SoftBank & Fujitsu to Launch AI-Driven RAN by 2026

SoftBank and Fujitsu are joining forces to advance the commercialization of AI-RAN, integrating AI with Radio Access Networks to enhance communication performance and efficiency. Targeted for deployment by 2026, this collaboration focuses on R&D, vRAN software development, and AI-driven optimization of mobile networks, with trials underway and a dedicated verification lab set to open in Dallas.
Fujitsu and AMD Partner for Sustainable AI Computing
Image Credit: Fujitsu and AMD

Strengthening Partnership for AI-Driven RAN Innovation

SoftBank Corp. and Fujitsu Limited have signed a memorandum of understanding to deepen their collaboration in the development and commercialization of AI-RAN, an innovative architecture integrating artificial intelligence (AI) with Radio Access Networks (RAN). Targeted for deployment starting in 2026, this partnership focuses on maximizing RAN performance through AI-driven solutions.


As part of this agreement, SoftBank and Fujitsu will engage in joint research and development to create software solutions that optimize RAN functionality and boost communication quality using AI technologies. The two companies will also establish a dedicated verification lab at Fujitsu’s facility in Dallas, Texas, USA, to facilitate the testing and validation of AI-RAN components.

Progress in AI-RAN Proof-of-Concept Trials

SoftBank and Fujitsu have already begun collaborating on a proof-of-concept trial for AI-RAN, which commenced in October 2024. This outdoor trial, conducted by SoftBank, utilizes vRAN software and Radio Units supplied by Fujitsu. These units, equipped with Layer 1 software based on the NVIDIA AI Aerial platform and powered by the NVIDIA GH200 Grace Hopper Superchip, have demonstrated their ability to manage high-quality, simultaneous communications across up to 20 cells per server.

Initiatives to Fast-Track AI-RAN Commercialization

To accelerate the development and commercialization of AI-RAN, the partnership will undertake the following initiatives:

  1. Establishing a Verification Lab in Dallas, Texas
    The new lab, located at Fujitsu’s Dallas site, will be a center for validating the hardware, software, and applications comprising the AI-RAN architecture. This facility will also serve as a platform for fostering new business opportunities and advancing the global AI-RAN ecosystem by conducting technical verifications and promoting market adoption.
  2. Joint Research and Development of vRAN Software
    The collaboration will focus on developing AI-driven software solutions aimed at enhancing RAN performance. Drawing on insights gained from the ongoing outdoor proof-of-concept trials, the companies plan to apply AI capabilities to improve communication performance in practical settings, bringing AI-RAN closer to market realization.

Driving Innovations and Societal Impact

Through the optimization and enhancement of RAN features using AI, SoftBank and Fujitsu aim to significantly boost the efficiency of investments in mobile infrastructure. Their efforts are expected to unlock new services, improve user communication quality during periods of mobility and network congestion, and enable real-time data processing and analysis. These innovations have the potential to drive transformative changes across various sectors of society and industry.

For more information, view the original announcement here.


Recent Content

Looking to learn AI in 2025 without breaking the bank? This blog breaks down the best free AI courses and certifications from top platforms like Google, IBM, and Harvard. Whether you’re a beginner, teacher, or tech professional, you’ll find career-relevant learning paths, direct course links, and tips to get certified and start building AI projects today.
Explore the transformative potential of Open Radio Access Networks (O-RAN) as it integrates AI, enhances security, and fosters interoperability to reshape mobile network infrastructure. In this article, we explore the advancements and challenges of O-RAN, revealing how it sets the stage for future mobile communications with smarter, more secure, and highly adaptable network solutions. Dive into the strategic implications for the telecommunications industry and learn why O-RAN is critical for the next generation of digital connectivity.
Nvidia’s Open Power AI Consortium is pioneering the integration of AI in energy management, collaborating with industry giants to enhance grid efficiency and sustainability. This initiative not only caters to the rising demands of data centers but also promotes the use of renewable energy, illustrating a significant shift towards environmentally sustainable practices. Discover how this synergy between technology and energy sectors is setting new benchmarks in innovative and sustainable energy solutions.
SK Telecom’s AI assistant, adot, now features Google’s Gemini 2.0 Flash, unlocking real-time Google search, source verification, and support for 12 large language models. The integration boosts user trust, expands adoption from 3.2M to 8M users, and sets a new standard in AI transparency and multi-model flexibility for digital assistants in the telecom sector.
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.
Telecom providers have spent over $300 billion since 2018 on 5G, fiber, and cloud-based infrastructure—but returns are shrinking. The missing link? Network observability. Without real-time visibility, telecoms can’t optimize performance, preempt outages, or respond to security threats effectively. This article explores why observability must become a core priority for both operators and regulators, especially as networks grow more dynamic, virtualized, and AI-driven.

Download Magazine

With Subscription
Whitepaper
5G network rollouts are now sprouting around the globe as operators get to grips with the potential of new enterprise applications. Yet behind the scenes, several factors still could strongly impact just how transformative this technology will be in years to come. Ultimately, it will all boil down to one...
NetInsight Logo
Whitepaper
System integrators play a crucial role in the network ecosystem by bringing together various components and technologies from the diverse network ecosystem players to build, deploy, and operate comprehensive end-to-end solutions that meet the specific needs of their clients....
Tech Mahindra Logo

It seems we can't find what you're looking for.

Subscribe To Our Newsletter

Scroll to Top