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Nokia expands network portfolio for premium performance in the AI-RAN era #MWC26
Globenewswire· 2026-03-01 13:00
Core Insights - Nokia has launched Doksuri Remote Radio Heads (Radios) as part of its AirScale portfolio, aimed at enhancing performance, sustainability, and automation in the AI-RAN era [1][7] - The Doksuri Radios are designed to improve energy efficiency, performance, and ease of installation, facilitating the transition to greener 5G networks [1][7] Product Advancements - Doksuri Radios utilize a next-generation System-on-Chip (SoC) that integrates advanced intelligence, making them a key component in Nokia's AI-RAN strategy [2][3] - The new radios offer up to 30% improvement in power efficiency, combining higher output power with lower energy consumption [8] - Doksuri Radios are up to 25% lighter, which reduces site footprint and simplifies deployments [8] - A unique mounting system allows for installation time reductions of up to 70%, enabling faster and more efficient deployments [8] AI-RAN Ecosystem - Doksuri Radios are positioned as essential enablers in the evolving AI-RAN ecosystem, ensuring compatibility with Open RAN front-haul standards [3] - The integration of AI-ready capabilities into the radio layer helps telecommunications providers meet increasing AI-driven traffic demands while lowering energy consumption and total cost of ownership [4] Marketplace and Automation - Nokia has introduced an rApp Marketplace for its Service Management and Orchestration (SMO) platform, facilitating the development and deployment of automation applications in a multivendor environment [6] - This marketplace aims to enhance network automation, performance, and efficiency, reinforcing Nokia's commitment to AI-driven RAN automation [6] Industry Impact - Nokia's advancements in connectivity are critical for the AI era, addressing the rising demands on network infrastructure performance [7] - The company will showcase its technologies at Mobile World Congress 2026, demonstrating how AI-RAN can optimize network operations and support new AI-driven applications [9]
Nokia expands network portfolio for premium performance in the AI-RAN era #MWC26
Globenewswire· 2026-03-01 13:00
Core Insights - Nokia has launched Doksuri Remote Radio Heads (Radios) as part of its AirScale portfolio, aimed at enhancing performance, sustainability, and automation in the AI-RAN era [1][7] - The Doksuri Radios are designed to improve energy efficiency, performance, and installation simplicity, facilitating the transition to greener 5G networks [1][7] Product Advancements - Doksuri Radios utilize a next-generation System-on-Chip (SoC) that integrates advanced intelligence, making them a key component in Nokia's AI-RAN strategy [2][3] - The new radios offer up to 30% improvement in power efficiency, combining higher output power with lower energy consumption [8] - Doksuri Radios are up to 25% lighter, which reduces site footprint and simplifies deployments [8] - A unique mounting system allows for installation time reductions of up to 70%, enabling faster and more efficient deployments [8] AI-RAN Ecosystem - Doksuri Radios are positioned as essential enablers in the evolving AI-RAN ecosystem, ensuring compatibility with Open RAN front-haul standards [3] - The integration of AI-ready capabilities into the radio layer helps telecommunications providers meet increasing AI-driven traffic demands while reducing energy consumption and total cost of ownership [4] Marketplace and Automation - Nokia has introduced an rApp Marketplace for its Service Management and Orchestration (SMO) platform, facilitating the development and deployment of automation applications in a multivendor environment [6] - This marketplace aims to enhance network automation, performance, and efficiency, reinforcing Nokia's commitment to AI-driven RAN automation [6] Industry Impact - Nokia's advancements in connectivity are critical for the AI era, addressing the rising demands on network infrastructure performance [7] - The company will showcase its technologies at Mobile World Congress 2026, demonstrating how AI-RAN can optimize network operations and support new AI-driven applications [9]