We will introduce the large-scale verification facilities that have supported the technology demonstration in the research and development of Access Network Service Systems Laboratories and the actual exhibition of the research results that have been put to practical use in a 90 minute tour twice a day. (Each show is a first-come, first-served ticket system with a capacity of 20 people.)
We will exhibit a submarine 4-core multi-core optical fiber cable technology developed to increase the capacity of submarine networks. This advancement in optical fiber cable technology will contribute toward realizing the large-capacity transmission infrastructure that IOWN APN aims for.
By taking advantage of the spatial multiplexing transmission offered by MCFs, an MCF with more cores connected and amplified at one time has lower installation costs and amplification power than conventional single-mode fiber.
In March 2026, we jointly announced with the National Institutes for Quantum Science and Technology (QST) the "World's First Realization of Fast Frequent, Real‑Time Communications for Fusion Plasma Prediction and Control". We will introduce details of this achievement, including a demonstration of Fast Frequent Real‑Time Communications.
We will present a jitter‑control technique that leverages optical‑wireless cooperative transmission to enable stable, high‑quality video delivery for remote drone operation. Through a collaborative field trial with NTT EAST and NTT e‑Drone Technology, we demonstrated that the proposed method compensates for packet‑interval variations in wireless links. By absorbing jitter before it impacts the video stream, the technique maintains consistent visual quality and ensures reliable remote drone operation.
Introduction to Cradio technologies, including the latest features and use cases.
As core technologies for the future, we will present:
(1) wireless environment visualization and analysis technology through interaction with a local LLM, and
(2) multi-radio coordination technology for maximizing wireless performance.
We will showcase the results of operational verification using actual equipment conducted as part of efforts toward the society-wide deployment of distributed MIMO technology. We will also introduce ongoing initiatives toward commercialization, including the development of distributed MIMO implementations for vRAN equipment that realizes base station functions as virtualization software running on general-purpose servers.
NTT and JAXA are currently conducting demonstration experiments on low-earth orbit satellite MIMO technology and satellite IoT technology through the experimental satellite project RAISE-4 (RApid Innovative payload demonstration SatellitE-4). As well as providing an overview of the technology and demonstration experiments, this exhibition will introduce the latest information on the capacity enhancement effect of low-earth orbit satellite feeder links obtained through the demonstration experiments.
Blockchain-based wireless access sharing enables wireless access resources owned by many individuals to be securely shared by establishing wireless communication contracts via a blockchain each time a user connects.
In addition, by controlling the optimal connection destination on the basis information recorded on the blockchain ledger, it improves the overall communication quality of wireless access.
Through this approach, we aim to reduce wasteful wireless infrastructure investment across society.
Although high-frequency band wireless communications can be expected to offer large capacity, they are susceptible to communication interruptions due to distance attenuation and shielding. Therefore, we have been working on a terminal-driven dynamic site diversity control technology in which terminals are equipped with multiple antennas to avoid communication interruptions. At this exhibition, we will showcase a prototype device that has an increased number of antennas to enhance its practicality and demonstrate its effectiveness.
This exhibit will showcase our efforts to enhance network operation and maintenance by integrating the NW information infrastructure NOIM and generative AI. NOIM centrally manages network configurations using a general-purpose data model, providing a platform where AI can correctly understand configuration, connections, and dependencies. It minimizes the need for custom AI tuning, enabling AI agents to be rapidly deployed and achieving high-precision inference and response reproducibility using a local LLM even in closed environments handling sensitive information. This technology accelerates the adoption of AI in network operations.
In this exhibition, we will present a technology designed to enhance the stability of wireless communication quality at event venues by forecasting visitors' anticipated network usage and accordingly optimizing wireless network control.
This technology integrates external data sources, including meteorological conditions and ticket sales information, with real-time wireless network metrics to highly accurately predict network demand. On the basis of these forecasts, the system proactively adjusts wireless network parameters to ensure that capacity and resources are appropriately allocated in advance.
In the maintenance of bridge-mounted conduits, the declining labor force is making it increasingly difficult to sustain conventional visual inspections that rely heavily on manual work. Visual inspections require on-site assessments, and the evaluation results may vary depending on the inspector.
To address this, establishing an inspection technology based on vibration characteristics-quantitative physical parameters-can eliminate discrepancies in judgment and reduce the risk of overlooking abnormalities. In addition, by measuring vibrations remotely using optical fiber sensing, on-site workload can be further reduced.
In the future, we aim to expand this technology's scope of application and enable it to be more broadly used in bridge structures.
This exhibition will introduce our current initiatives and the mock bridge model used for verification experiments.
As metal-based services are being discontinued, the costs of maintaining and removing overhead metallic cables urgently need to be reduced. We aim to reduce the workload required for removing cables by safely cutting and detaching them from hardware without loosening the tension or needing a worker to climb a pole.
Optical fiber environmental monitoring utilizes NTT's existing fiber networks and is intended to capture new business in the field of social infrastructure monitoring. We will exhibit use cases (detection of underground cavities, detection of abnormal facilities, screening inspection of undersea cables, etc.) that serve as a starting point for expanding the use of fiber sensing with the aim of promoting the early introduction of optical fiber environmental monitoring.
As data centers expand in size and number, electricity demand is expected to increase, leading to capacity shortages in transmission and distribution facilities. To address this, we have established a design methodology for accommodating power cables by utilizing existing telecommunications infrastructure. This includes evaluating thermal effects on telecommunications conduits (PVC) and assessing structural strength when implementing insulation measures within telecommunications manholes. Going forward, we aim to expand the method's scope of application by evaluating corrosion progression in telecommunications conduits (metallic) in areas prone to salt-damage. This exhibit will introduce our initiatives related to design technologies for power cable accommodation.
We have developed a technology that precisely identifies the locations of infrastructure assets captured in dashcam images-significantly reducing the need for on-site inspections and accelerating the shift from paper-based records to highly accurate digital ledgers. Conventional GPS data can have errors of up to 10 meters, making it difficult to reliably link dashcam images with infrastructure assets. Our technology overcomes this challenge by leveraging 3D data generated using 3D Gaussian Splatting (3DGS)*, enabling infrastructure assets-such as utility poles, road signs, street trees, and manhole covers- to be identified within 0.5-meter accuracy. This enables time-series inspection data to be continuously accumulated in a high-precision GIS environment. * Powered by Inria & Max Planck Institute