Wireless Parameter Adaptation via Digital Twin Path Loss
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Solution Overview
Problem
In bidirectional wireless networks, unsynchronized data transmission leads to mutual interference between wireless nodes, reducing reception quality, especially when stronger signals from nodes close to the gateway overpower weaker signals from nodes farther away, resulting in reduced reception probability and potential loss of data.
Innovation Solution
A method that utilizes a digital twin to determine and adapt wireless parameters such as transmit power, frequency, and data rates based on received signal strength indicator (RSSI) and path loss, allowing for improved reception probability by reducing interference between nodes, and employing artificial intelligence for predictive adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unsynchronized data transmission is used to simplify network operation, then ease of operation is improved, but reception quality deteriorates due to mutual interference between wireless nodes
Solution Approach 1:
The system performs preliminary path loss determination and digital twin creation before actual data transmission. By pre-calculating path loss values for all wireless connections and creating a digital twin model of the network, the system prepares optimization parameters in advance, allowing subsequent transmissions to benefit from pre-computed interference mitigation strategies without requiring complex real-time coordination
Solution Approach 2:
The system uses feedback from received signal strength measurements to continuously update path loss values in the digital twin. By monitoring actual reception quality and comparing it with predicted values, the system adjusts transmission parameters dynamically, creating a closed-loop control mechanism that maintains high reception quality despite unsynchronized transmissions
2Reliability
If transmit power is increased to improve reception probability, then reception probability is improved, but interference to other nodes increases
Solution Approach 1:
The system applies local quality optimization by determining individual path loss values for each wireless connection and assigning specific transmission parameters to each node based on its unique characteristics. Instead of uniform power levels, each wireless node receives customized transmission recommendations tailored to its specific path loss conditions, allowing nodes with higher path loss to transmit with higher power while nodes with lower path loss use reduced power, thereby minimizing overall interference
Solution Approach 2:
The system changes transmission parameters dynamically based on determined path loss values. By adjusting transmit power, frequency selection, and other wireless parameters according to the digital twin model and actual path loss measurements, the system optimizes reception probability for each connection while coordinating parameter changes across the network to reduce mutual interference
3Reliability
If digital twin and path loss determination are implemented to optimize wireless parameters, then reception quality is improved, but device complexity increases
Solution Approach 1:
The system creates a digital twin - a simplified virtual copy of the wireless network - that mirrors the essential characteristics and path loss values of the physical network. This digital model allows complex calculations and optimizations to be performed in the virtual domain, with only the resulting transmission parameters needing to be implemented in the physical system, thereby reducing the complexity burden on actual network devices
4Reliability
If continuous monitoring of RSSI and path loss is performed to adapt parameters dynamically, then reception quality is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic monitoring and adaptation rather than continuous monitoring. By updating path loss values and adapting transmission parameters at scheduled intervals or based on trigger conditions, the system maintains adequate reception quality while allowing wireless nodes to enter low-power states between updates, significantly reducing energy consumption compared to continuous monitoring approaches
Data Source
AI summary
A method adjusts wireless parameters within a bidirectional wireless network having a multiplicity of wireless nodes and a gateway. Wireless connections are provided between the gateway and the wireless nodes. The wireless network is provided as a first digital twin in the wireless node or the gateway or in a wireless-network external head-end. The received signal strength indicator (RSSI) of each of the wireless connections is determined or estimated, and the path loss of the respective wireless connections is determined or estimated from the associated RSSI. The path loss of each of the wireless connections is assigned to the respective wireless connections of the first digital twin, and wherein, on the basis of the path loss of each of the wireless connections of the first digital twin, at least one wireless parameter is adjusted for a future data transmission for at least one wireless connection of the wireless network.