation). This segmentation enables flexible management of content delivery by allowing different adaptation strategies at different levels, resolving the contradiction between adaptability and complexity limitation.
Solution Approach 2:
The patent introduces a new dimension of control by incorporating geo-information and location-based parameters into the content delivery adaptation process. Instead of only adapting at the session level, the system now adapts at the regional level using geographic coordinates, adding a spatial dimension to the control mechanism and enabling more flexible response to network conditions.
2Reliability
If rate adaptation is carried out at individual session level, then user-specific quality is maintained, but the ability to respond to network congestion and data volume constraints is limited
Solution Approach 1:
The patent segments the adaptation control into multiple levels: macro level for network-wide congestion response, meso level for region-specific data volume management, and micro level for individual session quality protection. This multi-level segmentation enables the system to simultaneously respond to network congestion and maintain user-specific quality, resolving the contradiction between reliability and adaptability.
Solution Approach 2:
The patent implements feedback mechanisms at multiple levels: network entities monitor geo-information and network conditions to provide feedback for macro and meso level adaptations, while session-level feedback maintains micro level quality protection. This multi-level feedback system enables comprehensive response to both network congestion and user quality requirements.
3Adaptability or versatility
If geo-information is collected and used for location-dependent adaptation, then targeted content delivery control is achieved, but network entity processing complexity increases
Solution Approach 1:
The patent segments the geo-information processing into functional modules within network entities: geo-information collection, geo-information evaluation based on rules, and adaptation control. This modular segmentation reduces processing complexity by dividing the location-dependent adaptation task into manageable functions that can be executed independently.
Solution Approach 2:
The patent uses parameter changes by applying rules that evaluate geo-information and trigger different adaptation actions based on location, network conditions, and data volume constraints. By changing the parameters of adaptation control based on geographic parameters, the system achieves location-dependent control without requiring complex processing for each individual case.
Data Source
AI summary
To control content delivery to plural clients of a mobile communication network, a network entity of the mobile communication network collects geo information of the plural clients and evaluates the collected geo information of the plural clients based on a rule to determine whether the content delivery is to be adapted. The network entity identifies a region for which the content delivery is to be adapted. The network entity selectively outputs a message to a controlling entity if it is determined that the content delivery is to be adapted. The controlling entity controls the content delivery in response to receiving the message, to adapt the content delivery for clients located in the identified region.