Showing posts with label Company NTT. Show all posts
Showing posts with label Company NTT. Show all posts

Thursday, 25 June 2026

NTT's Research and Development towards Sustainable Infrastructure

When we talk about sustainable telecoms infrastructure, the conversation often jumps straight to energy consumption, carbon emissions, renewable power or more efficient network equipment. These are all important, but the May 2026 issue of NTT Technical Review reminds us that sustainability also has a very physical dimension. It is about the towers, poles, ducts, maintenance holes, conduits, closures, cables, covers, coatings and materials that quietly support communications networks for decades.

This is a timely topic because many countries are facing the same infrastructure challenge. Assets built decades ago are ageing at the same time that maintenance budgets, skilled workers and inspection capacity are under pressure. The NTT articles mention major infrastructure incidents in Japan in 2025, including sewer pipe collapses and ruptured water conduits, as examples of what can happen when ageing infrastructure and limited maintenance resources collide. The point is not that these assets were neglected, but that even well-managed infrastructure can become difficult to sustain when deterioration accelerates and resources become constrained.

For telecoms, this matters because modern networks are only as reliable as the physical infrastructure that supports them. Fibre, mobile base stations, switching equipment and transmission systems all depend on civil infrastructure. Underground ducts, maintenance holes, steel towers, poles and bridge-mounted facilities may not be as exciting as 5G Advanced, AI-RAN or 6G, but they are essential to service continuity, resilience and safety.

NTT’s approach to sustainable infrastructure is interesting because it is not limited to one technology. It defines sustainable infrastructure around four requirements: safety, economy, resource recycling and worker satisfaction. Safety means avoiding accidents and ensuring that maintenance workers can operate safely, including in enclosed spaces or at height. Economy means keeping maintenance costs low enough for assets to remain viable over the long term. Resource recycling brings in the circular economy, including reuse and recycling of equipment and materials. Worker satisfaction recognises that even with robots, AI and automation, human workers will remain essential, so maintenance needs to be practical, efficient and less burdensome.

The framework presented by NTT divides R&D into four areas. The first is maintenance, or changing the present, by improving existing maintenance work and extending service life. The second is sensing, or knowing the present, by detecting the condition of infrastructure more efficiently and ideally remotely. The third is prediction, or knowing the future, by forecasting how infrastructure will deteriorate in different environments. The fourth is design, or changing the future, by using the knowledge gained from deterioration prediction to create longer-lasting, easier-to-maintain and more recyclable infrastructure.

This way of thinking is useful because it shows that sustainability is not just about replacing old assets with new ones. Renewal buys time, but the new infrastructure will also deteriorate eventually. The real challenge is to understand degradation mechanisms, detect deterioration early, repair at the right time, and design future infrastructure so that it needs less maintenance in the first place.

One of the more practical examples is NTT’s work on smart maintenance for steel towers. Steel towers are exposed to wind, rain, humidity, salt and other environmental factors, and rust can affect long-term structural integrity. Traditional rust removal using power tools, metal brushes or sandblasting can be labour-intensive, difficult in narrow spaces and challenging around bolts. NTT is investigating laser-based rust removal as a smaller, lighter and lower-recoil alternative that could also be combined with robotics and AI in the future.

The clever part is that the laser is not only being treated as a tool for removing rust. NTT is also studying how laser irradiation changes the steel surface itself. If the process can form a stable oxide layer and improve paint adhesion, it may help suppress rust recurrence and extend repair intervals. That would reduce both labour requirements and maintenance costs. The work combines practical surface preparation with deeper materials science, including first-principles calculations and machine-learning-based molecular dynamics to understand how iron oxides form during rapid heating and cooling.

Another important area is corrosion prediction inside maintenance holes. NTT owns around 680,000 communication maintenance holes in Japan, and these spaces house fittings that support communication cables. Maintenance holes can be humid, nearly sealed environments where rainwater or groundwater enters and stagnates. Depending on the water level, metal fittings may alternate between submerged and high-humidity conditions, creating complex corrosion behaviour.

The article on corrosion deterioration focuses on metal fittings inside maintenance holes, including the local corrosion that can occur where a communication cable is secured by string. Standard salt-spray and cyclic corrosion tests are useful, but they do not always reproduce the exact corrosion behaviour found inside a maintenance hole. NTT therefore studied an air/solution alternating test, which better simulates the repeated wet and air-exposed state inside these environments. The research showed that this test could reproduce local corrosion directly under the string-contact section, making it more relevant for understanding deterioration in real facilities.

This is where the move from periodic inspection to condition-based maintenance becomes important. If operators can predict which maintenance holes or components are at higher risk, they can inspect those earlier, while extending inspection intervals for lower-risk assets. That is a far better use of limited maintenance resources than treating every asset in the same way.

Plastic materials are another area that does not receive enough attention in telecoms infrastructure discussions. Plastics are used in cable sheathing, branch cable covers, closure housings and bundling materials. They are lightweight, easy to form, electrically insulating and corrosion resistant, but they can degrade outdoors due to light, heat, water and stress. Ultraviolet light can trigger photooxidation, heat can accelerate chemical reactions, water can leach out additives, and mechanical stress can help microcracks grow into larger cracks.

NTT’s work on accelerated ageing tests for plastics, using polypropylene as an example, is about reproducing real degradation mechanisms more quickly without creating unrealistic failure modes. This distinction is important. It is easy to make a test harsher, but a harsher test is not automatically a better test if the degradation mechanism no longer matches what happens outdoors.

The researchers are therefore looking at chemical and physical indicators, such as carbonyl index measured by FT-IR, oxidation induction time measured by methods such as chemiluminescence, and mechanical properties such as tensile strength and fracture strain. They are also looking at test cycles that combine UV, heat, water and stress, as well as warm-water immersion to accelerate additive leaching. This kind of work can help identify materials with better weather resistance and support infrastructure with longer service life.

The final article broadens the discussion from telecoms infrastructure to social infrastructure. NTT’s Civil Systems Project has long worked on cable tunnels, maintenance holes, conduits and bridge-mounted facilities. The historical evolution is notable: in the 1970s and 1980s, the focus was on product development and construction methods; after the Great Hanshin-Awaji Earthquake in 1995, seismic performance became a priority; now, with ageing assets, the focus has shifted towards efficient and sustainable maintenance.

A simple but effective example is the Tapered DIAmond Iron Cover for maintenance holes. Its surface pattern changes visually as it wears, allowing inspectors to judge wear more easily without measuring groove depth. Its design also improves abrasion resistance and extends the replacement cycle to around three times that of the previous design. This is a good reminder that innovation in infrastructure is not always about advanced AI or robotics. Sometimes, better physical design can make inspection easier, reduce lifecycle costs and extend asset life.

That said, AI does play an important role. NTT has developed image-based diagnostic technologies that can inspect, diagnose and predict deterioration. One example is technology that predicts the future progression of steel corrosion from images of infrastructure facilities, such as road bridges. By combining images with environmental data, the model can generate predicted images showing how corrosion may spread. In verification using telecommunications conduit facilities attached to road bridges, the technology predicted the increase in corrosion area several years ahead with an average error of less than 10%.

NTT is also applying telecoms infrastructure know-how to wider social infrastructure, including roads, bridges, tunnels, water and sewage systems. Using accumulated facility data, it has built AI models to estimate damage risk from disasters such as earthquakes, heavy rainfall and flooding. The article also highlights the use of synthetic aperture radar satellite data to detect early signs of underground cavities before surface damage becomes visible. This could allow wide-area screening of roads and help reduce the cost and labour associated with traditional ground-penetrating radar inspections.

There is an important lesson here for the telecoms industry. Network sustainability cannot be measured only at the level of watts per bit or carbon emissions from active equipment. Those metrics matter, but they do not capture the full lifecycle of infrastructure. A sustainable network also needs long-lived materials, efficient inspection, predictive maintenance, safer working methods, lower lifecycle cost, and better reuse and recycling.

This will become even more important as networks evolve. 5G, 5G Advanced and future 6G systems will require dense, distributed and resilient infrastructure. Edge computing, fibre densification, small cells, private networks, non-terrestrial connectivity and AI-native operations all depend on physical assets that must be deployed, protected, inspected and maintained. The more digital the network becomes, the more important the physical layer of infrastructure remains.

NTT’s May 2026 feature articles are therefore a useful reminder that sustainable infrastructure is not a single technology area. It sits at the intersection of materials science, sensing, AI, robotics, civil engineering, chemistry, laser technology, satellite monitoring and practical field operations. It also shows that telecoms infrastructure expertise can be valuable beyond telecoms, especially as wider social infrastructure faces similar ageing, resilience and maintenance challenges.

The future sustainable network will not just be more energy efficient. It will also be easier to inspect, safer to maintain, smarter at predicting deterioration, built from better materials, and designed with the full lifecycle in mind. That may not sound as glamorous as the latest radio interface or AI breakthrough, but without it, the networks we rely on every day cannot remain reliable, resilient or truly sustainable.

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Friday, 31 January 2025

Electric Vehicles as a Resilient Power Source for Telecom Infrastructure

In an era where reliable telecommunications infrastructure was critical, Japan’s telecom giant NTT DOCOMO, in collaboration with NTT Corporation and Nippon Car Solutions (NCS), launched a ground-breaking demonstration experiment to enhance base station power resilience during outages. This initiative explored the feasibility of using electric vehicles (EVs) as mobile power sources, supported by AI-driven dispatch planning.

Addressing the Challenge of Power Outages

Telecom networks rely on consistent power to maintain connectivity, especially during emergencies. Traditionally, base stations depend on backup batteries with limited capacity, supplemented by generators in prolonged outages. However, with the increasing adoption of EVs, their potential as mobile energy sources offered a novel and sustainable approach to bolstering telecom infrastructure resilience.

The experiment integrated multiple technological components:

  • DOCOMO’s Energy Management System (EMS): This platform monitored the charge status of base stations and coordinated power-sharing between EVs and telecom infrastructure.
  • NTT’s AI-Based Dispatch Planning: Leveraging deep reinforcement learning, this system dynamically optimised EV dispatch to ensure timely power delivery to affected base stations.
  • Real-time EV Data Collection: Provided by NCS, this component tracked EV location, stored power, and driving data to enhance operational efficiency.

A Smart, AI-Driven Approach

One of the key innovations in this experiment was the use of AI-driven route planning to deploy EVs effectively. The AI system not only determined the fastest routes for EVs to reach power-downed base stations before backup batteries depleted but also ensured that vehicles were directed to charging stations before their own power ran low. By optimising travel and energy allocation, the AI model addressed logistical challenges that could otherwise hinder the feasibility of EV-based power support.

The trial, conducted in Chiba Prefecture, simulated wide-area power outages and assessed the effectiveness of the AI dispatch model in real-world conditions. By driving EVs according to AI-generated plans and measuring the charging effectiveness at base stations, the experiment aimed to refine this approach for broader adoption.

Sustainable and Scalable Solutions for Future Telecom Networks

Beyond immediate disaster response, this initiative aligned with broader sustainability goals. As a member of the EV100 initiative, NTT was committed to accelerating the adoption of electric vehicles within corporate fleets. Integrating EVs into telecom infrastructure resilience strategies not only enhanced disaster response but also contributed to reducing carbon footprints in the industry.

If successful, this model could be used as a blueprint for telecom operators worldwide, particularly in regions prone to natural disasters. By leveraging AI, energy management systems, and EV technology, telecom networks could build a more resilient, flexible, and sustainable power backup strategy.

This forward-thinking trial underscored how emerging technologies could be harnessed to address infrastructure vulnerabilities, ensuring uninterrupted connectivity when it mattered most. As the telecom industry continued to evolve, integrating intelligent, sustainable power solutions remained key to enhancing network reliability and disaster preparedness.

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Sunday, 18 April 2021

NTT Technical Review Highlights ITU-T Work on Standards for Higher-Capacity Fiber

International Telecommunication Union - Telecommunication Standardization Sector (ITU-T) Study Group 15 is working on revising standards (Recommendations) for single-mode optical fiber (SMF). There are also discussions toward standardizing space division multiplexing technologies, which are promising for overcoming the capacity limit of SMF. All these are captured in an NTT Technical Review article titled, "Recent Standardization Activities in ITU-T on Single-mode Optical Fiber and Space Division Multiplexing Technologies"

Here is an extract from the article:


The Recommendations shown in red in Table 1 are those being actively discussed. The G.652 fiber is used worldwide and recognized as “standard SMF.” The G.657 fiber has optical characteristics compatible with those of G.652 fiber but has improved bending loss. These two fibers support transmission over the O–L band* (1260–1625 nm) and used for various applications such as access, metro, and core networks. Recommendation G.654 is for a fiber supporting C–L-band* transmission and mainly used for submarine long-haul transmission systems. The revision of these Recommendations are active topics in ITU-T due to the capacity growth in terrestrial and submarine optical fiber networks. In the next section, recent activities for revising these SMF Recommendations are introduced.

...

Network capacity has been increasing at a rate of a few tens of percent, and the capacity crunch with SMF networks will become a serious issue in the 2020s. To overcome the capacity limit of SMF, fibers for space division multiplexing (SDM) transmission have been intensely investigated. Figure 4(a) shows the conceptual images of SDM fibers. SDM fibers can be basically categorized into two: multi-core fiber or multi-mode fiber. Multi-core fiber has multiple cores within a cladding, and multi-mode fiber has multiple propagation modes within a core. In SDM transmission, multiple signals can be simultaneously transmitted through multiple cores or modes, achieving much higher capacity compared with that in SMF. Before SDM fibers can be used in telecom networks worldwide, it is necessary to establish an SDM fiber Recommendation in the same manner as the SMF Recommendations. 

It was proposed and agreed at ITU-T 2020’s January meeting to start discussion on a new technical report for SDM optical fiber and cable. Although the content of this technical report is under discussion, it was agreed to include the related topics on cable, splice/connectors, and installing technologies. The main discussion pointes are: target application and benefits of SDM technology and categorization of SDM fiber. Regarding the target application for SDM technologies, it is important to compare technologies that use SMF to improve spatial density, such as high-fiber-count cable or reduced coating-diameter fiber technologies, as shown in Fig. 4(b). Although various SDM fibers have been proposed, current multi-core fiber- or few-mode fiber-based SDM fiber is being discussed as a potential candidate of SDM fiber. It is expected that the fiber parameters and test methods for such fibers will be discussed and incorporated into this technical report. The tentative publishing year for this technical report is 2022. The discussion on SDM fiber standardization has been initiated in advance in Japan, and the current technical level or challenges for SDM standardization has/have been summarized as technical report-1077 entitled “Technical Report on Space Division Multiplexing Technologies” (in Japanese) published by the Telecommunication Technology Committee (TTC).

You can read the article here and download the PDF after free registration from here.

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Friday, 12 June 2020

IOWN - Innovative Optical and Wireless Network

If you are not watching the optical networking space, chances are you have not heard of this Innovative Optical and Wireless Network (IOWN) initiative which was proposed by NTT and is now being standardised by IOWN Global Forum.


NTT Technical Review published a detailed article on this topic earlier this year. The following is from the article:

To create an affluent and diverse society, NTT has proposed the Innovative Optical and Wireless Network (IOWN) concept, which is a new communication infrastructure that can provide high-speed broadband communication and enormous computing resources by using innovative technologies including optical technologies. NTT also believes that these innovative technologies can optimize society as a whole and individuals using all types of information. IOWN uses three elements, All-Photonics Network, Digital Twin Computing, and Cognitive Foundation® to create a smart world, as shown below (Fig. 3).

  • Dramatic reduction in power consumption and broadening of communication bandwidth can provide enormous processing capacity for the explosive increase in computational complexity.
  • By increasing the capacity and reducing the delay of communications, it is possible to share in real time huge amounts of information collected from various sensors, exceeding the five senses.
  • Dedicated use of optical wavelengths provides a high level of confidentiality and stability and can be used for mission-critical services.
  • Multi-orchestration capabilities for centralized management of various resources, enabling resource utilization across industrial and regional domains
  • The creation of a cyberspace that replicates and expands the real world by combining various digital twins and human models


All-Photonics Network

As the number of people and things connected to a network increase, advanced, complex, and large-scale information processing such as for AI will require a vast amount of power consumption. To reduce such power consumption and meet mission critical service requirements, NTT applies photonics technologies to end-to-end environments for achieving ultra-low-power consumption, large-capacity, and low-delay networks. For example, NTT aims to increase power efficiency 100 fold by developing transmission devices that control optical wavelengths and photonics-electronics convergence devices. NTT also aims to expand transmission capacity 125 fold by increasing multiplexing in optical fibers and expanding multicores in a fiber (Fig. 4).



Digital Twin Computing

A digital twin is an image of real-world objects, such as production machines, aircraft engines, and automobiles in factories, by mapping their shapes, conditions, and functions into cyberspace and expressing them accurately. Using digital twins enables us to analyze the current situation, predict the future, and simulate objects in cyberspace.

Digital Twin Computing is a new computing paradigm that makes it possible to reproduce and simulate the interaction between things and people freely in cyberspace by conducting computations such as exchange, fusion, duplication, and synthesis for many digital twins representing the real world.

Cognitive Foundation®

To achieve low-power-consumption, high-capacity, high-quality communication networks and large-scale interactions between people and objects, it is necessary to select and use various resources appropriately. The Cognitive Foundation is an infrastructure that provides a set of functions necessary to build and operate services by using various methods of collecting, processing, storing, and communicating data scattered throughout various locations.


NTT recently released Technology Report for Smart World 2020 which introduces 11 technologies that they think are crucial to thinking about the changing world ahead. According to them, these technologies are the focus of their own research and development efforts, and are also being vigorously pursued around the world. Some of these technologies are key components of IOWN, while others can be expected to see wide adoption as a result of IOWN according to the report.

Back in April, IOWN GF unveiled its Vision 2030 White Paper. With artificial intelligence, virtual and augmented realities, 5G, dynamic computing scaling, blockchain and other advanced technologies on the verge of becoming part of the daily lives for billions of people, IOWN GF’s Vision 2030 is to define and build a global communications infrastructure over the next decade capable of sustainably maximizing the benefits these new technologies offer society and businesses. The hope is to create a smarter world where technology is used more naturally and becomes more pervasive for all. Download the Innovative Optical and Wireless Network Global Forum Vision 2030 and Technical Directions White Paper here.



Finally, the videos will provide a much clearer idea about the vision of IOWN. As always, feel free to provide your insights in the comments below.