MEC Resource Assignment via Network Performance Indicators

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Solution Overview

Problem

In multi-access edge computing (MEC) environments, user equipment (UE) and base stations face challenges in identifying and selecting the most suitable base station and MEC platform to optimize resource utilization and link performance, leading to inefficiencies in processing and communication resources, especially during handover procedures.

Innovation Solution

The UE analyzes network performance indicators such as resource utilization values and link performance values to intelligently select a target base station and MEC platform, ensuring sufficient resources are available for MEC applications, thereby conserving processing and communication resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional base station selection methods are used, then device compatibility and connection establishment are ensured, but resource utilization efficiency and link performance are suboptimal

Engineering Contradiction:

Improveresource utilization efficiencyVSAvoidselection process complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical/base station selection mechanisms with an intelligent analysis system that uses network performance indicators (NPIs) and machine learning algorithms to automatically identify and select the most suitable base station and MEC platform, optimizing resource utilization without manual intervention

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements continuous feedback loops where NPIs are monitored, analyzed, and used to dynamically adjust base station and MEC platform selections. This feedback mechanism ensures optimal resource allocation while adapting to changing network conditions in real-time

Inventive Principle:

Principle #23Feedback

2Productivity

If intelligent selection based on network performance indicators is implemented, then resource allocation efficiency is improved, but processing overhead and system complexity increase

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidprocessing overhead

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by selectively analyzing only the most relevant network performance indicators for each specific selection scenario, rather than processing all possible parameters. This reduces computational overhead while maintaining selection accuracy through focused analysis of critical metrics

Inventive Principle:

Principle #16Partial or excessive action

3Reliability

If network performance indicators are analyzed in real-time, then link performance is optimized, but measurement and detection difficulty increases

Engineering Contradiction:

Improvelink performanceVSAvoidnetwork performance indicator measurement

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent introduces intermediary components including NPI collection modules, analysis modules, and standardized data processing interfaces that simplify the measurement and detection of network performance indicators. These intermediaries translate complex network metrics into actionable selection criteria, reducing measurement difficulty while maintaining reliability

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11218931B2Systems and methods for assignment of multi-access edge computing resources based on network performance indicators

Publication Date: 2022.01.04 VERIZON PATENT & LICENSING INC

AI summary

A wireless communication device (WCD) may receive resource utilization values indicating an amount of available resources of server devices that are capable of sharing resources to support a session of an application. The WCD may generate performance scores for base station-server device groupings that are candidates for being selected as a target base station and a target server device. The WCD may select the target base station and the target server device based on the set of performance scores. The WCD may cause the session to be established in a manner that allows resources of the target server device to support the session of the application.