Mean Field Game Algorithm for Mobile Data Offloading Rate

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Solution Overview

Problem

The challenge lies in determining an optimal data offloading rate for connected mobile devices, such as vehicles, to an edge server, as the increasing number of devices connecting to a single server complicates the distribution of available resources, leading to inefficiencies in previous solutions.

Innovation Solution

A system utilizing a mean-field game algorithm to determine the optimal offloading rate by receiving mobile device transmission information and edge server resource information, allowing for simultaneous optimization of offloading rates across multiple devices, considering factors like data generation rates, latency, and traffic conditions, and supporting seamless handover between edge servers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If the number of connected vehicles increases, then the system capacity and service coverage are improved, but the difficulty of determining optimal offloading rates and resource distribution complexity increases

Engineering Contradiction:
Improvenumber of connected vehiclesVSAvoidresource distribution complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent transforms the complex multi-device resource allocation problem into a tractable form by changing the parameter representation from individual device-level decisions to mean-field aggregate behavior. The system uses distribution functions to describe the population of devices and their offloading rates, converting discrete complex optimization into continuous parameter optimization that scales with the number of devices.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces a mean-field game algorithm as an intermediary computational layer between the edge server and individual vehicles. This intermediary processes the aggregate state of the system and generates offloading rate recommendations, avoiding the need for direct complex interactions between the server and each individual device while maintaining optimal resource distribution.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If traditional resource allocation methods are used, then the system structure is simple, but the computation time increases significantly with the number of connected devices

Engineering Contradiction:
Improvealgorithm complexityVSAvoidcomputation time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent changes the computational parameters from individual device optimization variables to mean-field distribution parameters. By optimizing the distribution function parameters rather than individual device rates, the computation time becomes independent of the number of connected devices, achieving O(1) scaling with respect to device count.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent uses the mean-field approximation where each device's optimal behavior is derived from the average behavior of the population rather than solving the full N-device problem. This copying approach allows the system to leverage aggregate statistical properties to determine individual device strategies, dramatically reducing computational burden.

Inventive Principle:
Principle #26Copying

3Measurement precision

If individual offloading rate optimization is performed for each device, then the optimization precision is high, but the system cannot maintain performance as the number of devices increases

Engineering Contradiction:
Improveoffloading rate optimization precisionVSAvoidsystem performance consistency
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent transitions from precise but computationally intractable individual device optimization to precision-maintaining mean-field optimization. By working with distribution functions and their parameters, the system achieves optimization precision comparable to individual device optimization while maintaining consistent performance across varying numbers of devices through the scalability of the mean-field approach.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11659028B2Data offloading rate determination using mean field games
Publication Date: 2023.05.23 TOYOTA JIDOSHA KK
  • US11659028B2 patent drawing
  • US11659028B2 patent drawing
  • US11659028B2 patent drawing

AI summary

Systems, methods, and other embodiments described herein relate to determining an optimal data offloading rate for one or more connected mobile devices. In one embodiment, a method includes receiving mobile device transmission information and receiving edge server resource information. The method includes determining an offloading rate for a mobile device to an edge server based on the mobile device transmission information, the edge server resource information, and a mean-field game algorithm. The method includes outputting the offloading rate to the mobile device.