Method and system for resource reservation based on flow direction prediction, and mobile communication system
A resource reservation and resource technology, applied in network traffic/resource management, transmission system, wireless communication, etc., can solve problems such as high resource utilization, real-time model correction, and inability to achieve, and achieve high prediction accuracy and high Prediction accuracy and avoidance of dropped calls
Active Publication Date: 2021-10-22
XIDIAN UNIV
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0002] At present, the existing technologies commonly used in the industry are as follows: One is to reserve resources after the mobile node is handed over. The problem with this technology is that the resource reservation process takes a certain amount of time, and the user experience cannot be guaranteed for a period of time after the handover
The second is to fully reserve resources before user switching. The problem brought by this technology is that the resource utilization rate is not high
The third is resource reservation based on prediction. For example, a spectrum pool is used to manage idle spectrum resources, and the bandwidth resources required by users in the next stage are predicted through the transmission rate; however, due to the large delay of the transmission rate prediction model, the bandwidth allocation Real-time performance is difficult to guarantee and can only be applied to small-scale networks; the method based on the Markov chain predicts the load status at the next moment through the Markov transfer function, and this method cannot achieve high prediction accuracy for non-stationary sequences degree, and in the case of big data, it is necessary to establish a multi-dimensional Markov state transition diagram for the number of switching between cells, which cannot achieve the effect of short calculation time and simple model; use the wavelet neural network model to predict each area in the next hour Although it can achieve high prediction accuracy, it cannot make real-time changes according to network characteristics.
[0004] (1) Conventional resource reservation technology cannot achieve high resource utilization
[0005] (2) Although the prediction-based resource reservation technology can improve resource utilization, for a single model, due to the complexity of the network environment, the robustness of the model cannot be guaranteed, so real-time changes cannot be made according to network characteristics
[0006] (3) When the reserved resources exceed the total number of resources that the cell can provide, the existing algorithm allows the handover user to randomly access a nearby neighbor cell in order to prevent the handover user from dropping calls, without taking into account the resource occupancy of the surrounding neighbor cells. It will affect the user experience of the neighboring area
If the model is not properly selected, there will be a large error in the prediction results, which will cause too much or too little resource reservation when the network reserves resources based on the prediction results, which will affect resource utilization.
Second, because the network environment is relatively complex, how to make the model correct in real time according to the characteristics of the network is also the difficulty of the above-mentioned technical problems
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0073] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0074] The present invention proposes a resource reservation algorithm based on flow direction prediction. On the one hand, the model prediction results can be corrected in real time according to the characteristics of the network; on the other hand, the resource reservation of each cell in the network can be predicted in advance according to the flow direction prediction results. To prevent users from affecting the user experience in the access network due to random access when they are moving. At the same time, according to the prediction result, the handover user who cannot access the current cell can select the cell wit...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention belongs to the technical field of central resource management and resource negotiation, and discloses a resource reservation method and system based on flow direction prediction and a mobile communication system, which acquire historical data of flow direction between cells; analyze and preprocess the data; The data set is divided and feature extracted; different models are selected for training, and parameters are adjusted to achieve the highest prediction accuracy of the model; the prediction results of the two models are fused in real time; the network reserves resources according to the prediction results; The relationship between the number of reserved resources and the total number of resources that the community can provide determines whether to perform spatial flow operation. Through model fusion, the present invention can make real-time changes according to network characteristics; at the same time, the resource reservation algorithm designed according to the present invention can avoid the phenomenon of too much or too little resource reservation in the conventional reservation algorithm, and then through space Flow direction operation implements load balancing of the network.
Description
technical field [0001] The invention belongs to the technical field of central resource management and resource negotiation, and in particular relates to a resource reservation method and system based on flow direction prediction, and a mobile communication system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: One is to reserve resources after the mobile node is handed over. The problem with this technology is that the resource reservation process takes a certain amount of time, and user experience cannot be guaranteed for a period of time after the handover. The second is to fully reserve resources before user switching. The problem brought about by this technology is that the resource utilization rate is not high. The third is resource reservation based on prediction. For example, a spectrum pool is used to manage idle spectrum resources, and the bandwidth resources required by users in the next stage are...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & AuthorityPatents(China)
IPC IPC(8): H04W28/26H04L12/24
CPCH04L41/142H04L41/147H04W28/26H04W36/0016
Inventor盛敏王瑞娜文娟李建东孙红光刘俊宇陈人冰李洋李伟民
OwnerXIDIAN UNIV