SCEF Server Priority Scoring for LTE Data Delivery
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Solution Overview
Problem
Current telecommunications systems face challenges in efficiently managing data delivery to wireless communication devices, particularly in prioritizing and routing data transfers across a large number of devices connected to LTE networks, which can lead to congestion and delayed data delivery.
Innovation Solution
A Service Capability Exposure Function (SCEF) server is introduced to receive data transfer requests from Application Servers, determine priority scores based on subscription profile information, and generate a transfer order mapping to optimize data delivery to wireless communication devices, utilizing geo-redundant data centers with dynamic pairing modes for efficient data routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transfer requests are processed in a first-come-first-served manner without prioritization, then the system operation is simple, but data delivery efficiency deteriorates due to congestion and delays
Solution Approach 1:
The patent applies preliminary action by determining priority scores for data transfer requests before actual data transmission. The SCEF server evaluates subscription profile information, device status, and network conditions in advance to establish a transfer order mapping. This pre-prioritization ensures that when data transmission occurs, high-priority requests are handled first, improving data delivery efficiency without adding complex real-time decision-making during transmission.
Solution Approach 2:
The patent implements dynamics by making the priority scoring system adaptive rather than static. The priority score for each request is dynamically determined based on current subscription profile information, device status, and network conditions. This dynamic approach allows the system to adjust to changing conditions while maintaining a structured prioritization framework, balancing efficiency improvement with manageable complexity.
2Productivity
If priority-based data transfer is implemented, then data delivery efficiency is improved, but the complexity of determining and managing priority scores increases
Solution Approach 1:
The patent introduces an intermediary approach by using a standardized priority scoring mechanism that mediates between multiple input factors (subscription profiles, device status, network conditions) and the final transfer ordering. The SCEF server acts as an intermediary that consolidates these various inputs into a single priority score, simplifying the management complexity while maintaining comprehensive prioritization capabilities.
Solution Approach 2:
The patent applies parameter changes by transforming multiple qualitative factors (subscription tier, device status, network load) into a quantitative priority score parameter. This parameter transformation allows the system to manage complexity by converting diverse input types into a unified metric that can be easily compared and used for ordering, reducing the complexity of priority management while improving transfer efficiency.
3Measurement precision
If subscription profile information is queried for each data transfer request, then accurate priority determination is achieved, but network latency increases due to repeated queries
Solution Approach 1:
The patent applies preliminary action by determining priority scores before data transmission is initiated. The subscription profile information is queried and processed in advance, creating a transfer order mapping that guides subsequent data transfers. This pre-processing approach ensures accurate priority determination while minimizing the time penalty, as the querying overhead is incurred before the critical data transmission phase rather than during it.
4Productivity
If data transfer requests are buffered and reordered, then optimal data delivery is achieved, but the buffering and reordering process adds operational complexity
Solution Approach 1:
The patent applies parameter changes by transforming the buffering process from a complex multi-dimensional management task into a simpler process based on a single priority score parameter. Each buffered request is associated with a calculated priority score, and reordering is performed based on comparing these scores. This parameter-based approach maintains data delivery optimization while reducing buffer management complexity by providing a clear, quantitative basis for ordering decisions.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, receiving, from an application server, a data transfer request associated with delivery of data from the application server to a wireless communication device that is connected to a mobile communication network, determining a priority score for the data transfer request associated with the wireless communication device according to status information in a subscription profile associated with the wireless communication device, comparing the priority score for the data transfer request associated with the wireless communication device to a plurality of priority scores associated with a plurality of data transfer requests associated with deliver of data to a plurality of wireless communication devices that are connected to the mobile communication network to generate a transfer order mapping of a set of requests comprising the data transfer request and the plurality of data transfer requests, and transferring the data from the application server to the wireless communication device according to the transfer order mapping of the set of requests. Other embodiments are disclosed.