Load Data Transformer Using Broadcast Offloading for Cellular Congestion
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Solution Overview
Problem
The increasing number of communication devices in cellular networks leads to network complexity, higher operational and financial costs, and congestion issues, especially during high-demand events, while broadcast networks offer a more efficient and less complex infrastructure for data transmission.
Innovation Solution
A load data transformer is introduced to offload data from cellular networks to broadcast networks by transforming the data based on the available radio access network resources, including quality adjustment, storage, and scheduling to optimize transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If cellular networks dimension the network for average load, then network complexity and costs are controlled, but congestion and overload situations occur during high-demand events
Solution Approach 1:
The patent introduces a broadcast network as an intermediary system to handle high-demand data transmission. When cellular networks experience congestion during high-demand events, the system switches data transmission to the broadcast network, which has different resource characteristics and can handle large-scale data distribution without the same congestion issues. This mediator approach allows the cellular network to maintain its cost-effective average load dimensioning while relying on the broadcast network for peak demand scenarios.
2Productivity
If more transceivers with higher capabilities are provided to serve increased number of devices, then network capacity increases, but technical complexity and operational costs increase
Solution Approach 1:
The patent merges two different network infrastructures - cellular networks and broadcast networks - into a hybrid system. The cellular network handles unicast communication for individual device services, while the broadcast network handles multicast/broadcast data transmission for high-demand events. This combination allows the system to achieve high network capacity for serving increased numbers of devices without requiring each cellular transceiver to have higher capabilities, thereby avoiding the associated technical complexity and operational cost increases.
3Ease of operation
If cellular networks use unicast communication model to provide services, then individual device services are ensured, but network resources are overconsumed during high-demand events
Solution Approach 1:
The patent implements a dynamic communication model that can switch between unicast and broadcast/multicast modes based on demand characteristics. For individual device services, the system uses unicast communication to ensure quality of service. During high-demand events where multiple users consume the same content, the system dynamically switches to broadcast network transmission, which efficiently delivers the same data to multiple users simultaneously. This dynamic approach maintains ease of operation for individual services while dramatically reducing network resource consumption during high-demand events.
Data Source
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AI summary
The present disclosure provides a load data transformer comprising a data interface configured to communicatively couple to at least one load data source network and at least one load data receiving network, and a data transformer communicatively coupled to the data interface, and configured to receive load data via the data interface from the load data source network, and transform the load data into transformed load data based on a radio access network resources schedule of a broadcast network, and to output the transformed load data via the data interface to the load data receiving network, wherein radio access network resources schedule comprises information about reservations of radio access network resources for at least one radio access network of the broadcast network. Further, the present disclosure provides a respective method.