Dynamic Data Transmission Mode Selection for Network Resource Efficiency
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Solution Overview
Problem
Current communication systems face inefficiencies in content delivery, particularly during high-traffic events like sporting events or concerts, as unicast transmission is not radio resource efficient and lacks optimization for massive data handling.
Innovation Solution
An apparatus and method that predict data consumption areas and determine optimal data transmission modes, such as multicast, unicast, or broadcast, by analyzing user device data consumption characteristics and instructing communication network elements to provide data transmission accordingly, enabling dynamic switching and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If unicast transmission is used for content delivery, then individual user data requirements can be met, but radio resource efficiency deteriorates and network capacity is insufficient for massive data handling
Solution Approach 1:
The patent segments users into different groups based on their data consumption characteristics and predicts consumption patterns to divide the network into different transmission zones. This allows the system to apply different transmission modes (unicast for individual users, multicast for groups) in different segments, optimizing resource utilization while meeting individual user requirements.
Solution Approach 2:
The patent merges multiple unicast transmission streams into a single multicast transmission when users have similar consumption patterns and are located in the same predicted consumption area. This combining approach reduces redundant transmissions and improves radio resource efficiency while maintaining the ability to deliver data to multiple users simultaneously.
2Loss of energy
If dynamic transmission mode switching is implemented, then resource efficiency improves, but system complexity increases
Solution Approach 1:
The patent performs preliminary prediction of data consumption areas and user behavior patterns before actual data transmission occurs. By predicting consumption patterns in advance and pre-configuring transmission modes for different scenarios, the system reduces the complexity of real-time decision-making and enables automated, efficient transmission mode switching without requiring complex on-the-fly calculations.
Data Source
AI summary
An apparatus, method and computer program product for: receiving information relating to data consumption characteristics of at least one user device, predicting, based on the received information, at least one data consumption area at a first point in time, determining one or more data transmission modes based on the received information and the predicted at least one data consumption area and instructing at least one communication network element to provide data transmission at the first point in time according to the determined data transmission mode.