{"id":2263,"date":"2024-03-26T04:06:44","date_gmt":"2024-03-26T04:06:44","guid":{"rendered":"https:\/\/www.xadv.eu\/?p=2263"},"modified":"2024-04-30T16:19:37","modified_gmt":"2024-04-30T16:19:37","slug":"ai-es-ml-alapu-open-ran-ric-alkalmazasok","status":"publish","type":"post","link":"https:\/\/www.xadv.eu\/hu\/2024\/03\/26\/ai-es-ml-alapu-open-ran-ric-alkalmazasok\/","title":{"rendered":"AI \u00e9s ML Alap\u00fa Open RAN RIC Alkalmaz\u00e1sok"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Az Open API-k el\u0151segitik a k\u00fcl\u00f6nb\u00f6z\u0151 xApp \u00e9s rApp alkalmaz\u00e1sok Open RAN RIC platformba t\u00f6rt\u00e9n\u0151 integr\u00e1l\u00e1s\u00e1t. Ezek az alkalmaz\u00e1sok t\u00e1mogatj\u00e1k a mobil h\u00e1l\u00f3zat \u00fczemeltet\u0151ket, hogy t\u00f6bb szolg\u00e1ltat\u00e1si opci\u00f3t \u00e9s felhaszn\u00e1l\u00e1si lehet\u00f3s\u00e9get alkalmazzanak, bele\u00e9rtve a hibaelh\u00e1r\u00edt\u00e1shoz \u00e9s optimaliz\u00e1l\u00e1shoz sz\u00fcks\u00e9ges \u00e1tfog\u00f3 h\u00e1l\u00f3zatelemz\u00e9si megold\u00e1sokat. M\u00e1r teszteltek &nbsp;\u00e9s \u00e9l\u0151ben is bemutattak t\u00f6bb Open API fejleszt\u0151k \u00e9s m\u00e1s k\u00fcls\u0151 partnerek \u00e1ltal kifejlesztett alapvet\u0151 intelligens alkalmaz\u00e1sfunkci\u00f3t.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"471\" src=\"https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2-1024x471.jpg\" alt=\"\" class=\"wp-image-2264\" srcset=\"https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2-1024x471.jpg 1024w, https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2-300x138.jpg 300w, https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2-768x353.jpg 768w, https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2-18x8.jpg 18w, https:\/\/www.xadv.eu\/wp-content\/uploads\/2024\/03\/near-RT-RIC-AI-ML-xApps-v2.jpg 1344w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center has-small-font-size wp-block-paragraph\"><strong>1.\u00c1bra. xApp-ok a near-RT RIC-ben<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>N\u00e9h\u00e1ny a legfontosabb AI \u00e9s ML alap\u00fa RIC alkalmaz\u00e1sok k\u00f6z\u00fcl<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Az Open API-fejleszt\u0151k AI \u00e9s ML technol\u00f3gi\u00e1t haszn\u00e1lnak alkalmaz\u00e1saik intelligenci\u00e1j\u00e1nak \u00e9s automatiz\u00e1l\u00e1s\u00e1nak maximaliz\u00e1l\u00e1sa \u00e9rdek\u00e9ben. Ezzel lehet\u0151v\u00e9 t\u00e9ve, hogy ezek \u00e1tfog\u00f3bb elemz\u00e9seket \u00e9s h\u00e1l\u00f3zati optimaliz\u00e1ci\u00f3kat v\u00e9gezzenek. N\u00e9h\u00e1ny ilyen alapvet\u0151 funkci\u00f3:<\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-7387b849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<ul class=\"wp-block-list\">\n<li><strong>Anomaly Detection, vagy Anom\u00e1lia-\u00e9szlel\u00e9s<\/strong> automatikusan \u00e9szleli a f\u0151bb kulcsfontoss\u00e1g\u00fa teljes\u00edtm\u00e9nymutat\u00f3k (KPI-k) roml\u00e1s\u00e1t vagy b\u00e1rmilyen v\u00e1ltoz\u00e1s\u00e1t az el\u00fcre defini\u00e1lt hat\u00e1r\u00e9rt\u00e9kekt\u0151l, cluster \u00e9s cellaszinten. Ezt a funkci\u00f3t AI-alap\u00fa intelligencia t\u00e1mogatja, mely pontosabb\u00e1 \u00e9s megbizhat\u00f3bb\u00e1 teszi a m\u0171k\u00f6d\u00e9st. Ez a funkci\u00f3 seg\u00edt cs\u00f6kkenteni a hibajegyek kezel\u00e9si idej\u00e9t az\u00e1ltal, hogy m\u00e9g a korai szakasz\u00e1ban \u00e9szleli a rendellenes m\u0171k\u00f6d\u00e9st.<\/li>\n\n\n\n<li><strong>Energy Saving Manager (ESM)<\/strong> egy innovat\u00edv megold\u00e1s a cell\u00e1k energiafogyaszt\u00e1s\u00e1nak optimaliz\u00e1l\u00e1s\u00e1ra. Az ESM intelligensen kezeli a cella aktiv\u00e1l\u00e1s\u00e1t \u00e9s deaktiv\u00e1l\u00e1s\u00e1t, minim\u00e1lis energiafelhaszn\u00e1l\u00e1st biztos\u00edtva an\u00e9lk\u00fcl, hogy negativan befoly\u00e1soln\u00e1 az \u00fcgyf\u00e9l\u00e9lm\u00e9nyt vagy a KPI-ket. A fejlett predikt\u00edv algoritmusok felhaszn\u00e1l\u00e1s\u00e1val az ESM folyamatosan ellen\u0151rzi a felhaszn\u00e1l\u00f3i \u00e9lm\u00e9nyt \u00e9s a KPI-ket, mik\u00f6zben d\u00f6nt\u00e9st hoz arr\u00f3l, hogy mely cell\u00e1k kapcsolhat\u00f3k be \u00e9s ki intelligensen a szolg\u00e1ltat\u00e1s min\u0151s\u00e9g\u00e9nek befoly\u00e1sol\u00e1sa n\u00e9lk\u00fcl, ezzel biztos\u00edtva az energiatakar\u00e9koss\u00e1got.<\/li>\n\n\n\n<li><strong>Load Balancing Manager (LBM)<\/strong> megbecs\u00fcli az adat sebess\u00e9get \u00e9s a felhaszn\u00e1l\u00f3k mennyis\u00e9g\u00e9t, majd ez alapj\u00e1n el\u0151rejelzi a lehets\u00e9ges torl\u00f3d\u00e1si helyzeteket, amelyek hat\u00e1ssal lehetnek a meghat\u00e9rozott KPI-kre. Az LBM \u00e1thelyezi az UE-ket a torl\u00f3d\u00e1sos cell\u00e1b\u00f3l m\u00e1s kev\u00e9sb\u00e9 torl\u00f3d\u00f3 cell\u00e1kba, mik\u00f6zben a szektor adat sebess\u00e9ge nem cs\u00f6kken. Az LBM-nek k\u00f6sz\u00f6nhet\u0151en a szolg\u00e1ltat\u00f3k a dinamikus terhel\u00e9st k\u00f6lts\u00e9ges emberi beavatkoz\u00e1s n\u00e9lk\u00fcl tudj\u00e1k kezelni.<\/li>\n\n\n\n<li><strong>QoS<\/strong>&#8211;<strong>based Handover (HO)<\/strong> param\u00e9ter optimaliz\u00e1l\u00e1s \u00e9rt\u00e9keli a QoS-v\u00e1ltoz\u00e1sokat, amelyeket a mobilok cell\u00e1k k\u00f6z\u00f6tti mozg\u00e1sa okoz. Ez alapj\u00e1n optimaliz\u00e1lja a b\u00e1zis\u00e1llom\u00e1sok handover param\u00e9tereit.<\/li>\n\n\n\n<li><strong>Network Traffic Prediction (NTP)<\/strong> adapt\u00edv eszk\u00f6z\u00f6ket k\u00edn\u00e1l a h\u00e1l\u00f3zati forgalom el\u0151rejelz\u00e9s\u00e9re. Ezeknek az el\u0151rejelz\u00e9seknek a h\u00e1l\u00f3zati control plane-ba t\u00f6rt\u00e9n\u0151 integr\u00e1l\u00e1sa proakt\u00edvabb\u00e1 \u00e9s rugalmasabb\u00e1 teszi a h\u00e1l\u00f3zatokat.<\/li>\n\n\n\n<li><strong>Quality of Service (QoS) Prediction <\/strong>el\u0151rejelz\u00e9se a KPI-k el\u0151rejelz\u00e9s\u00e9vel \u00e9s a QoS \u00e9rt\u00e9kek biztos\u00edt\u00e1s\u00e1val jav\u00edtja a h\u00e1l\u00f3zatot. Ezek az el\u0151rejelz\u00e9sek jav\u00edtj\u00e1k a h\u00e1l\u00f3zati teljes\u00edtm\u00e9nyt azzal, hogy lehet\u0151v\u00e9 teszik a proakt\u00edv er\u0151forr\u00e1s-allok\u00e1ci\u00f3t \u00e9s a dinamikus network slicing-ot.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Ezekr\u0151l az applik\u00e1ci\u00f3kr\u00f3l r\u00e9szletes leir\u00e1s lesz a k\u00f6vetkez\u0151 ir\u00e1sokban.<\/p>","protected":false},"excerpt":{"rendered":"<p>Az Open API-k el\u0151segitik a k\u00fcl\u00f6nb\u00f6z\u0151 xApp \u00e9s rApp alkalmaz\u00e1sok Open RAN RIC platformba t\u00f6rt\u00e9n\u0151 integr\u00e1l\u00e1s\u00e1t. Ezek az alkalmaz\u00e1sok t\u00e1mogatj\u00e1k a mobil h\u00e1l\u00f3zat \u00fczemeltet\u0151ket, hogy t\u00f6bb szolg\u00e1ltat\u00e1si opci\u00f3t \u00e9s felhaszn\u00e1l\u00e1si lehet\u00f3s\u00e9get alkalmazzanak, bele\u00e9rtve a hibaelh\u00e1r\u00edt\u00e1shoz \u00e9s optimaliz\u00e1l\u00e1shoz sz\u00fcks\u00e9ges \u00e1tfog\u00f3 h\u00e1l\u00f3zatelemz\u00e9si megold\u00e1sokat. M\u00e1r teszteltek &nbsp;\u00e9s \u00e9l\u0151ben is bemutattak t\u00f6bb Open API fejleszt\u0151k \u00e9s m\u00e1s k\u00fcls\u0151 partnerek &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.xadv.eu\/hu\/2024\/03\/26\/ai-es-ml-alapu-open-ran-ric-alkalmazasok\/\"> <span class=\"screen-reader-text\">AI \u00e9s ML Alap\u00fa Open RAN RIC Alkalmaz\u00e1sok<\/span> Read More &raquo;<\/a><\/p>","protected":false},"author":1,"featured_media":2265,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[20],"tags":[],"class_list":["post-2263","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-open-ran"],"_links":{"self":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/comments?post=2263"}],"version-history":[{"count":2,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2263\/revisions"}],"predecessor-version":[{"id":2268,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2263\/revisions\/2268"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/media\/2265"}],"wp:attachment":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/media?parent=2263"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/categories?post=2263"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/tags?post=2263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}