Dynamic Network Resource Allocation via Subscriber Profiles
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Solution Overview
Problem
The challenge in wireless communication networks is managing and allocating resources effectively across various devices and services, as the quality and availability of services vary based on the device's capabilities and operating environment, leading to difficulties in providing high-bandwidth services like streaming video and multimedia messaging.
Innovation Solution
The solution involves accessing subscriber profile information to verify authorization and allocate network resources according to service requirements, using a Home Location Registry (HLR) and Mobile Switching Center (MSC) to identify and manage service profiles, and dynamically adjusting resources based on terminal device capabilities and service demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are allocated based on service requirements and subscriber profiles, then service quality and availability are improved, but network complexity and resource management difficulty increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring subscriber profiles with service requirements, authorized services, and quality parameters before actual service delivery. The HLR stores pre-defined service profiles that include resource allocation requirements, allowing the network to quickly match and allocate resources without complex real-time decisions, thus improving service quality while managing complexity through pre-planned configurations
Solution Approach 2:
The patent introduces an intermediary mechanism through the HLR (Home Location Registry) and service profile database that mediates between service requests and network resource allocation. This intermediary layer standardizes the matching process by comparing service requirements against pre-stored profiles, simplifying the complex task of resource allocation while ensuring consistent service quality across different subscribers and services
2Measurement precision
If dynamic profile access and verification are implemented, then service authorization accuracy is improved, but processing time and system response delay increase
Solution Approach 1:
The patent applies preliminary action by pre-storing authorized services, service requirements, and quality parameters in subscriber profiles within the HLR before service requests are processed. This allows the network to quickly retrieve and verify authorization by comparing service requests against pre-defined profiles rather than performing complex real-time verification, thus achieving high authorization accuracy with minimal processing delay
Solution Approach 2:
The patent uses copying by creating standardized service profile templates that can be quickly retrieved and instantiated for different subscribers. Instead of verifying authorization from scratch for each service request, the system copies relevant authorization data from pre-defined profiles, significantly reducing processing time while maintaining accurate authorization decisions
3Reliability
If network resources are allocated according to service profiles and requirements, then service delivery reliability is improved, but network configuration complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex network configuration into separate, manageable service profiles stored in the HLR. Each service profile independently defines requirements, authorized services, and quality parameters for specific subscriber-service combinations. This segmentation allows the network to manage complexity by handling individual profile configurations rather than managing all network settings globally, while ensuring reliable service delivery through consistent profile-based allocation
Solution Approach 2:
The patent uses parameter changes by dynamically selecting and applying different service profile parameters based on the specific service request and subscriber characteristics. The system changes allocation parameters such as bandwidth, resource priority, and quality thresholds according to the matched service profile, enabling reliable service delivery adapted to individual needs without requiring complex manual configuration of each parameter
Data Source
AI summary
A service request is received and associated with a subscriber id. Profile information is accessed for the source of the service request. A copy of the profile information is stored in a network element employed by the source of the service request to access the network.