Distributed Edge Computing for Cellular Latency Reduction
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Solution Overview
Problem
Current mobile network operators rely on centralized switching centers for wireless data services, leading to significant latency and costs due to the need for data packets to travel from base stations to centralized switches, and the logistical and financial challenges of deploying edge nodes for true edge computing are prohibitive, resulting in inefficient data transmission and limited edge processing.
Innovation Solution
A distributed edge computing platform that locates edge server nodes close to mobile devices, enabling multi-access edge computing and cellular network access, with a network of edge platform nodes providing enhanced mobile coverage and accelerated content delivery through latency-based georouting and a content-addressed intelligent content delivery network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If centralized switching centers are used for wireless data services, then network infrastructure complexity is reduced, but data transmission latency increases significantly
Solution Approach 1:
The patent segments the centralized switching center into distributed edge computing nodes deployed at multiple locations (base stations, cloudlets, edge data centers). This segmentation allows data processing to occur locally near users rather than requiring all data to traverse to a centralized switch, thereby reducing transmission latency while distributing infrastructure complexity across multiple manageable nodes.
Solution Approach 2:
The patent introduces a spatial dimension to network architecture by deploying edge computing nodes at various physical locations between the user and the core network. This dimensional approach transforms the traditional linear centralized architecture into a distributed three-dimensional network structure, enabling parallel data processing paths that reduce latency without proportionally increasing complexity.
2Loss of time
If edge computing nodes are deployed close to mobile devices, then data transmission latency is reduced, but deployment costs and logistical complexity increase
Solution Approach 1:
The patent designs edge computing nodes with multi-functionality, enabling them to perform multiple roles (data processing, content delivery, network access, caching) depending on local requirements. This universality reduces the total number of specialized components needed and allows flexible deployment configurations, thereby reducing overall deployment costs and logistical complexity while maintaining low latency performance.
Solution Approach 2:
The patent merges edge computing functionality with existing network infrastructure elements such as base stations and cloudlets. By combining multiple functions into existing structures rather than deploying entirely separate dedicated edge nodes, the system reduces deployment costs and simplifies logistics while still providing localized low-latency computing capabilities.
3Ease of manufacture
If multiple operators share localized compute infrastructure, then deployment costs are reduced, but network security and privacy requirements become more complex
Solution Approach 1:
The patent implements local quality control by enabling each edge computing node to enforce operator-specific security policies and privacy settings locally, while maintaining a unified infrastructure. This allows multiple operators to share hardware and infrastructure costs while preserving distinct security domains through localized policy enforcement, thereby managing security complexity at the edge rather than requiring centralized complex multi-tenant security systems.
Solution Approach 2:
The patent introduces a multi-tenancy management layer that acts as an intermediary between multiple operators sharing the same physical infrastructure. This intermediary layer handles resource allocation, security isolation, and privacy management, allowing operators to share infrastructure costs while the intermediary system manages the complexity of multi-operator security and privacy requirements through standardized abstraction.
4Speed
If true edge computing is implemented, then content delivery speed is improved, but the logistical challenge of deploying edge nodes becomes prohibitive
Solution Approach 1:
The patent implements dynamic deployment models where edge computing nodes can be activated, deactivated, or relocated based on real-time network conditions and demand. This dynamic approach allows the system to provide fast content delivery when needed while avoiding the permanent logistical burden of maintaining fixed edge node infrastructure, thereby achieving speed improvement without proportional increase in deployment complexity.
Data Source
AI summary
Systems and methods for providing multi-access edge computing and content delivery. At least one cloud platform and at least one server node are provided. The at least one cloud platform includes a domain name system (DNS) service, an edge DNS device, at least one cloud platform application programming interface (API), a router, at least one database, and a cloud platform storage component. Hypertext Transfer Protocol (HTTP) requests are operable to be send between the at least one cloud platform and at least one edge device. The at least one server node is operable to create at least one cellular network and provide cellular network services to the at least one edge device.


