Distributed Parameter Selection for Wireless Network Interference
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Solution Overview
Problem
In communications networks, parameter settings chosen by one device can negatively affect other devices, leading to interference, and existing methods rely on central controllers for coordination, which is inefficient and inflexible.
Innovation Solution
A distributed and dynamic mechanism for communication devices to select parameter settings, such as frequency bands or transmit powers, by exchanging cost function information with neighbors to minimize interference, allowing devices to choose settings that optimize network performance without a central controller.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a communication device changes a parameter setting to improve its communication capability, then the device's performance is improved, but interference to other parts of the network increases
Solution Approach 1:
The patent implements a feedback mechanism where communication devices exchange cost function information with their neighbors. Each device receives cost information from neighbors indicating the impact of potential parameter settings on them, uses this feedback to evaluate the total cost of each available parameter setting, and selects the setting with the lowest total cost. This feedback loop enables devices to adjust their parameter settings while considering the impact on the overall network, thus improving communication capability while minimizing interference to other devices.
2Ease of operation
If a central controller is used to coordinate parameter settings in the network, then parameter setting coordination is improved, but system complexity and control overhead increase
Solution Approach 1:
The patent segments the centralized parameter setting coordination function into distributed autonomous decision-making units at each communication device. Instead of a single central controller making all decisions, each device independently evaluates its own parameter settings by receiving cost information from neighbors and selecting the optimal setting locally. This segmentation eliminates the need for a complex central controller while maintaining effective coordination through distributed interaction among devices.
Solution Approach 2:
The patent enables communication devices to serve themselves in making parameter setting decisions. Each device autonomously evaluates available parameter settings by receiving cost information from neighbors, determines the total cost for each setting, and selects the optimal setting without requiring central controller intervention. This self-service approach simplifies the overall system architecture by eliminating the central controller while maintaining coordinated parameter settings through distributed autonomous decision-making.
3Adaptability or versatility
If parameter settings are updated dynamically by communication devices, then network adaptability is improved, but coordination difficulty increases
Solution Approach 1:
The patent resolves the coordination difficulty in dynamic parameter updates through a feedback mechanism. Each communication device receives cost function information from its neighbors indicating the impact of potential parameter settings on them. This feedback enables devices to make locally optimal decisions that are consistent with network-wide goals, allowing dynamic adaptation without coordination chaos. The feedback loop ensures that each device's autonomous decisions contribute to overall network optimization rather than creating conflicts.
Data Source
AI summary
A system comprises a communication device that chooses a parameter setting from a set of available parameter settings. The system may include multiple communication devices, and each available parameter setting may have an associated cost. The communication device may receive parameter setting information from one or more other communication devices in the system, and the parameter setting information may identify the parameter setting being used by the one or more communication devices in the system. The communication device may choose a parameter setting that is associated with the lowest cost based on the parameter setting information received from the one or more other communication devices in the system.


