Dynamic Transmit Power Control in Mesh Networks
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Solution Overview
Problem
In mobile mesh networks, managing transmit power dynamically is challenging due to the constant motion of nodes, varying distances, and interference, which affects network performance and power efficiency, especially when scaling to large node counts.
Innovation Solution
A method that adjusts transmit power levels based on signal-to-noise ratio (SNR) comparisons, using exponential moving averages and frequency band selection to minimize interference and optimize power usage, allowing nodes to adapt dynamically and reuse frequencies effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If transmit power is increased to maximize transmit distance, then network coverage is improved, but interference to nearby nodes increases and power consumption increases
Solution Approach 1:
The patent implements dynamic transmit power adjustment where each node continuously monitors SNR of received beacon packets and adjusts its transmit power accordingly. The transmit power is not fixed but dynamically changed based on real-time network conditions, allowing nodes to adapt to changing distances and interference levels as they move within the mesh network.
Solution Approach 2:
The system uses feedback from SNR measurements of beacon packets to control transmit power. Each node measures the SNR of received beacons, compares it to a predetermined range, and uses this feedback to determine power adjustment values. This closed-loop feedback mechanism ensures transmit power is optimized based on actual reception quality at neighboring nodes.
2Reliability
If transmit power is increased to ensure all nodes remain accessible, then network reliability is improved, but power consumption increases
Solution Approach 1:
The patent changes the power parameter dynamically based on SNR conditions. When SNR is within the predetermined range, indicating good reception quality, the node reduces transmit power to save energy. When SNR falls outside the range, the node increases power to maintain reliability. This parameter adaptation allows the system to maintain node accessibility while minimizing power consumption.
Solution Approach 2:
Instead of transmitting at full power continuously, the system applies partial power adjustment based on actual needs. The transmit power is increased only when necessary (when SNR is outside the range) and reduced when conditions are good, avoiding excessive power usage while maintaining adequate node accessibility.
3Object-generated harmful factors
If transmit power is dynamically adjusted based on SNR, then frequency reuse is maximized and interference is reduced, but device complexity increases
Solution Approach 1:
The patent segments the power control function into discrete steps based on SNR measurements. Instead of continuous complex optimization, the system divides power adjustment into specific levels (full power, reduced power) based on whether SNR is within or outside the predetermined range. This segmentation simplifies the control logic while still achieving effective interference reduction and frequency reuse.
Data Source
AI summary
A system and method for controlling dynamic transmit power in a mesh network are disclosed. Distributed power transmit management methodology that implements transmission power management based on a comparison of signal to noise ratios from received beacon packets is used on a peer-to-peer basis. Embodiments work to keep all nodes accessible, dynamically adaptable to constant changes in the network, maximize frequency reuse, and reduce power requirements to maximize network performance while minimizing interference.