Digital Twin Beamforming for Base Station Overhead Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional beamforming methods in large-scale mobile systems face challenges in managing frequent beam training overhead due to complex channel variability, especially in environments with high mobility and interference, leading to inefficient data payload rates.
Innovation Solution
A digital twin-based beamforming method that uses a virtual space to simulate and determine optimal beam parameters, eliminating the need for traditional beam training by predicting mobile device paths and adjusting antenna arrays without packet exchange, thereby reducing overhead and improving data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beamforming methods are used in large-scale mobile systems, then beamforming gain and spatial beamforming capability are achieved, but frequent beam training overhead increases and data payload rates decrease
Solution Approach 1:
The patent performs beamforming parameter optimization in advance using digital twin simulations before actual communication occurs. The server pre-calculates optimal beamforming parameters based on historical data and predicted channel conditions, so that when communication happens, the parameters are already optimized without requiring frequent beam training overhead during data transmission
Solution Approach 2:
The patent creates a digital twin (virtual copy) of the physical communication environment including base stations, mobile devices, and channel characteristics. This digital replica is used to simulate and optimize beamforming parameters without affecting the actual communication system, eliminating the need for frequent packet exchanges for beam training in the real system
2Measurement precision
If frequent beam training is performed to handle channel variability, then beamforming accuracy is maintained, but system overhead increases and transmission efficiency decreases
Solution Approach 1:
The patent implements a feedback mechanism where the digital twin continuously receives updated channel state information and performance metrics from the physical system. Based on this feedback, the digital twin refines its beamforming parameter recommendations, allowing the system to adapt to channel variability without requiring frequent explicit beam training procedures
Solution Approach 2:
The system pre-computes beamforming parameters using digital twin simulations based on predicted channel conditions and mobile device trajectories. This preliminary optimization eliminates the need for frequent real-time beam training, reducing overhead while maintaining accuracy through advance planning
3Adaptability or versatility
If traditional beam training with packet exchange is used, then beam parameters can be optimized, but data transmission efficiency is reduced due to overhead
Solution Approach 1:
The patent uses a digital twin as a virtual copy of the communication system to perform all beam parameter optimization simulations. This allows the physical system to skip the traditional packet exchange-based beam training process entirely, as the optimization is already performed in the digital replica, thereby eliminating overhead and improving transmission efficiency
Solution Approach 2:
The digital twin autonomously performs beamforming parameter optimization using simulated channel data and performance metrics without requiring continuous interaction with the physical system. This self-service capability allows the physical system to operate at full efficiency without being interrupted by beam training packet exchanges
Data Source
AI summary
An operating method of a server operating a digital twin built into a virtual space for a plurality of base stations and a plurality of mobile devices may be provided.The operating method according to an embodiment of the present disclosure may include: invoking a digital twin-based beamforming management service; obtaining location information about a target mobile device from among the plurality of mobile devices and a target base station corresponding to the target mobile device; searching for a plurality of paths capable of forming a beam from the target base station to the target mobile device based on the location information and spatial information of the digital twin; performing a first communication performance simulation for the plurality of paths; determining a final beamforming parameter based on a result of the first communication performance simulation; and transmitting beamforming information including the final beamforming parameter to the target base station.