Distributed Radio Resource Allocation Using Trainable Functions
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Solution Overview
Problem
Current radio communication systems face inefficiencies in resource allocation and conflict management due to centralized control and high signaling overhead, leading to reduced spectrum efficiency and increased conflicts on shared radio channels.
Innovation Solution
A method and apparatus that utilize trainable functions to determine utilization schemes based on radio traffic data, monitor conflict control indicators, and allocate radio resources in a distributed and synchronized manner, allowing for concurrent access by disjoint radio nodes without central granting procedures, thereby reducing conflicts and enhancing spectrum efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized control is used for resource allocation, then conflict management is simplified, but control signaling overhead increases and spectrum efficiency decreases
Solution Approach 1:
The patent implements self-service by enabling radio nodes to autonomously determine utilization schemes based on trained functions and radio traffic data sets. Each node independently monitors conflict control indicators and allocates resources without requiring centralized control, thereby eliminating the need for extensive control signaling while maintaining effective conflict management through distributed decision-making.
Solution Approach 2:
The patent extracts the resource allocation function from centralized control and distributes it to individual radio nodes. By removing the centralized controller and enabling nodes to operate independently using locally trained models and monitored data, the system eliminates control signaling overhead while maintaining coordination through the conflict control indicator mechanism.
2Reliability
If centralized control is used for resource allocation, then coordination is simplified, but spectrum efficiency decreases
Solution Approach 1:
Radio nodes perform self-service by independently determining utilization schemes based on their own trained functions and collected radio traffic data. This autonomous operation enables faster local decision-making and resource allocation without waiting for centralized control, thereby improving spectrum efficiency while maintaining coordination through shared conflict control indicators.
Solution Approach 2:
The patent introduces dynamic adaptation where nodes continuously collect radio traffic data sets and update their trained functions to reflect changing channel conditions. This dynamic learning process enables nodes to adapt to real-time spectrum conditions and optimize resource allocation, improving spectrum efficiency while maintaining coordinated operation through synchronized conflict control monitoring.
3Loss of information
If distributed resource allocation is implemented, then control signaling overhead is reduced, but coordination between nodes becomes more complex
Solution Approach 1:
The patent implements feedback through conflict control indicators that nodes monitor to coordinate their distributed resource allocation decisions. Nodes receive and process these indicators to adjust their utilization schemes, creating a feedback loop that simplifies coordination without requiring complex centralized control. The feedback mechanism enables nodes to synchronize their operations while maintaining low signaling overhead.
Solution Approach 2:
The patent applies preliminary action by having nodes train their functions and collect radio traffic data sets in advance before actual resource allocation occurs. This pre-processing and preparation enables nodes to make informed allocation decisions when needed, reducing the complexity of real-time coordination while maintaining efficient distributed operation.
4Productivity
If synchronized resource allocation is implemented, then spectrum efficiency improves, but time coordination becomes more complex
Solution Approach 1:
The patent implements preliminary action by having nodes perform training and data collection in advance, then execute synchronized resource allocation at predetermined time points. This pre-preparation eliminates the need for complex real-time coordination, allowing nodes to operate in synchronized modes that improve spectrum efficiency without incurring additional time coordination overhead.
Solution Approach 2:
The patent employs periodic action through synchronized resource allocation at regular time intervals or predetermined moments. Nodes operate in periodic cycles where they monitor conflict control indicators and allocate resources in synchronized bursts, improving spectrum efficiency through coordinated access while avoiding continuous time coordination complexity.
Data Source
AI summary
A method for operating a first apparatus. The method includes: training at least one trainable function that is associated with the first apparatus and that is associated with at least one radio channel, and obtaining at least one trained function; collecting at least one radio traffic data set that is associated with a utilization of the at least one radio channel; determining, using the at least one trained function, at least one utilization scheme that is associated with the first apparatus based on the collected at least one radio traffic data set; monitoring whether at least one conflict control indicator is received, and determining at least one monitoring result from the monitoring; allocating radio resources of the at least one radio channel based on the monitoring result and based on the determined utilization scheme; and transmitting data via the allocated radio resources of the at least one radio channel.