NTT DOCOMO successful outdoor trial of AI-driven wireless interface with 3 partners

NTT DOCOMO  has successfully executed the world’s premier outdoor field trial of real-time transceiver systems leveraging artificial intelligence (AI)-driven wireless technology, a critical advancement for sixth-generation (6G) mobile communications (AKA IMT 2030).

Conducted in collaboration with parent company NTT, Inc. (NTT), Nokia Bell Labs, and SK Telecom Co., Ltd, the field trials were held across three sites in Yokosuka City, Kanagawa Prefecture. The results validated that the application of AI optimized system throughput (transmission speed), achieving up to a 100% improvement over conventional, non-AI methods under identical environmental conditions, effectively doubling communication speeds.

Wireless communication quality can be compromised by fluctuations in radio propagation environments, leading to unstable connections. To mitigate this challenge, the partners developed “AI-AI technology,” which applies AI to both the transmitting and receiving ends of the wireless interface. This system dynamically optimizes modulation and demodulation schemes based on prevailing radio conditions, facilitating stable communication across diverse use cases. The efficacy of this technology had previously been confirmed in indoor environments.

The recent field trials aimed to verify the technology’s stable performance in complex outdoor settings, where radio conditions are subject to greater variability from factors such as temperature, weather, and physical obstructions.

Source: Pitinan Piyavatin/Alamy Stock Photo

This innovative AI wireless technology was evaluated across three distinct outdoor courses with varying propagation conditions, including the presence of obstacles and terminal mobility:

  • Course 1: A public road featuring gentle curves, with a test vehicle traveling up to 40 km/h.
  • Course 2: An environment with partial signal obstructions.
  • Course 3: A road with minimal obstructions, with a test vehicle traveling up to 60 km/h.

In all test scenarios, the technology demonstrated its ability to compensate for signal degradation, confirming enhanced communication speeds. Specifically, in the highly complex propagation conditions of Course 1, the AI-AI technology yielded an average throughput improvement of 18% and a maximum increase of 100% compared to traditional methods.

These findings enable higher-speed data transmission for users and allow network operators to enhance spectrum efficiency and deliver superior quality of service (QoS). The successful outdoor validation marks a significant milestone toward the practical implementation of 6G systems, which promise a combination of high wireless transmission efficiency and reduced power consumption.  NTT DOCOMO remains committed to refining this technology under a wide range of conditions and accelerating R&D efforts toward 6G realization, while simultaneously collaborating with global partners on 6G standardization (in 3GPP and ITU-R WP5D) and deployment.

This new technology will be featured at the NTT R&D FORUM 2025 hosted by NTT, scheduled from November 19–21 and November 25–26, 2025.

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These three AI-wireless field trials represent the latest joint effort stemming from the collaborative AI research partnership of DOCOMO, parent NTT, Nokia Bell Labs, and SK Telecom Co, which was established at Mobile World Congress (MWC) in February 2024.

NTT Docomo has forged additional 6G alliances with a range of partners, including Ericsson, domestic Japanese suppliers Fujitsu and NEC, and testing specialists Keysight Technologies and Rohde & Schwarz.

This collaboration highlights the extensive international cooperation in 6G development involving Japanese, Korean, and Western corporations. This contrasts sharply with 6G development initiatives in the People’s Republic of China, which remain predominantly insular and confined almost exclusively to domestic Chinese entities.

This year has seen an increase in partnerships among Korean and Japanese operators. Earlier this month, KDDI‘s research partnership with Nokia Bell Labs was announced, focusing on achieving 6G energy efficiency and enhanced network resilience. Samsung and SoftBank entered into a memorandum of understanding (MoU) last month to co-develop prospective next-generation technologies, encompassing 6G, AI-driven Radio Access Networks (AI RAN), and Large Telecom Models (LTMs).

In a separate MoU signed in March, KT‘s and Samsung’s collaboration was formalized to jointly advance 6G antenna technology. Additionally, KT has maintained a separate research engagement with Nokia centered on semantic communications research.

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About NTT DOCOMO:

NTT DOCOMO, Japan’s leading mobile operator with over 91 million subscribers, is one of the global leaders in 3G, 4G and 5G mobile network technologies.
Under the slogan “Bridging Worlds for Wonder & Happiness,” DOCOMO is actively collaborating with global partners to expand its business scope from mobile services to comprehensive solutions, aiming to deliver unsurpassed value and drive innovation in technology and communications, ultimately to support positive change and advancement in global society.

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References:

https://www.docomo.ne.jp/english/info/media_center/pr/2025/1117_00.html

https://www.docomo.ne.jp/english/

https://www.lightreading.com/6g/ntt-docomo-doubles-6g-throughput-in-ai-trials

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One thought on “NTT DOCOMO successful outdoor trial of AI-driven wireless interface with 3 partners

  1. AI is a foundational and integral component of IMT-2030 (also known as “6G”), moving from an “add-on” feature in 5G to being native to the system’s design and operation. The role of AI can be broken down into three key aspects: optimizing the network itself, enabling new AI-driven services for users, and being an integrated capability alongside sensing and computing.

    AI for Network (AI4NET)
    AI is crucial for the automated and intelligent management of the complex IMT-2030 network infrastructure.
    Network Optimization & Efficiency: AI/ML algorithms will optimize network performance in real-time by handling vast amounts of data, predicting network congestion, managing traffic, and ensuring efficient resource allocation. This leads to improved spectral and energy efficiency.

    Automated Operations: The network is expected to have self-monitoring, self-organization, self-optimization, and self-healing capabilities, reducing the need for human intervention in routine tasks.

    Enhanced Reliability and Latency: AI helps guarantee Quality of Service (QoS) and enables hyper-reliable, low-latency communications required for critical applications like remote surgery or industrial automation.

    Security: AI will be integrated into all layers of 6G to provide real-time threat detection and automated responses to cyberattacks, enhancing overall security and resilience.

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