Dynamic Cost Routing for Wireless Traffic Distribution
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Solution Overview
Problem
In wireless communication networks like NTN, traffic concentration occurs on specific links with low cost values, leading to congestion when communication status varies due to factors like rain attenuation.
Innovation Solution
A wireless communication method and system that dynamically adjust cost values based on varying communication status, using moving node stations with transmission buffers and switchable communication paths to distribute traffic and reduce concentration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a path with minimum sum of cost values is selected for communication, then communication efficiency is improved, but traffic concentration occurs on specific links leading to congestion
Solution Approach 1:
The patent applies dynamics by making the cost values time-varying rather than fixed. The cost values are dynamically adjusted based on real-time communication status information (such as rain attenuation conditions) so that the communication path selection adapts to changing network conditions. This prevents traffic concentration on always-low-cost paths and distributes traffic more evenly across multiple paths under varying conditions.
Solution Approach 2:
The patent changes the parameter of cost values from static to dynamic. By adjusting cost values based on communication status information (e.g., signal quality, attenuation levels), the system transforms the routing decision parameters into adaptive parameters that reflect current network conditions. This parameter change enables the system to avoid congested paths and select alternative paths when conditions deteriorate.
2Ease of operation
If fixed cost values are used for communication path determination, then path selection is simple, but traffic concentration occurs when communication status varies due to rain attenuation
Solution Approach 1:
The patent implements feedback by incorporating communication status information (such as signal quality measurements and attenuation data) into the cost value calculation. The system continuously monitors the communication status and uses this feedback to adjust cost values, thereby adapting the routing decisions to current environmental conditions like rain attenuation. This feedback mechanism allows the system to respond to harmful factors dynamically.
Solution Approach 2:
The patent applies dynamics by making the cost values time-varying rather than fixed. The cost values are dynamically adjusted based on real-time communication status information (such as rain attenuation conditions) so that the communication path selection adapts to changing network conditions. This prevents traffic concentration on always-low-cost paths and distributes traffic more evenly across multiple paths under varying conditions.
3Reliability
If dynamic cost adjustment is implemented to prevent traffic concentration, then traffic distribution is improved, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the routing system to automatically adjust cost values based on monitored communication status information without requiring external manual intervention. The system self-adapts to changing conditions by using the collected status data to modify cost values and select optimal paths autonomously. This self-service capability reduces the need for complex external control mechanisms while maintaining reliable traffic distribution.
Data Source
AI summary
A wireless communication method according to an embodiment is a wireless communication method in which a plurality of moving node stations each equipped with a transmission buffer transmit data via switchable wireless communication paths, the wireless communication method including: an acquisition step of acquiring correspondence information corresponding to an amount of data transmitted by each of the node stations each time a communication status varies; a changing step of changing a cost value per unit link speed between the plurality of node stations on the basis of each piece of the acquired correspondence information; a calculation step of calculating cost values among the plurality of node stations using the changed cost values; and a determination step of determining, as a communication path, a path with a minimum sum of the calculated cost values.


