Mobile Network Digital Twin for Multi-Timescale RAN Energy Efficiency

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Solution Overview

Problem

Mobile networks face increasing energy demands due to expanded capabilities and exponential growth in connected devices, necessitating improved energy efficiency, particularly in radio access networks (RANs), while maintaining connectivity.

Innovation Solution

Implementing a digital twin that predicts network traffic at multiple time scales, emulates network behavior, and adjusts operations to optimize energy consumption modes in RANs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If network capabilities and connected devices are expanded to provide more services, then network functionality and service capacity are improved, but energy consumption in radio access networks increases

Engineering Contradiction:

Improvenetwork functionalityVSAvoidenergy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The digital twin performs preliminary actions by predicting network traffic at multiple time scales (short-term and long-term) before actual traffic patterns occur. This enables the system to proactively adjust RAN energy consumption modes in advance, optimizing energy efficiency while maintaining network functionality as traffic demands evolve.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a digital twin (a virtual copy) of the mobile network that replicates network behavior and traffic patterns. This copy allows the system to simulate and predict energy consumption scenarios without affecting the actual network, enabling optimization of energy usage while preserving full network functionality in the physical system.

Inventive Principle:

Principle #26Copying

2Use of energy by moving object

If digital twin predicts network traffic at multiple time scales and adjusts RAN operations, then energy efficiency is improved, but system complexity increases

Engineering Contradiction:

Improveenergy efficiencyVSAvoidsystem complexity

Core Design Contradiction:

Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The patent segments the traffic prediction process into distinct time scales (short-term and long-term predictions), allowing the complex prediction task to be divided into manageable components. This segmentation enables the digital twin to handle multiple prediction horizons systematically, improving energy efficiency while organizing system complexity into structured modules.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12445869B2Method and system for using a digital twin of a mobile network to provide energy efficiency

Publication Date: 2025.10.14 DELL PROD LP

AI summary

A system for enhancing an energy efficiency of a mobile network includes a digital twin connected to the mobile network. The digital twin is programmed to: receive, from the mobile network, real-time network traffic data and base station data of base stations operating in the mobile network; generate a first prediction of network traffic at a first time-scale based on the real-time network traffic data; generate a second prediction of network traffic at a second time-scale based on the real-time network traffic data and the base station data; and generate a first power consumption prediction for the mobile network based on the first prediction, the second prediction, and a topology of the mobile network, and the digital twin emulates at least a portion of the mobile network.