Skip to main content

AT&T and Ericsson demonstrate AI-native Cloud RAN

Source Decision Insights Record Published March 3, 2026 Companies 4
Human View Machine View

4 companies named across 10 categories, one of 27 articles referencing AT&T. Previous coverage: AT&T launches amiGO Jr. Phone for children (Feb 2026).

Companies mentioned

Best suited for

Seniority
Architect
Job function
Network / Network Architect
Persona
Data / AI Platform Architect
Buyer role
Architect / Technical Evaluator
Decision stage
Which to buy
Adoption curve
Early Adopters
Industry
Telecommunication Services / Wireless Telecommunication Services / Mobile Network Operators

Our classification, not the publisher's statement. Best suited for, not only for.

AT&T and Ericsson completed a Cloud Radio Access Network (RAN) test that demonstrated Ericsson’s AI-native Link Adaptation on a Cloud RAN stack powered by Intel Xeon 6 SoC, and the trial showed improvements in spectral efficiency and network responsiveness.

The test RAN on AT&T’s licensed frequency bands and the companies described that it provided a technical template for scaling AI-native RAN functions into AT&T’s cloud infrastructure and for operating Machine Learning (ML) natively within radio environments. Dell’Oro Group estimated Cloud RAN accounted for approximately 5% to 10% of total global RAN market revenues in 2025.

AI-native Link Adaptation used a learning algorithm that continuously assessed channel state and interference to determine the modulation and coding scheme for each transmission interval. The model generated real-time predictions of link quality and adjusted data rates to increase throughput and spectral efficiency compared with conventional rule-based link adaptation.

The proof-of-concept RAN Ericsson’s disaggregated, containerized RAN software within AT&T’s target Cloud RAN configuration on commercial off-the-shelf hardware and Intel Xeon 6 SoC. The trial progressed from basic call functionality to validation of feature-rich network behavior; early results recorded throughput gains up to 20% and measurable improvements in spectral efficiency. Ericsson and Intel benchmarked Artificial Intelligence (AI) inference models and demonstrated performance scalability and energy efficiency on general-purpose compute nodes.

Rob Soni, Vice President, RAN Technology at AT&T, said: “AT&T is leading the charge toward an open, intelligent, and scalable network future by advancing Open RAN and Cloud RAN with AI-native capabilities at their core. This demo highlights how AI capabilities, powered by our next-generation Cloud RAN platform, can be deployed seamlessly to drive innovation and deliver superior customer experiences.”

The companies described plans to scale AI-native RAN functions into AT&T’s cloud infrastructure and to explore ML operating natively within radio environments for future 5G and 6G network evolution.

Press release, originally published by Alan Weissberger at techblog.comsoc.org.

Mentions

Structured data (JSON-LD)

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

[
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#website",
    "@type": "WebSite",
    "name": "Decision Insights",
    "potentialAction": {
      "@type": "SearchAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://decisioninsights.ai/search/?q={search_term_string}&submit=1"
      }
    },
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    },
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/#organization",
    "@type": "Organization",
    "contactPoint": {
      "@type": "ContactPoint",
      "contactType": "customer support",
      "email": "[email protected]"
    },
    "description": "Decision Insights is a Registry of technology companies, open source projects, and industry terms, built for people and for AI agents that need sourced, structured information.",
    "logo": {
      "@type": "ImageObject",
      "url": "https://wiretap-cdn-assets.nyc3.cdn.digitaloceanspaces.com/decision-insights/[email protected]"
    },
    "name": "Decision Insights",
    "parentOrganization": {
      "@type": "Organization",
      "name": "Wiretap Labs",
      "sameAs": [
        "https://www.linkedin.com/company/wiretap-labs",
        "https://www.crunchbase.com/organization/wiretap-labs"
      ],
      "url": "https://wiretaplabs.com"
    },
    "publishingPrinciples": "https://decisioninsights.ai/standards/",
    "sameAs": [
      "https://www.linkedin.com/company/decisioninsights"
    ],
    "url": "https://decisioninsights.ai"
  },
  {
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai",
        "name": "Decision Insights",
        "position": 1
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/records/",
        "name": "Records",
        "position": 2
      },
      {
        "@type": "ListItem",
        "item": "https://decisioninsights.ai/att-and-ericsson-demonstrate-ai-native-cloud-ran/",
        "name": "AT&T and Ericsson demonstrate AI-native Cloud RAN",
        "position": 3
      }
    ]
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/att-and-ericsson-demonstrate-ai-native-cloud-ran/#blogposting",
    "@type": "NewsArticle",
    "about": {
      "@id": "https://decisioninsights.ai/registry/att/#organization",
      "@type": "Organization",
      "mainEntityOfPage": "https://decisioninsights.ai/registry/att/",
      "name": "AT&T"
    },
    "articleSection": [
      "Artificial Intelligence",
      "AI infrastructure",
      "Data Center",
      "Network Operator"
    ],
    "audience": [
      {
        "@type": "Audience",
        "additionalType": "Seniority",
        "audienceType": "Architect"
      },
      {
        "@type": "Audience",
        "additionalType": "Job function",
        "audienceType": "Network / Network Architect"
      },
      {
        "@type": "Audience",
        "additionalType": "Persona",
        "audienceType": "Data / AI Platform Architect"
      },
      {
        "@type": "Audience",
        "additionalType": "Buyer role",
        "audienceType": "Architect / Technical Evaluator"
      },
      {
        "@type": "Audience",
        "additionalType": "Adoption curve",
        "audienceType": "Early Adopters"
      },
      {
        "@type": "Audience",
        "additionalType": "Industry",
        "audienceType": "Telecommunication Services / Wireless Telecommunication Services / Mobile Network Operators"
      }
    ],
    "author": {
      "@id": "https://decisioninsights.ai/author/decision-insights-signals/#person",
      "@type": "Person",
      "name": "Decision Insights Record",
      "url": "https://decisioninsights.ai/author/decision-insights-signals/"
    },
    "dateModified": "2026-08-23T14:13:14-06:00",
    "datePublished": "2026-03-03T17:14:36-07:00",
    "description": "AT&T completed a Cloud RAN test with Ericsson using AI-native Link Adaptation on Intel Xeon 6 SoC, reporting throughput and efficiency gains.",
    "headline": "AT&T and Ericsson demonstrate AI-native Cloud RAN",
    "isBasedOn": {
      "@type": "CreativeWork",
      "author": {
        "@type": "Person",
        "name": "Alan Weissberger"
      },
      "sourceOrganization": {
        "@id": "https://decisioninsights.ai/registry/ieee/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/ieee/",
        "name": "IEEE"
      },
      "url": "https://techblog.comsoc.org/2026/03/03/att-and-ericsson-boost-cloud-ran-performance-with-ai-native-software-running-on-intel-xeon-6-soc/"
    },
    "keywords": [
      "AI Native",
      "Cloud",
      "Cloud Infrastructure",
      "Machine Learning",
      "Radio Access Network",
      "Throughput"
    ],
    "mainEntityOfPage": {
      "@id": "https://decisioninsights.ai/att-and-ericsson-demonstrate-ai-native-cloud-ran/",
      "@type": "WebPage",
      "sdDatePublished": "2026-08-23",
      "sdPublisher": {
        "@id": "https://decisioninsights.ai/#organization"
      }
    },
    "mentions": [
      {
        "@id": "https://decisioninsights.ai/registry/att/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/att/",
        "name": "AT&T"
      },
      {
        "@id": "https://decisioninsights.ai/registry/dell-oro-group/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/dell-oro-group/",
        "name": "Dell'Oro Group"
      },
      {
        "@id": "https://decisioninsights.ai/registry/ericsson/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/ericsson/",
        "name": "Ericsson"
      },
      {
        "@id": "https://decisioninsights.ai/registry/intel/#organization",
        "@type": "Organization",
        "mainEntityOfPage": "https://decisioninsights.ai/registry/intel/",
        "name": "Intel Corporation"
      }
    ],
    "publisher": {
      "@id": "https://decisioninsights.ai/#organization"
    }
  },
  {
    "@context": "https://schema.org",
    "@id": "https://decisioninsights.ai/author/decision-insights-signals/#person",
    "@type": "Person",
    "description": "Press releases and independent analyst research, structured into concise summaries for research and monitoring. Produced under our Standards & Methodology.",
    "name": "Decision Insights Record",
    "sameAs": [
      "https://www.linkedin.com/showcase/decisioninsights/"
    ],
    "url": "https://decisioninsights.ai/author/decision-insights-signals/"
  }
]

Is this your company? Get structured data for your own pages