Dynamic Spectrum Resource Allocation for 4G-5G Traffic Prediction
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Solution Overview
Problem
Current spectrum resource sharing solutions between 4G and 5G base stations fail to match real-time traffic demands, leading to resource waste and increased latency due to fixed resource allocations based on current traffic amounts, which do not account for rapid changes in traffic volumes.
Innovation Solution
A method that predicts traffic data amounts for both 4G and 5G systems using historical data, allowing for dynamic allocation of spectrum resources based on predicted traffic patterns, utilizing techniques such as principal component analysis and AI models to classify and decompose traffic data into time-invariant and time-varying components for more accurate resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If spectrum resources are allocated based on current traffic amount with fixed carrier switching period, then resource allocation is simple to implement, but resource allocation cannot match real-time traffic demands leading to resource waste and increased latency
Solution Approach 1:
The patent transforms the static, fixed-period resource allocation into a dynamic system that adapts to real-time traffic conditions. The base station determines carrier switching periods and spectrum resource allocations dynamically based on current traffic amounts of 4G and 5G base stations, allowing the system to respond flexibly to changing traffic demands rather than following a rigid predetermined schedule.
Solution Approach 2:
The patent implements a feedback mechanism where the base station continuously monitors the traffic amounts of both 4G and 5G base stations and uses this information to adjust carrier switching periods and spectrum resource allocations. This closed-loop control ensures that resource allocation decisions are based on actual traffic conditions, optimizing resource utilization while maintaining system stability.
2Stability of the object's composition
If carrier switching period is extended to reduce switching frequency, then system stability improves, but resource allocation responsiveness to traffic changes deteriorates
Solution Approach 1:
The patent makes the carrier switching period a dynamic parameter that adjusts based on traffic conditions rather than a fixed value. When traffic demands change rapidly, the system can shorten the switching period to improve responsiveness. When traffic is stable, the system can extend the period to reduce switching frequency and maintain stability, thus adapting to different operational scenarios.
Solution Approach 2:
The patent changes the carrier switching period parameter dynamically based on traffic amount conditions. The base station evaluates current traffic levels and adjusts the switching period accordingly, allowing the system to optimize between stability and responsiveness by modifying this key temporal parameter in real-time rather than maintaining a constant value.
3Measurement precision
If spectrum resources are allocated based on historical traffic data with prediction, then resource allocation accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by predicting future traffic amounts based on historical traffic data before actual resource allocation decisions are made. The base station analyzes past traffic patterns to forecast upcoming traffic demands, allowing the system to proactively prepare and allocate resources in advance rather than reactively responding to already-occurred traffic changes.
Data Source
AI summary
The present application provides a method for sharing spectrum resource, device, electronic device and storage medium, which belong to the technical field of wireless communication and artificial intelligence. The method includes predicting traffic data amount of the at least two radio access technology (RAT) systems in a set first sharing period according to history traffic data of the at least two RAT systems and allocating spectrum resources in the first sharing period to the at least two RAT systems respectively according to the predicted traffic data amount. Based on the solutions provided by embodiments according to the present application, the utilization rate of spectrum resources can be effectively increased, and the user's traffic perception can be improved.