Dynamic Exclusion Zone for Spectrum Sharing
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Solution Overview
Problem
Current spectrum management systems face challenges in efficiently utilizing radio spectrum resources while protecting primary users from interference, particularly in dense network deployments where traditional prediction models are inadequate due to their inability to account for time-varying user behavior and geographical variations in service demands.
Innovation Solution
An electronic device equipped with processing circuitry that employs a time-varying multistate model to estimate communication service modes of user equipment, determining a primary exclusion zone based on historical data and user behavior patterns, thereby optimizing resource allocation and minimizing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed geographical exclusion zone is applied to primary users, then interference protection is ensured, but radio spectrum resource utilization is reduced
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed exclusion zone to a dynamic exclusion zone whose radius changes based on real-time user behavior predictions. The system continuously updates the exclusion zone radius according to predicted user activity patterns, allowing the zone to expand when users are active and contract when inactive, thus balancing interference protection with spectrum utilization.
Solution Approach 2:
The patent changes the parameter of exclusion zone radius from a static value to a dynamic value that varies with user behavior characteristics. By predicting user activity patterns and adjusting the exclusion zone radius accordingly, the system optimizes the balance between protecting primary users from interference and allowing efficient spectrum sharing with secondary users.
2Measurement precision
If traditional prediction models are used, then system complexity is low, but accuracy in predicting time-varying user behavior is insufficient
Solution Approach 1:
The patent implements feedback mechanisms where historical user behavior data is continuously collected and used to refine prediction models. The system uses actual user behavior observations to validate and update prediction algorithms, improving accuracy over time while managing model complexity through iterative learning processes.
Solution Approach 2:
The patent applies preliminary action by pre-processing historical user behavior data to extract patterns and features before making predictions. The system performs preliminary analysis and feature engineering on historical data to build robust prediction models that can accurately forecast future user behavior, preparing the necessary computational framework in advance.
Data Source
AI summary
The present disclosure relates to an electronic device, a wireless communication method and computer-readable medium. According to one embodiment, an electronic device used for wireless communication comprises a processing circuit. The processing circuit is configured to: estimate the communication service modes for a user equipment within a target time segment on the basis of a time-variant multi-status model; and on the basis of the estimated communication service modes, to determine the size of a primary user protection area to be applied to the user equipment.