Edge Computing Nodes for Content Delivery Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile telecommunications networks face increased costs and capacity issues due to rising data traffic, with existing architectures being hierarchical, expensive to scale, and lacking intelligent local routing or processing capabilities, leading to inefficient use of resources and potential service degradation.
Innovation Solution
Implementing a novel platform with soft nodes and edge-based intelligence that allows for data caching, intelligent routing, and offloading of traffic directly to the internet, reducing the burden on the core network and optimizing data flow through commoditized IT platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data traffic volume increases to meet user demand, then service coverage and user satisfaction improve, but network cost and operational expense increase
Solution Approach 1:
The patent segments the network architecture into hierarchical levels (core network, regional networks, local access networks) with distributed intelligence at each level. This allows local decision-making and content caching at edge nodes, reducing the burden on the core network and lowering operational costs while maintaining high data traffic capacity.
Solution Approach 2:
The patent introduces a new dimensional approach by deploying multi-access edge computing nodes throughout the network geography, transforming the traditional centralized architecture into a distributed three-dimensional network structure. This enables intelligent local routing and content delivery closer to users, reducing backhaul traffic and operational expenses.
2Device complexity
If traditional hierarchical network architecture is used, then network management and control are simplified, but scaling cost and complexity increase
Solution Approach 1:
The patent creates universal edge computing nodes that can perform multiple functions (content caching, local routing, service delivery, intelligence processing) at different network locations. These standardized multi-functional nodes can be deployed and scaled independently without requiring complex proprietary implementations at each site, reducing scaling costs while maintaining architectural simplicity.
3Reliability
If proprietary hardware and software platforms are used at network elements, then device performance and reliability are improved, but adaptability and ease of introducing new capabilities deteriorate
Solution Approach 1:
The patent extracts the intelligence and control functions from proprietary network elements and consolidates them into standardized edge computing nodes with open interfaces. This separation allows the use of reliable proprietary components where needed while maintaining adaptability through standardized, vendor-agnostic edge nodes that can be easily configured and updated with new capabilities.
4Device complexity
If conventional base stations without intelligent local routing are used, then device simplicity and manufacturing cost are reduced, but network efficiency and resource utilization deteriorate
Solution Approach 1:
The patent implements preliminary action by pre-positioning content and intelligence at edge computing nodes before user requests arrive. Edge nodes proactively cache popular content, pre-establish routing paths, and perform local service delivery, eliminating the need for complex real-time decision-making at base stations while significantly improving network efficiency and resource utilization.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A mobile telecommunications network includes a core network (2020) having content processing means (2060, 2070) operable to provide a core network service relating to content, and a radio access network (700, 2003) having radio means for wireless communication with terminals (10) registered with the network, wherein the radio access network (700, 2003) includes a local source of content (1100). The telecommunications network is arranged to: deliver content from the local source of content (1100) to the terminal (10),to send to the core network (2020) an indication of the content delivered from the local source of content (1100) to the terminal (10), to obtain a copy of the content of the local source of content ( 1100) provided to the terminal (10), and to provide the content processing means (2060, 2070) core network service in relation to the copy of the content of the local source.