{"id":2872,"date":"2024-05-09T17:51:38","date_gmt":"2024-05-09T17:51:38","guid":{"rendered":"https:\/\/www.xadv.eu\/?p=2872"},"modified":"2024-05-15T11:51:11","modified_gmt":"2024-05-15T11:51:11","slug":"advanced-massive-mimo-algoritmusok-az-5g-halozatokban","status":"publish","type":"post","link":"https:\/\/www.xadv.eu\/hu\/2024\/05\/09\/advanced-massive-mimo-algoritmusok-az-5g-halozatokban\/","title":{"rendered":"Advanced massive MIMO Algoritmusok az 5G H\u00e1l\u00f3zatokban"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A massive MIMO antennarendszerek beamforming technol\u00f3gia alkalmaz\u00e1s\u00e1val n\u00f6velhetik minda az adat\u00e1tviteli sebess\u00e9get mind a h\u00e1l\u00f3zati kapacit\u00e1st. Ezenk\u00edv\u00fcl a h\u00e1l\u00f3zati lefedetts\u00e9get is jav\u00edthatj\u00e1k a cella sz\u00e9l\u00e9n is. A massz\u00edv MIMO az 5G h\u00e1l\u00f3zatok kulcsfontoss\u00e1g\u00fa eleme a h\u00e1l\u00f3zati performance \u00e9s lefedetts\u00e9g biztos\u00edt\u00e1sa \u00e9rdek\u00e9ben. Ez\u00e9rt a h\u00e1l\u00f3zati eszk\u00f6z gy\u00e1rt\u00f3k jelent\u0151s er\u0151forr\u00e1sokat ir\u00e1ny\u00edtanak a massive MIMO antennarendszerek fejleszt\u00e9s\u00e9be. Ezek a fejleszt\u00e9sek mind a hardver mind a szoftverek ter\u00e9n jelent\u0151s v\u00e1ltoz\u00e1sokat ig\u00e9rnek. A hardverfriss\u00edt\u00e9sekhez k\u00e9pest azonban a massive MIMO algoritmusokkal kapcsolatos innov\u00e1ci\u00f3k az \u00e9rdekesebbek a szolg\u00e1ltat\u00f3k sz\u00e1m\u00e1ra hiszen ezek upgradel\u00e9se kevesebb anyagi \u00e9s egy\u00e9bb er\u0151forr\u00e1st ig\u00e9nyelnek a szolg\u00e1ltat\u00f3k r\u00e9sz\u00e9r\u0151l. M\u00e1rpedig az 5G \u00e9s az advanced 5G (5.5G) folyamatos h\u00e1l\u00f3zati fejleszt\u00e9seket ig\u00e9nyel.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Adaptive High Resolution (AHR) Algoritmus<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">A massive MIMO rendszereket az antenna elemeken t\u00fal, \u00f6sszetett algoritmusok kombin\u00e1ci\u00f3ja alkotja. Ezek az \u00f6sszetett algoritmusok \u00e1llnak a massive MIMO rendszer tervez\u00e9s \u00e9s optimaliz\u00e1l\u00e1s k\u00f6z\u00e9ppontj\u00e1ban. A massive MIMO rendszer t\u00f6bb olyan l\u00e9nyeges algoritmust alkalmaz, mint p\u00e9ld\u00e1ul:<\/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>Channel estimation<\/strong>: a massive MIMO rendszer beamforming, modul\u00e1ci\u00f3 \u00e9s k\u00f3dol\u00e1s funkci\u00f3i a csatornaparam\u00e9terek ismeret\u00e9n alapulnak. A radio b\u00e1zis\u00e1llom\u00e1s az uplinken visszacsatolt channel inform\u00e1ci\u00f3k alapj\u00e1n becs\u00fcli meg radio csatorna jellemz\u0151it \u00e9s \u00e1ll\u00edta be a megfelel\u0151 a param\u00e9tereket. <\/li>\n\n\n\n<li><strong>Beamforming<\/strong>: a channel estimation eredm\u00e9nye alapj\u00e1n a b\u00e1zis\u00e1llom\u00e1s meghat\u00e1rozza a radio beam-ek param\u00e9tereit, pl. a beam-ek v\u00edzszintes \u00e9s f\u00fcgg\u0151leges ir\u00e1nya \u00e9s sz\u00e9less\u00e9ge.<\/li>\n\n\n\n<li><strong>Adaptive modulation and coding:<\/strong> a b\u00e1zis\u00e1llom\u00e1s a r\u00e1di\u00f3kapcsolat pillanatnyi min\u0151s\u00e9ge szerint d\u00f6nt a modul\u00e1ci\u00f3s scheme-r\u0151l \u00e9s coding rate-r\u0151l a r\u00e1di\u00f3\u00e1tvitel hat\u00e9konys\u00e1g\u00e1nak jav\u00edt\u00e1sa \u00e9rdek\u00e9ben.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Az Adaptive High Resolution (AHR) algoritmusok mindh\u00e1rom ter\u00fcleten jav\u00edtj\u00e1k a massive MIMO performance-\u00e1t. Az AHR a nagy pontoss\u00e1g\u00fa channel estimation \u00e1ltal jav\u00edthatja a beamforming pontoss\u00e1g\u00e1t \u00e9s cs\u00f6kkentheti a h\u00e1l\u00f3zat interferenci\u00e1j\u00e1t. Az olyan algoritmusok mint az adaptive modulation scheme \u00e9s UE param\u00e9terek alklamaz\u00e1sa nagyban jav\u00edtj\u00e1k a felhaszn\u00e1l\u00f3i \u00e9lm\u00e9nyt . A high resolution RF beam \u00e9s a multi-user pairing fuknci\u00f3k jav\u00edt\u00e1sa n\u00f6veli a h\u00e1l\u00f3zati kapacit\u00e1st. Az algoritmusok ak\u00e1r 20-30%-kal is jav\u00edthatj\u00e1k az \u00e1tlagos felhaszn\u00e1l\u00f3i adatsebess\u00e9get \u00e9s a cella kapacit\u00e1st. Az AHR algoritmusok viszonylag egyszer\u0171en, hardverupgrade n\u00e9lk\u00fcl telep\u00edthet\u0151k.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Signal Direct Injection Feeding (SDIF)<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">A k\u00f6zvetlen jelbefecskendez\u00e9ses t\u00e1pl\u00e1l\u00e1s (SDIF) egy olyan \u00faj technol\u00f3gia, ami cs\u00f6kkenti az antenna k\u00e1bel okozta vesztes\u00e9get. A Meta LEns technol\u00f3gia koncentr\u00e1lja a RF Beam-eket az antenn\u00e1k nagyobb r\u00e1di\u00f3frekvenci\u00e1s hat\u00e9konys\u00e1ga \u00e9rdek\u00e9ben, ami jav\u00edtja a jeltov\u00e1bb\u00edt\u00e1si hat\u00e9konys\u00e1got \u00e9s energiahat\u00e9konys\u00e1got.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Egy antenn\u00e1hoz ak\u00e1r t\u00f6bb m\u00e9ter k\u00e1belre is sz\u00fcks\u00e9g lehet, ami ak\u00e1r 1 \u2013 1,5dB jelvesztes\u00e9get is okozhat. A k\u00f6zvetlen jelbefecskendez\u00e9ses (SDIF) technol\u00f3gia nem haszn\u00e1l k\u00e1belez\u00e9st, \u00edgy a k\u00e1bel okozta jelvesztes\u00e9g cs\u00f6kkenthet\u0151. Az energiahat\u00e9konys\u00e1g ez\u00e1ltal ak\u00e1r 15 sz\u00e1zal\u00e9kkal is jav\u00edthat\u00f3.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A Meta Lens koncentr\u00e1lja a RF Beam energi\u00e1t az antenn\u00e1k nagyobb jeltov\u00e1bb\u00edt\u00e1si hat\u00e9konys\u00e1ga \u00e9rdek\u00e9ben. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ezek a technol\u00f3gi\u00e1k egy\u00fcttesen ak\u00e1r 20-25 sz\u00e1zal\u00e9kkal is jav\u00edthatj\u00e1k az energiahat\u00e9konys\u00e1got.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>MetaAAU<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Az \u00fajgener\u00e1ci\u00f3s MetaAAU egy TDD Massive MIMO innov\u00e1ci\u00f3 amely \u00faj hardver \u00e9s szoftver megold\u00e1sokat alkalmaz.<br>A hardver oldalr\u00f3l az extremely large antenna array (ELAA) megn\u00f6veli az AAU-ban alkalmazott antennaelemek sz\u00e1m\u00e1t, \u00edgy m\u00e1r 384 antennaelemet alkalmaz, k\u00e9tszer annyit, mint a hagyom\u00e1nyos AAU (192). Az ELAA ultrak\u00f6nny\u0171 integr\u00e1lt antenna array-et a k\u00f6zvetlen jelbefecskendez\u00e9ssel (SDIF) kombin\u00e1lj\u00e1k a hat\u00e9konys\u00e1g tov\u00e1bbi jav\u00edt\u00e1sa \u00e9rdek\u00e9ben.<br>Szoftveres t\u00e9ren a MetaAAU az Adaptive High Resolution (AHR) Turbo algoritmust haszn\u00e1lja a prec\u00edzebb \u00e9s dinamikusabb beamforminghoz. Az AHR olyan funkci\u00f3kkal rendelkezik, amelyek nemcsak n\u00f6velik a sug\u00e1rzott RF energia hat\u00e9konys\u00e1got, hanem zajcs\u00f6kkent\u0151k is. Az AHR Turbo algoritmus lehet\u0151v\u00e9 teszi a MetaAAU sz\u00e1m\u00e1ra, hogy rendk\u00edv\u00fcl keskeny beam-eket hozzon l\u00e9tre a felhaszn\u00e1l\u00f3k ir\u00e1ny\u00e1ba. Az AHR jav\u00edtja az RF beam-ek dinamikus alkalmazkod\u00e1s\u00e1t a r\u00e1di\u00f3 csatorna min\u0151s\u00e9g\u00e9nek v\u00e1ltoz\u00e1saihoz.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MetaAAU El\u0151nyei a Hagyom\u00e1nyos AAU-hoz k\u00e9pest<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Energiahat\u00e9konys\u00e1g<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\">K\u00fcl\u00f6n\u00f6sen az 5G h\u00e1l\u00f3zatokra jellemz\u0151, hogy a massive MIMO antenna rendszerek jelentik az egyik legjelent\u00fcsebb energiafogyaszt\u00e1st. Az ELAA technol\u00f3gi\u00e1t a SDIF \u00e9s AHR-vel kombin\u00e1l\u00f3 MetaAAU jelent\u00f3s mrt\u00e9kben, ak\u00e1r 30%-kal is cs\u00f6kkentheti a h\u00e1l\u00f3zat energiafogyaszt\u00e1s\u00e1t egy hagyom\u00e1nyos AAU-hoz k\u00e9pest, ugyanazt a lefedetts\u00e9get biztos\u00edtva. A MetaAAU alacsonyabb \u00e1tviteli teljes\u00edtm\u00e9nnyel is lehet\u0151v\u00e9 teszi hasonl\u00f3 lefedetts\u00e9g el\u00e9r\u00e9s\u00e9t, ami ak\u00e1r 20-30%-kal is cs\u00f6kkentheti az energiafogyaszt\u00e1st a hagyom\u00e1nyos AAU-khoz k\u00e9pest.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Lefedetts\u00e9g<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Egy hagyom\u00e1nyos massz\u00edv MIMO AAU-val \u00f6sszehasonl\u00edtva a MetaAAU ak\u00e1r 3-6 dB-lel jav\u00edthatja a lefedetts\u00e9get.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Performance<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Egy hagyom\u00e1nyos massz\u00edv MIMO AAU-val \u00f6sszehasonl\u00edtva a MetaAAU \u00e1tlagosan ak\u00e1r 30%-kal, a cella sz\u00e9leken ak\u00e1r 15%-al is jav\u00edthatja az adatsebess\u00e9get.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>RF Teljes\u00edtm\u00e9ny<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Egy hagyom\u00e1nyos massz\u00edv MIMO AAU-val \u00f6sszehasonl\u00edtva a MetaAAU-val a sug\u00e1rzott RF teljes\u00edtm\u00e9ny fel\u00e9re cs\u00f6kkenthet\u0151 a lefedetts\u00e9g cs\u00f6kken\u00e9se n\u00e9lk\u00fcl. Ez\u00e1ltal a MetaAAU  ak\u00e1r 20-30%-os energiamegtakar\u00edt\u00e1st is el\u00e9rhet a hagyom\u00e1nyos massz\u00edv MIMO AAU-hoz k\u00e9pest.<\/p>","protected":false},"excerpt":{"rendered":"<p>A massive MIMO antennarendszerek beamforming technol\u00f3gia alkalmaz\u00e1s\u00e1val n\u00f6velhetik minda az adat\u00e1tviteli sebess\u00e9get mind a h\u00e1l\u00f3zati kapacit\u00e1st. Ezenk\u00edv\u00fcl a h\u00e1l\u00f3zati lefedetts\u00e9get is jav\u00edthatj\u00e1k a cella sz\u00e9l\u00e9n is. A massz\u00edv MIMO az 5G h\u00e1l\u00f3zatok kulcsfontoss\u00e1g\u00fa eleme a h\u00e1l\u00f3zati performance \u00e9s lefedetts\u00e9g biztos\u00edt\u00e1sa \u00e9rdek\u00e9ben. Ez\u00e9rt a h\u00e1l\u00f3zati eszk\u00f6z gy\u00e1rt\u00f3k jelent\u0151s er\u0151forr\u00e1sokat ir\u00e1ny\u00edtanak a massive MIMO antennarendszerek fejleszt\u00e9s\u00e9be. Ezek &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.xadv.eu\/hu\/2024\/05\/09\/advanced-massive-mimo-algoritmusok-az-5g-halozatokban\/\"> <span class=\"screen-reader-text\">Advanced massive MIMO Algoritmusok az 5G H\u00e1l\u00f3zatokban<\/span> Read More &raquo;<\/a><\/p>","protected":false},"author":1,"featured_media":2873,"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":"disabled","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":[21,22,92],"tags":[],"class_list":["post-2872","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-5g","category-cloud-ran","category-tco-strategies"],"_links":{"self":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2872","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=2872"}],"version-history":[{"count":3,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2872\/revisions"}],"predecessor-version":[{"id":3049,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/posts\/2872\/revisions\/3049"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/media\/2873"}],"wp:attachment":[{"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/media?parent=2872"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/categories?post=2872"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.xadv.eu\/hu\/wp-json\/wp\/v2\/tags?post=2872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}