Media Call Edge Processing for Battery-Efficient UE Streaming
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Solution Overview
Problem
Existing digital devices face challenges in processing media data during real-time communication sessions due to limited processing power and battery life, particularly in augmented and extended reality applications, which require sophisticated AI/ML techniques.
Innovation Solution
Offload processor-intensive media processing tasks to intermediate network devices, such as edge servers, allowing user devices to conserve power and resources while maintaining high-quality media experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If user devices perform media processing tasks locally, then processing capability is improved, but energy consumption and device complexity increase
Solution Approach 1:
The patent introduces an intermediate network device (edge server) as a mediator between the user device and the media processing function. The user device sends media data to the edge server, which performs the processing tasks (filtering, translation, captioning) and returns the processed data. This intermediary approach allows processing capability to be improved without increasing energy consumption at the user device, as the heavy processing is offloaded to the network infrastructure.
2Power
If user devices perform media processing tasks locally, then processing capability is improved, but device complexity increases
Solution Approach 1:
The edge server acts as an intermediary that handles complex media processing tasks, eliminating the need for user devices to have sophisticated local processing capabilities. The user device only needs basic communication functionality to send and receive media data, significantly reducing device complexity while maintaining access to advanced processing features through the network.
3Manufacturing precision
If processor-intensive tasks are performed on user devices, then media processing quality is improved, but battery life deteriorates
Solution Approach 1:
The edge server serves as an intermediary that performs processor-intensive media processing tasks (AI/ML-based filtering, translation, captioning) remotely. This allows high-quality media processing to be achieved without consuming battery power at the user device, as all heavy computational tasks are executed on the network infrastructure rather than on the mobile device's battery-powered processor.
Data Source
AI summary
An example first user equipment (UE) device for communicating media data includes: a memory configured to store media data; and a processing system implemented in circuitry and configured to: establish a media communication session with a second UE device; request that an intermediate network device perform one or more media processing tasks on media data destined for the second UE device and originating from the first UE device, the intermediate network device being between the first UE device and the second UE device; and send the media data of the media communication session destined for the second UE device to the intermediate network device to cause the intermediate network device to perform the one or more media processing tasks on the media data.