Multi-Access Edge Delivery for Low-Latency Media Streaming
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Solution Overview
Problem
Portable electronic devices struggle to provide the processing capabilities required by new services and applications due to limited resources, while cloud media processing faces challenges in providing seamless connectivity and quality of service in media streaming networks.
Innovation Solution
Implementing edge computing with multi-access delivery in media streaming networks, utilizing a transceiver and processor to select and distribute application data across multiple access network-edge data network combinations, adapting distribution based on quality of service metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If cloud media processing is used to provide infinite compute capacity, then processing capabilities are improved, but connectivity reliability and quality of service deteriorate
Solution Approach 1:
The patent segments the media processing function by deploying edge data networks (EDNs) at multiple network locations between the core network and user equipment. This segmentation allows processing capabilities to be distributed closer to users, improving connectivity reliability while maintaining the computational power needed for media processing. Each EDN can independently handle processing tasks, ensuring service continuity even if one segment fails.
2Device complexity
If single access network delivery is used, then network configuration is simple, but quality of service and latency performance deteriorate
Solution Approach 1:
The patent implements dynamic multi-access delivery by enabling the network to dynamically select from multiple candidate access networks and edge data networks based on real-time conditions. The system dynamically determines optimal delivery paths by evaluating availability, coverage area, application requirements, and network conditions, then adapts the distribution of application data across selected access network-EDN combinations based on monitored QoS metrics. This dynamic approach optimizes QoS without requiring complex static configurations.
3Reliability
If multiple access networks are used for multi-access delivery, then quality of service and latency are improved, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the network monitors QoS metrics for selected access network-EDN combinations and uses this feedback to adapt data distribution. The system continuously evaluates performance and adjusts the delivery strategy accordingly, simplifying the management of multiple access networks through automated feedback-driven optimization rather than manual configuration of each network path.
Data Source
AI summary
An apparatus includes a transceiver configured to receive a request for application data from a user equipment (UE). The apparatus also includes a processor operably coupled to the transceiver. The processor is configured to obtain a set of candidate access networks and a corresponding set of edge data networks (EDNs) capable of serving the application data, and determine, based on one or more of: (i) availability of the EDNs, (ii) a coverage area, (iii) one or more application requirements, and (iv) one or more network conditions, to deliver the application data via multi-access delivery. The processor is also configured to select two or more access network-EDN combinations to support the multi-access delivery, distribute portions of the application data across the selected access network-EDN combinations, and adapt the distribution of the application data based on monitoring of quality of service (QOS) metrics for the access network-EDN combinations.