MEC Device Selection for Multi-Terminal Latency Balance
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Solution Overview
Problem
Current technologies lack a method to select Multi-access Edge Computing (MEC) device installation locations that consider varying latency across multiple client terminals, essential for achieving balanced low-latency communication in applications like online gaming and self-driving cars.
Innovation Solution
A management device that extracts relevant configuration information to select an MEC device by calculating first and second latency amounts between network devices and client terminals, ensuring optimal latency balance across all terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If an MEC device is installed in a single location to serve multiple client terminals, then communication latency for some terminals is reduced, but latency for other terminals increases
Solution Approach 1:
The patent changes the selection parameter from simple distance or single-terminal latency to a composite evaluation index that considers latency distribution across all terminals. The management device calculates latency from each MEC device candidate to multiple client terminals and uses statistical parameters (maximum latency, average latency, latency standard deviation) to evaluate and select the optimal MEC device location that balances latency for all terminals
2Adaptability or versatility
If MEC devices are deployed in multiple locations, then latency balance across terminals improves, but system complexity increases
Solution Approach 1:
The patent segments the MEC device selection problem into two parts: (1) the management device performs comprehensive latency evaluation and selects the optimal MEC device location, and (2) the selected MEC device serves all client terminals. This segmentation allows complex multi-terminal latency optimization to be handled centrally without requiring complex coordination among multiple MEC devices
Solution Approach 2:
The management device acts as an intermediary between client terminals and MEC devices. It collects terminal location information, evaluates MEC device candidates based on latency to all terminals, and makes the optimal selection. This intermediary approach simplifies the system by centralizing the decision-making process rather than requiring direct complex interactions between multiple MEC devices and terminals
Data Source
AI summary
A management device comprises an extracting means that extracts, from a database storing configuration information, the client terminals belonging to a specified group, network devices directly serving the client terminals, network devices between the serving network devices, and MEC devices to be treated as candidates for selection, and a selecting means that selects the MEC device to be accessed by the plurality of client terminals forming the group by using first and second amounts of latency, the first amount of latency being the amount of latency between each network device directly serving the client terminals belonging to the group and each MEC device, and the second amount of latency being the amount of latency between each network device directly serving the client terminals belonging to the group and each client terminal.