Intelligent Tiered Application Service Architecture for Edge Routing

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Solution Overview

Problem

Next Generation wireless networks face challenges in efficiently deploying radio access and core functions due to geographic span and resource requirements, leading to high costs and complexity in providing end-to-end application services with desired performance metrics.

Innovation Solution

An intelligent end-to-end architecture is implemented with a multi-tiered network structure, where RAN and core control plane functions are centralized at the far edge to support multiple edge deployments, and user planes are decentralized, managed by centralized and distributed controllers for intelligent routing based on various criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If radio access and core functions are deployed at the far edge to support application services, then service performance and reliability are improved, but deployment cost and network complexity increase due to geographic span and resource requirements

Engineering Contradiction:
Improveservice performanceVSAvoidnetwork complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The network architecture is segmented into multiple tiers (far edge, mid edge, edge, non-edge) with different levels of functionality. Control plane functions are centralized at the far edge tier, while user plane functions are distributed across multiple tiers. This segmentation allows each tier to be optimized independently, reducing overall network complexity while maintaining service performance through appropriate function placement.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a multi-dimensional tiered architecture that adds the dimension of hierarchical organization to the traditional flat network structure. By organizing network functions across multiple tiers (far edge, mid edge, edge, non-edge), the system can simultaneously achieve low latency for critical services and cost efficiency for less demanding services, resolving the contradiction between performance and complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If multiple edge deployments are supported with centralized control plane functions, then adaptability and service coverage are improved, but device complexity and resource requirements increase

Engineering Contradiction:
Improveservice coverageVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The far edge control plane functions are designed to be universal and multi-functional, capable of supporting multiple edge deployments and different types of application services through a single centralized controller. This universal controller can dynamically allocate resources and manage different service types, improving adaptability without requiring separate complex devices for each deployment scenario.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent uses virtualization to create virtual copies of network functions across different tiers. The centralized control plane at the far edge can manage multiple virtual network instances and user plane functions distributed across mid edge, edge, and non-edge locations. This copying approach allows single physical infrastructure to support multiple service deployments, reducing device complexity while maintaining versatility.

Inventive Principle:
Principle #26Copying

3Productivity

If user planes are decentralized across multiple tiers, then network efficiency and performance are improved, but system complexity increases due to intelligent routing requirements

Engineering Contradiction:
Improvenetwork efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The intelligent routing system implements feedback mechanisms where the centralized control plane continuously monitors network conditions, service performance, and resource utilization across different tiers. Based on this feedback, the system dynamically adjusts routing decisions to optimize network efficiency. This feedback-driven approach automates complex routing decisions, reducing system complexity while maintaining high productivity through adaptive resource allocation.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250287284A1Method and system for intelligent end-to-end tiered architecture for application services
Publication Date: 2025.09.11 VERIZON PATENT & LICENSING INC
  • US20250287284A1 patent drawing
  • US20250287284A1 patent drawing
  • US20250287284A1 patent drawing

AI summary

A system, a network, an end-to-end network, a method, a non-transitory computer-readable storage medium are described of an intelligent end-to-end architecture for tiers of application services. The system may include a radio access network (RAN) that provides radio access to a core network and mobile edge application service layer networks located at different mobile edges including a far edge, a mid edge, and an edge. The system may include a distributed edge controller configured to determine routing for application service requests, which are sent from end devices, between the mobile edge application service layer networks of the far edge and the mid edge based on one or multiple threshold values.