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

Selective transparency in open-source AI is creating a false sense of openness. Many companies, like Meta, release only partial model details while branding their AI as open-source. This article dives into the risks of such practices, including erosion of trust, ethical lapses, and hindered innovation. Examples like LAION 5B and Metaโ€™s Llama 3 show why true openness โ€” including training data and configuration โ€” is essential for responsible, collaborative AI development.
5G and AI are transforming industries, but this convergence also brings complex security challenges. This article explores how Secure Access Service Edge (SASE), zero trust models, and solutions like Prisma SASE 5G are safeguarding enterprise networks. With real-world examples from telecom and manufacturing, learn how to secure 5G infrastructure for long-term digital success.
Connectivity convergence is redefining the Internet of Things by integrating legacy systems, cellular, Wi-Fi, LoRaWAN, BLE, and satellite networks. From agriculture to logistics, IoT ecosystems are evolving to prioritize seamless communication, modular hardware, and intelligent data handling with edge AI. This article explores how convergence is shifting the focus from hype to practical, scalable deploymentโ€”unlocking the true potential of IoT everywhere.
This articles explores how AI, quantum computing, and next-gen connectivity are shaping the future of innovation. From ethical AI and quantum-safe cryptography to 6G-enabled access to education and healthcare, these converging technologies are redefining whatโ€™s possible across industries. The key: inclusive, sustainable, and collaborative development.
With AI shifting from the cloud to the device, on-device AI is transforming privacy, speed, and user experience. Experts from Honor, Broadcom, and Orange explore the challenges and innovations shaping this future, from AI chips to offline capabilities and ethical implications. Is it time to go all-in?

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

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

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top