Subnetwork Communication Configuration Using RSSI Feedback
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Solution Overview
Problem
Conventional resource allocation schemes for subnetworks face challenges in dynamic environments due to unavailable channel gain information, leading to frequency conflicts and inefficient communication configurations, particularly in high-density IoT scenarios where devices rapidly move and share frequency resources, resulting in significant inter-subnetwork interference.
Innovation Solution
A dynamic communication configuration scheme where an agent device in a subnetwork senses received signal strength indications and updates communication models externally, allowing for flexible and efficient resource allocation without requiring direct channel gain information, using MARL algorithms like MAAC and DQN to optimize transmission frequency and power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional resource allocation schemes are used in dynamic environments, then device connectivity is maintained, but frequency conflicts and inter-subnetwork interference increase due to unavailable channel gain information
Solution Approach 1:
The patent introduces an external device as an intermediary that collects received signal strength indications from multiple subnetworks and uses this information to determine communication configurations. This mediator resolves the frequency conflict problem by centralizing the decision-making process without requiring direct channel gain information between subnetworks, thus maintaining reliability while reducing harmful interference.
Solution Approach 2:
The system implements feedback mechanisms where agent devices in each subnetwork report received signal strength indications to the external device. This feedback loop enables the external device to continuously update communication configurations based on current channel conditions, resolving frequency conflicts dynamically while maintaining device connectivity.
2Productivity
If dynamic communication configuration is implemented using received signal strength indications, then resource allocation efficiency improves, but system complexity increases due to model updates and coordination
Solution Approach 1:
The patent extracts the complex model updating and coordination functions from individual subnetworks and concentrates them in an external device. Each subnetwork's agent device only needs to report received signal strength indications, while the external device handles the sophisticated MARL algorithm execution and communication configuration determination, thus improving resource allocation efficiency without significantly increasing complexity at the subnetwork level.
Solution Approach 2:
The external device autonomously performs model updates and configuration optimizations using the collected signal strength data, without requiring manual intervention or complex coordination between subnetworks. This self-service approach improves resource allocation efficiency while keeping the system manageable through automated operations.
3Adaptability or versatility
If MARL algorithms are used for optimizing transmission frequency and power, then communication configuration adaptability improves, but computational requirements and latency increase
Solution Approach 1:
The patent implements preliminary action by having the external device continuously update communication configuration models in advance using collected signal strength indications. This pre-computation approach allows the system to quickly retrieve and apply optimized configurations when needed, improving adaptability while reducing real-time computational latency.
Solution Approach 2:
The system dynamically adjusts the balance between model updating frequency and configuration application timing. The external device updates models based on changing channel conditions but applies configurations at optimized intervals, maintaining high adaptability while managing computational latency through dynamic control of the update-apply cycle.
Data Source
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AI summary
Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for dynamic communication configuration for subnetworks. In example embodiments, a device receives, from a plurality of subnetworks, a plurality of received signal strength indications. Then, the device updates, at least in part based on the plurality of received signal strength indications, a plurality of communication configuration models for the plurality of subnetworks. Further, the device transmits, to the plurality of subnetworks, a plurality of sets of parameters associated with the plurality of communication configuration models to enable respective communication configurations to be determined in the plurality of subnetworks.