Base station traffic prediction method and system, storage medium and equipment
The invention relates to a base station traffic prediction method and system, a storage medium and equipment, and the method comprises the following steps: obtaining time sequence characteristics under different frequencies based on an original traffic time sequence in historical traffic data of a b...
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| creator | ZHAI LINBO CHEN YAWEN ZHAO JINGMEI DING FENGQIAN YANG FENG |
| description | The invention relates to a base station traffic prediction method and system, a storage medium and equipment, and the method comprises the following steps: obtaining time sequence characteristics under different frequencies based on an original traffic time sequence in historical traffic data of a base station; taking the base stations as nodes, and constructing a node graph among the plurality of base stations by using the obtained time sequence characteristics; updating time sequence features by using a graph convolutional neural network based on the node graph, and generating node embedding; and establishing a time sequence relation for node embedding based on a time sequence convolutional network, constructing a prediction model of a base station flow sequence, and realizing base station flow prediction based on the constructed prediction model. The method can be used for traffic prediction of a plurality of mobile base stations, and an ideal prediction effect can be realized.
本发明涉及基站流量预测方法、系统、存储介质及设备，其中， |
| format | Patent |
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本发明涉及基站流量预测方法、系统、存储介质及设备，其中，</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNir0KAjEQBtNYiPoOsVfwOIi1HoqVNvbHknzRgPkxu1f49h6HD2A1MDNzdTsSQ7OQhJy0VPI-WF0qXLCTipBndpqS0_xhQdyMd670wJhcGOKU8B5CiUiyVDNPL8bqx4Van0_37rJFyT24kEWC9N21aVpjdmZvDu0_zxdixDcR</recordid><startdate>20211116</startdate><enddate>20211116</enddate><creator>ZHAI LINBO</creator><creator>CHEN YAWEN</creator><creator>ZHAO JINGMEI</creator><creator>DING FENGQIAN</creator><creator>YANG FENG</creator><scope>EVB</scope></search><sort><creationdate>20211116</creationdate><title>Base station traffic prediction method and system, storage medium and equipment</title><author>ZHAI LINBO ; CHEN YAWEN ; ZHAO JINGMEI ; DING FENGQIAN ; YANG FENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113660676A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHAI LINBO</creatorcontrib><creatorcontrib>CHEN YAWEN</creatorcontrib><creatorcontrib>ZHAO JINGMEI</creatorcontrib><creatorcontrib>DING FENGQIAN</creatorcontrib><creatorcontrib>YANG FENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHAI LINBO</au><au>CHEN YAWEN</au><au>ZHAO JINGMEI</au><au>DING FENGQIAN</au><au>YANG FENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Base station traffic prediction method and system, storage medium and equipment</title><date>2021-11-16</date><risdate>2021</risdate><abstract>The invention relates to a base station traffic prediction method and system, a storage medium and equipment, and the method comprises the following steps: obtaining time sequence characteristics under different frequencies based on an original traffic time sequence in historical traffic data of a base station; taking the base stations as nodes, and constructing a node graph among the plurality of base stations by using the obtained time sequence characteristics; updating time sequence features by using a graph convolutional neural network based on the node graph, and generating node embedding; and establishing a time sequence relation for node embedding based on a time sequence convolutional network, constructing a prediction model of a base station flow sequence, and realizing base station flow prediction based on the constructed prediction model. The method can be used for traffic prediction of a plurality of mobile base stations, and an ideal prediction effect can be realized.
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS |
| title | Base station traffic prediction method and system, storage medium and equipment |
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