Wireless Mesh Network Transmission Power Regulation
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Solution Overview
Problem
Wireless mesh networks experience interference due to simultaneous transmission from multiple devices, particularly from substantially periodic data traffic which causes continuous interference with unintended receivers.
Innovation Solution
Regulating transmission signal power by identifying data traffic types as either bursty or substantially periodic, and adjusting power levels accordingly, with lower power settings for substantially periodic traffic to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission power is increased to maintain network coverage and capacity, then network productivity is improved, but interference to unintended receivers increases
Solution Approach 1:
The patent applies local quality by differentiating transmission power levels based on traffic type. Substantially periodic traffic (like routing beacons) transmits at reduced power levels, while bursty traffic maintains higher power levels. This localized adjustment of power quality for specific traffic types reduces interference without compromising overall network capacity.
Solution Approach 2:
The patent changes the power parameter dynamically based on traffic characteristics. By identifying whether traffic is substantially periodic or bursty, the system adjusts transmission power accordingly - reducing power for periodic traffic to minimize interference while maintaining adequate power for bursty traffic to ensure network capacity and coverage.
2Object-generated harmful factors
If transmission power is reduced to minimize interference, then harmful factors are reduced, but signal-to-noise ratio deteriorates
Solution Approach 1:
The patent applies local quality by selectively reducing power only for substantially periodic traffic types that cause continuous interference, while maintaining higher power levels for bursty traffic. This targeted approach ensures that signal-to-noise ratio is preserved for traffic types that require it, while interference is reduced for periodic traffic patterns.
Solution Approach 2:
The patent implements dynamic power adjustment based on real-time traffic classification. The system continuously monitors traffic patterns and adapts power levels accordingly - reducing power when periodic traffic is detected and maintaining higher power when bursty traffic requires it for reliable communication.
3Reliability
If uniform high power is used for all traffic types, then reliability is maintained, but interference increases continuously
Solution Approach 1:
The patent applies local quality by differentiating between traffic types and assigning appropriate power levels. Substantially periodic traffic (such as routing beacons) transmits at reduced power to minimize continuous interference, while bursty traffic maintains higher power to ensure reliable communication during active data transfers.
Solution Approach 2:
The patent changes the power parameter based on traffic characteristics identified through classification. By detecting whether traffic is substantially periodic or bursty, the system dynamically adjusts power levels to optimize both reliability and interference reduction for each traffic type.
4Object-generated harmful factors
If transmission power is adjusted dynamically based on traffic type, then interference is reduced, but device complexity increases
Solution Approach 1:
The patent changes power parameters based on traffic type classification. The access point identifies whether incoming traffic is substantially periodic or bursty and automatically adjusts transmission power accordingly, reducing interference without requiring complex manual configuration or intervention.
Solution Approach 2:
The patent implements self-service through automatic traffic classification and power adjustment. The system monitors its own traffic patterns, identifies periodic versus bursty traffic types, and autonomously regulates power levels without external control, simplifying operation despite the dynamic nature of the adjustment.
Data Source
AI summary
A method of optimizing link transmission parameters between access nodes within a mesh network is disclosed. The method includes each access node within the mesh transmitting packets at N different combinations of data rates and power levels. Each receiving node that receives the data packets at one or more of the N combinations, selects a most desirable one of the received combinations. The receiving nodes indicate to the transmitting nodes the selected most desired combination for transmitting to the receiving node.