Network Resource Usage Determination via Markov Chain Prediction
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Solution Overview
Problem
Cognitive radio networks face challenges in accurately predicting and efficiently allocating licensed spectrum resources for secondary users due to the lack of effective spectrum allocation information from primary users, leading to hysteresis and reduced usage efficiency.
Innovation Solution
A determination device and method that includes a management module for storing and updating transformation situations of primary user network resource use statuses and a determination module to predict current use statuses, allowing secondary users to determine available resources in advance and minimize interference with primary users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex algorithms are used to optimize spectrum allocation, then the accuracy of resource determination is improved, but the time required for determination increases
Solution Approach 1:
The patent applies preliminary action by pre-establishing a Markov chain model that captures the temporal correlation characteristics of primary user spectrum usage patterns. This model is built in advance using historical data, allowing the system to predict future resource availability without performing complex real-time optimization calculations. The management module stores transformation situations of use statuses, enabling rapid prediction of current period resource availability based on previous states.
2Reliability
If spectrum allocation is optimized after resource allocation, then the fairness of resource sharing is improved, but the productivity of the system decreases
Solution Approach 1:
The patent implements preliminary action by using the Markov chain model to predict primary user resource usage patterns in advance, allowing the secondary network to proactively allocate resources based on predicted availability rather than reacting after allocation occurs. This predictive approach enables the system to determine available resources before they are needed, improving both efficiency and fairness simultaneously.
Solution Approach 2:
The patent applies feedback by continuously monitoring and storing actual primary user resource usage data in the management module, using this information to update and refine the Markov chain model's transition probabilities. This feedback mechanism ensures the model accurately reflects real-world usage patterns, improving prediction accuracy and enabling more effective resource allocation decisions that balance fairness and efficiency.
3Measurement precision
If sensing operations are extended to ensure allowable interferences, then the accuracy of interference detection is improved, but the time available for data transmission decreases
Solution Approach 1:
The patent applies preliminary action by using the Markov chain model to predict primary user resource usage patterns in advance, allowing the secondary network to proactively allocate resources based on predicted availability rather than reacting after allocation occurs. This predictive approach enables the system to determine available resources before they are needed, improving both efficiency and fairness simultaneously.
Data Source
AI summary
The invention discloses a determination device and method for network resource usage. The device includes a management module used for storing and updating transformation situations of use statuses of the network resources of a primary user, wherein the transformation situations comprise each of a plurality of use statuses of the network resources transforming to other use status; and a determination module used for predicting a use status of the network resources of the primary user in current period in accordance with a use status of the network resources of the primary user in a period prior to the current period and other use status transformed from the use status in the period prior to the current period in the transformation situations under the condition of predicting the resources in the current period, and determining network resources which may be used by a secondary user in the current period depending on the predicted use status in the current period. The invention may predict the use statuses of the network resources of the primary user in the current period reasonably, thereby decreasing the time of sensing and overcoming the hysteresis of the secondary user for using the resources.