Method for managing wireless communication networks by prediction of traffic parameters
A method for managing a wireless network includes collecting a sequence of traffic data samples and arranging the sequence of data samples in a level-0 residual matrix having a dimension corresponding to a time scale defining a time window. The method also includes performing a least one cycle of su...
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creator | Buldorini, Andrea Schiavoni, Andrea |
description | A method for managing a wireless network includes collecting a sequence of traffic data samples and arranging the sequence of data samples in a level-0 residual matrix having a dimension corresponding to a time scale defining a time window. The method also includes performing a least one cycle of subdividing the matrix based on the time scale to form traffic sample sets, calculating a functional that fits each sample set, and calculating an approximation of each sample set. The method also includes joining together the approximations to form an approximated matrix and calculating the difference between the matrix and the approximated matrix. The method further forecasts a traffic data trend for another time window by generating predicted samples based on the previous calculations, and allocating resources of the wireless network based on the traffic data trend. |
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The method also includes performing a least one cycle of subdividing the matrix based on the time scale to form traffic sample sets, calculating a functional that fits each sample set, and calculating an approximation of each sample set. The method also includes joining together the approximations to form an approximated matrix and calculating the difference between the matrix and the approximated matrix. The method further forecasts a traffic data trend for another time window by generating predicted samples based on the previous calculations, and allocating resources of the wireless network based on the traffic data trend.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191210&DB=EPODOC&CC=US&NR=10506457B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191210&DB=EPODOC&CC=US&NR=10506457B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Buldorini, Andrea</creatorcontrib><creatorcontrib>Schiavoni, Andrea</creatorcontrib><title>Method for managing wireless communication networks by prediction of traffic parameters</title><description>A method for managing a wireless network includes collecting a sequence of traffic data samples and arranging the sequence of data samples in a level-0 residual matrix having a dimension corresponding to a time scale defining a time window. The method also includes performing a least one cycle of subdividing the matrix based on the time scale to form traffic sample sets, calculating a functional that fits each sample set, and calculating an approximation of each sample set. The method also includes joining together the approximations to form an approximated matrix and calculating the difference between the matrix and the approximated matrix. 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The method also includes performing a least one cycle of subdividing the matrix based on the time scale to form traffic sample sets, calculating a functional that fits each sample set, and calculating an approximation of each sample set. The method also includes joining together the approximations to form an approximated matrix and calculating the difference between the matrix and the approximated matrix. The method further forecasts a traffic data trend for another time window by generating predicted samples based on the previous calculations, and allocating resources of the wireless network based on the traffic data trend.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
title | Method for managing wireless communication networks by prediction of traffic parameters |
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