DSS Cell Resource Allocation Using Dual Load Prediction
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Solution Overview
Problem
Current dynamic spectrum sharing methods in 4G LTE and 5G NR rely on real-time prediction based on short-term historical data, leading to inaccuracies in resource allocation and mismatch between predicted and actual business needs, affecting user experience.
Innovation Solution
A resource allocation method that utilizes a communication load prediction model trained on long-term historical data to determine a resource allocation strategy by comparing it with short-term predictions, ensuring accurate resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time prediction based on short-term historical data is used for resource allocation, then the response speed is improved, but the prediction accuracy deteriorates
Solution Approach 1:
The patent segments the prediction task into two distinct components: short-term prediction using real-time data for rapid response, and long-term prediction using historical data for accuracy. This segmentation allows the system to leverage the strengths of both approaches without being constrained by their individual weaknesses.
Solution Approach 2:
The patent introduces an intermediary mechanism that reconciles short-term and long-term predictions. This intermediary process integrates both prediction results to determine the final resource allocation strategy, ensuring that both speed and accuracy considerations are balanced in the decision-making process.
2Use of energy by moving object
If only short-term historical data is used for prediction, then the computing resource consumption is reduced, but the prediction accuracy deteriorates
Solution Approach 1:
The patent divides the data processing task into segments with different computational requirements. Short-term data processing consumes minimal computing resources for rapid predictions, while long-term data processing is performed separately to enhance accuracy without continuously consuming high computing resources.
Solution Approach 2:
The patent performs preliminary analysis on long-term historical data to establish baseline patterns and trends. This preliminary action enables the system to make more accurate predictions with reduced real-time computing requirements, as the heavy computational work has already been done on historical data.
3Measurement precision
If long-term historical data is used for prediction, then the prediction accuracy is improved, but the response time increases
Solution Approach 1:
The patent segments the prediction process into immediate short-term predictions using real-time data and longer-term predictions using historical data. This segmentation enables the system to provide rapid responses for immediate resource allocation while still incorporating long-term trends for improved accuracy.
Solution Approach 2:
The patent performs preliminary processing of long-term historical data to extract key patterns and trends in advance. This preliminary action reduces the computational burden during real-time prediction, allowing the system to incorporate long-term insights without significantly increasing response time.
Data Source
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AI summary
Embodiments of the present application relate to the technical field of communication, and relate to a resource allocation method, apparatus, server and storage medium. The resource allocation method includes: obtaining the first communication load array of the first historical period of designated DSS cell group; based on a preset prediction algorithm, obtaining first predicted communication load of the DSS cell group according to the first communication load array; predicting the communication load of the DSS cell group according to a preset communication load prediction model, and obtaining the second predicted communication load of the DSS cell group, the communication load prediction model is obtained by training based on the second communication load array of the second historical period of the DSS cell group, and the second historical period is greater than the first historical period; determining a resource allocation strategy of the DSS cell group according to a difference between the first predicted communication load and the second predicted communication load, and allocating resources to the DSS cell group according to the resource allocation strategy.