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

A global IBM study reveals 81% of CMOs see AI as critical for growth, yet 54% underestimated the operational complexity. Only 22% have set clear AI usage guidelines, despite 64% now being responsible for profitability. Siloed systems, talent gaps, and lack of collaboration hinder translating AI strategies into results, highlighting a major execution gap as marketing leaders adapt to increased accountability for profit and revenue growth.
Elon Musk’s generative AI firm, xAI, is targeting $4.3 billion in new equity funding, following its previous $6 billion raise and a $5 billion debt effort. The capital will support high-cost AI models like Grok and Aurora, expand massive GPU-powered data centers, and drive xAI’s ambition to compete with leaders like OpenAI and DeepMind. Investors remain interested despite concerns over spending, betting on Musk’s strategy to blend social media and AI under one ecosystem.
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.
ZTE and e& UAE have completed a successful Private 5G Network trial, showcasing high uplink speeds, multi-band adaptability, and ZTE’s NodeEngine Edge Computing platform. This trial enables rapid deployment, stronger enterprise connectivity, and practical use cases for smart industries, aligning with the UAE’s goal of becoming a digital innovation leader.
Spark and Air New Zealand have activated New Zealand’s first Private 5G Network for business operations at Auckland Airport’s logistics warehouse. Using Ericsson’s enterprise-grade 5G, the network powers a drone-robot system that automates stocktakes, keeps staff safer by removing the need for high-shelf manual scanning, and provides real-time inventory data to boost efficiency. This smart warehousing solution sets a new benchmark for airport logistics and supply chain innovation in New Zealand.
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.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Scroll to Top