{"version":"1.0","provider_name":"Enea","provider_url":"https:\/\/www.enea.com\/sv\/","author_name":"Santiago Bouzas","author_url":"https:\/\/www.enea.com\/sv\/insights\/author\/santi\/","title":"Why it is time to tackle RAN congestion with Machine Learning","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"raJEACoUnw\"><a href=\"https:\/\/www.enea.com\/sv\/insights\/why-it-is-time-to-tackle-ran-congestion-with-machine-learning\/\">Why it is time to tackle RAN congestion with Machine Learning<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.enea.com\/sv\/insights\/why-it-is-time-to-tackle-ran-congestion-with-machine-learning\/embed\/#?secret=raJEACoUnw\" width=\"600\" height=\"338\" title=\"\u201dWhy it is time to tackle RAN congestion with Machine Learning\u201d &ndash; Enea\" data-secret=\"raJEACoUnw\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.enea.com\/wp-content\/uploads\/2021\/12\/Picture-for-15.3.19-blog.jpg","thumbnail_width":1120,"thumbnail_height":562,"description":"Why it is time to tackle RAN congestion with Machine Learning MWC 2019 was peppered with Artificial Intelligence (AI) robots and references to Machine Learning (ML) across the various halls. For a show aimed at mobile operators, very few of those applications of AI and ML actually impact the network. The Radio Access Network (RAN), [&hellip;]"}