A bit of FTTx and a bunch of AI: … [visit site to read more]
A bit of FTTx and a bunch of AI: … [visit site to read more]
Operator Yas Tanzania and technology giant Ericsson have announced the first commercial deployment in Africa of Ericsson’s AIR 3285 radio, supporting what they describe as a major step forward in network performance and user experience across the country.
The deployment follows a successful trial and forms part of Yas Tanzania’s ongoing network modernisation and expansion, supporting its ambition to strengthen digital infrastructure and expand access to high-quality connectivity across the country.
Ericsson is supplying the AIR 3285 radios and supporting deployment and integration, helping enhance network capacity and performance. This, it says, enables more reliable and higher-quality connectivity for everyday use cases such as e-learning, remote work and live streaming, while improving user experience in high-traffic environments such as large events, and laying the foundation for new digital services that support inclusive growth.
The enhanced 4G capabilities will enable greater digital inclusion by improving access to high-speed connectivity for individuals and businesses, while also supporting the introduction of advanced digital services such as Internet of Things (IoT) and smart city use cases.
Ericsson’s AIR 3285 is a dual-band frequency division duplexing (FDD) massive MIMO radio weighing only 31kg, making it the lightest in its class. Its optimised weight and size simplify rollouts in high-capacity sites, helping operators meet growing demand for uplink capacity.
It offers up to four times higher uplink capacity and two times higher downlink capacity than traditional 4T/4R solutions, supporting improved network performance and efficiency.
Ericsson and Yas Tanzania say they have a long-standing partnership, including the launch of 5G services in 2022 and the modernisation and expansion of the operator’s 4G network.

Edited by Brad Randall, Broadband Communities
June 23, 2023 — SpaceX has announced it has entered into a definitive agreement to acquire Anysphere, Inc., the creator of the popular AI-powered coding assistant Cursor.
According to a Form 8-K filed with the SEC, the all-stock transaction values Cursor at an implied equity value of $60.0 billion.
Under the terms of the agreement outlined in the Form 8-K, SpaceX will merge a wholly owned subsidiary into Cursor, which will continue operating as a wholly owned subsidiary of the aerospace giant. Cursor shareholders will also receive SpaceX Class A common stock, with the share exchange ratio determined by the stock’s 7-day volume-weighted average price prior to closing.
The acquisition bridges SpaceX’s engineering ecosystem with next-generation developer intelligence, potentially supercharging software automation for Starlink.
The transaction is subject to standard regulatory approvals and is expected to close in the third quarter of 2026, SpaceX’s SEC filing stated.
As massive tech mergers signal a broader shift toward deep AI integration, the broadband sector is already finding ways to leverage this intelligence at the network level.
To see how these computational breakthroughs translate into localized, real-world utility, don’t miss the session “AI in Action: Improving the Resident and Support Experience“ at the Broadband Communities Summit 2026.
Happening on August 26 at 3:35 PM in Room 310A-C, this panel features leaders from RealPage, Apartment SEO, and RUCKUS Networks discussing exactly how AI is shifting from experimental tech to an operational powerhouse.
Secure your pass today to learn how to harness the AI revolution for your networks.
Some AI tools also assisted in the crafting of this report.
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Edited by Brad Randall, Broadband Communities
June 23, 2026 — A coalition of major trade associations—including tech and telecom leaders like NCTA, ACA Connects, NTCA, and the Telecommunications Industry Association, alongside healthcare technology groups MDMA and AdvaMed, the Alliance for Automotive Innovation, and retail giants via the Retail Industry Leaders Association and the National Retail Federation—has raised alarms over an emerging memory chip shortage they say threatens to disrupt supply chains and drive-up costs across multiple sectors.
In a June 3 letter addressed to Treasury Secretary Scott Bessent and Commerce Secretary Howard Lutnick, the groups outlined the critical challenges posed by surging demand for memory chips driven by the rapid expansion of artificial intelligence (AI) data centers.
The letter emphasizes the “unprecedented surge in the price of memory chips and reduced supply of these chips for manufacturing and consumer-facing industries.”
It also warns of immediate and near-term impacts, including rising prices for everyday electronics, increased costs for telecommunications infrastructure, and risks to sectors ranging from automobile production to medical device manufacturing. Federal contractors, particularly small businesses, also face potential delays and disruptions in fulfilling procurement commitments, the June 3 letter argues.
Despite significant U.S. investments to boost chip manufacturing, the coalition asserts that market imbalances persist.
They urge the government to “work with memory chipmakers and chip buyers to assess steps that can be taken to address this imbalance” and protect consumers, workers, and businesses alike.
Proposed measures include accelerating capacity expansion domestically and in allied countries, leveraging trade and investment agreements to strengthen supply chains, and adjusting regulatory frameworks to support faster sourcing and innovation.
Additionally, the letter conveys a spirit of partnership, stating the signatories “stand ready” to discuss solutions.
The organizations also underscore their alignment with the administration’s broader economic goals, aiming to “bolster the strength of the U.S. economy, resilience of our supply chains, and prosperity of our citizens and businesses.” As AI continues transforming technology landscapes, ensuring balanced and reliable access to memory chips is now front and center on the policy agenda.
With surging AI demands putting unprecedented strain on the global tech ecosystem, the industry is also racing to evolve.
Discover the solutions firsthand at The Future of Memory and Storage | FMS 2026, happening August 4–6 at the Santa Clara Convention Center. Featuring an elite lineup of keynote speakers, deep-dive sessions into HBM, CXL, and advanced data center strategies, FMS 2026 is where the technology community maps out what comes next. Secure your pass now to connect with the global innovators redefining data scaling.
Some AI tools also assisted in the crafting of this report.
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Two network expansions and a bit of non-commercial support: … [visit site to read more]
On June 23 (local time), the 2026 Digital Transformation World (DTW2026), hosted by TM Forum, opened in Copenhagen, Denmark. Dr. Li Huidi (pictured), EVP of China Mobile, was invited to attend the conference and delivered a keynote speech titled “AN in Future,Faster.”
Li Huidi noted that with the widespread adoption of Gen-AI, token traffic is experiencing explosive growth, driving networks to evolve from traditional “bit transmission” to “bits + tokens delivery.” China Mobile is actively embracing this trend by continuously advancing network upgrades, providing a solid digital infrastructure foundation for the AI era. At the same time, AI technologies are rapidly evolving from “passive training” to “autonomous evolution,” with large models achieving continuous breakthroughs that are reshaping industrial competition and innovation paradigms.
Focusing on the development path toward high-level Autonomous Networks (AN), Li Huidi outlined four key perspectives. First, AI must evolve from“bolt-on” to AI Native. AI will deeply integrated into network elements, operational processes, and services, thereby reshaping operational workflows and continuously improving efficiency. Second, networks must evolve from isolated intelligence to cross-domain End-to-End Collaboration, enabling wireless, core, transport, and IP networks to move beyond siloed operations, they must collaborate around the complete customer journey—from user to connection, from connection to service. Third, AN must shift from efficiency gains to value creation, delivering differentiated experiences, supporting sustainable development, and unlocking new business opportunities across the industry. Fourth, autonomy must evolve from terrestrial networks to Comprehensive Integrated networks, where 5G-A ISAC, computing-network convergence, and future 6G space–air–ground must all become part of a unified autonomous foundation.
As a key global contributor to AN development, China Mobile continues to play an industrial leadership role and accelerate the deployment of high-level autonomy. Currently, 21 high-value scenarios (HVS) have achieved L4 from China Mobile, covering key areas such as service provisioning, change monitoring, quality optimization, and power saving, leading to continuous reductions in operational costs. Over the next three years, China Mobile plans to expand L4 capabilities to 38 HVS and further scale AI-enabled scenarios, building a portfolio of iconic applications and agents that enhance both operational capabilities and business value.
In terms of technological innovation, China Mobile is accelerating the construction of a new autonomous network system featuring “AI Native networks + Digital Twin + Multi-Agent Collaboration + Computing-Network Integration.” In the AI Native networks, intelligent capabilities will be embedded into network equipment such as base stations, core networks, broadband access, and optical transport systems. In the Digital Twin domain, China Mobile will enable simulation, pre-verification, fault replay, and optimal decision-making. In Multi-Agent Collaboration, China Mobile is building a trusted AI system based on network foundation models and multi-agent collaboration frameworks. In Computing-Network Integration, it is developing high-quality infrastructure capabilities to support AI workloads and token-based traffic requirements in the AI era.
In closing, Dr. Li stated that the telecom industry is undergoing a historic transformation—from manual operations to automation, then to autonomous operations, and ultimately toward an AI-native paradigm. The networks of future will no longer merely connect people to people, or people to things. They will connect intent to outcomes.
The networks of future will no longer merely transport bits. They will understand demand, coordinate decisions, and create value.
China Mobile is committed to working hand in hand with global industry partners, upholding openness and collaboration, and advancing the deep integration of AI and information and telecom technology. Together, we will enter a new phase: driven by innovation, powered by thriving industries, built on trust and resilience, and designed to make intelligence accessible to all.
—accelerating the arrival of the future of AN.
Amidst the digital wave, smart city construction has become a popular choice for megacities to address governance challenges. Wuhan, keeping pace with China’s modernization, has continuously innovated in governance, upgraded industries, and optimized the ecosystem, injecting vitality into the city. This allows residents of Wuhan to live and work with much greater convenience, and to embrace a bright future together.
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Project Background
Wuhan, the capital of Hubei province, is often called the « City of Rivers. » As a major metropolis in central China, Wuhan is rich in history and culture. As a megacity and an important comprehensive transportation hub in China, Wuhan is also the center for shipping, the regional economy, innovation in science and technology, commerce, and logistics in the middle reaches of the Yangtze River. Wuhan administers 16 districts, covering an area of about 8,569 square kilometres, with a permanent population of about 13.81 million.
Smart city development has become essential for megacities to address governance challenges. Wuhan, known as the « Crossroads of Nine Provinces, » has remained committed to modernizing its urban governance. This move is a crucial step to respond to residents’ aspirations for a better life. To address common challenges in traditional urban governance, such as fragmented management and delayed responses, Wuhan has partnered with Huawei along with other leading tech companies to build a unified city management platform. With the City Intelligent Twins as the core engine, this platform explores a new path of smart governance, covering perception to thinking and detection all the way to prediction. By deploying this platform, Wuhan sets an example of megacity governance and outlines a practical blueprint for AI CITY construction.
Customer Requirements
For a long time, fragmented management and data silos have been major obstacles to megacity governance. These issues often lead to situations where visible problems cannot be solved and solvable problems cannot be detected in time. To address this, Wuhan needs to build a city neural network that features all-domain perception, intelligent analysis, autonomous handling, and intelligent decision-making. The goal is to break down data silos, integrate information, and ultimately transform it into smart governance.
Based on digital twin and intelligent collaboration technologies, Wuhan has built a warning and handling platform similar to the human immune system, transitioning the focus of urban governance from reactive response to proactive prevention.
Smart city construction should go beyond cost reduction and efficiency improvement, and instead focus on enhancing city competitiveness, residents’ sense of gain, and sustainable development. In other words, technology should serve people, making cities livelier and more welcoming for everyone.
Huawei Solution
Against this backdrop, Wuhan’s smart city construction focuses on three core requirements:
Huawei built “One City One Network” for Wuhan, creating a 100G ultra-broadband all-optical foundation to cover the entire backbone network with two cores and four rings. This network supports multiple services, including government extranets and dedicated video networks, significantly improving the efficiency of cross-departmental collaboration and the quality of video transmission. This information highway allows thousands of residential requests, tens of thousands of video signal channels, and over 10 billion IoT data records to be aggregated in real time to the central hub of Wuhan’s city operations center, laying a solid network foundation for smart governance.
Leveraging the powerful computing power of Wuhan Cloud, Huawei built an intelligent city agent. The system can automatically identify and analyze more than 10,000 channels of video and images backhauled from hundreds of drones patrolling across the city. In addition, it can accurately identify 11 types of typical city governance events, such as parking violations and road flooding.
With the Talk2Video technology, users can converse with the system in natural language, and the system can retrieve onsite and surrounding video resources with nearly zero latency, collecting first-hand information for decision-making. This means that data is not only visible, but also intelligible and can be quickly responded to. This helps transform city governance from passively receiving information to proactively identifying risks and intelligently assisting decision-making.
Powered by the Huawei 2012 Labs’ patented technology, Star-Hopping Engine, the intelligent agent organizes a large amount of unstructured data, including service tickets, documents, and workflows, to build a knowledge base for learning and retrieval. The intelligent agent automatically aggregates incident details and resolution records, allowing staff to interact with it through natural-language dialogues for intelligent data queries, greatly simplifying information access and retrieval. It can also autonomously generate comprehensive summary reports, perform accurate statistics and anomaly analysis on high-frequency and critical events, and produce both periodic and specialized reports.
Based on the digital twin foundation, Wuhan has built a 3D map covering 8,569 square kilometres, including a high-precision model of 1,200 square kilometres. The map is connected to hundreds of key check points in the city, such as water accumulation, air quality, and bridges, to comprehensively sense the status of key city infrastructure.
Complex incidents require collaboration across regions and departments. To help Wuhan efficiently address such incidents, Huawei built an efficient collaborative response system at the city and district levels using its converged communications technology. This system connects all 16 districts across the city, making dispatch of forces scattered across departments possible with simple clicks of a mouse. During emergency response, the video conferencing system is connected to local carriers’ networks, allowing users to join conferences without installing any apps. This greatly improves the response speed. The system also upgraded the decision mode from traditional serial reporting to parallel collaborative decision-making, truly achieving efficient handling of emergencies.
Customer Benefits
Wuhan has built a number of integrated cross-scenario applications, such as smart gas, smart drainage, and bridge and tunnel safety. The gas safety accident rate has decreased by 60%, the traffic congestion index has decreased by 15%, and the public satisfaction rate has increased to 98%.
Wuhan has integrated the latest digital and intelligent technologies into its urban development, transforming city governance from seeing to understanding and from passive response to proactive anticipation. Located along the Yangtze River and looking toward the future, Wuhan uses its digital and intelligent city plan to better meet residents’ expectations, setting a strong example for global governance of ultra-large cities.
« Managing megacities is a global challenge. The Central government of China has stated that convenient and efficient smart cities need to be built. The core of this is to use technology to serve people, making city governance more refined and residents’ lives more convenient. AI is giving governance a sense of touch, sight, and convenience, and is profoundly changing the lives of Wuhan residents. »
By Geng Feng – Deputy Director of Wuhan City Operations Management Center
For more details, please visit: https://e.huawei.com/en/case-studies/industries/government/202602-wuhan-smart-city
Some last mile news, an intercity optical buildout, and some possible M&A: … [visit site to read more]
Day One of Digital Transformation World 2026 kicked off with a focus on speed – the runaway pace of AI evolution, the breakneck pace at which enterprises must work together to adapt, and the scramble to take advantage of opportunities as they evolve.
In his opening keynote, TM Forum Chairman Steffen Roehn remarked that as the pace of AI acceleration becomes increasingly overwhelming, speed of collaboration becomes a competitive advantage.
Level Four autonomous networks – in which AI assumes control over decision-making in specific scenarios – are now a reality. Against the backdrop of such rapid evolution, telcos are well-placed to become the trust layer that allows the AI economy to function.
TM Forum CEO & President Nik Willets underlined the importance of trust in what he dubbed the ‘Race to 2030’, in which operators will need to grasp their opportunity to compete in the AI economy. He noted that while 72% of enterprises claim to have high levels of trust in the functionality of their AI agents, just 18% are able to offer regulator-ready evidence to support these claims.
Willets outlined that while architecture certainly still matters, ODA (open digital architecture) must go further, evolving from composable to AI-native to facilitate network autonomy while offering regulation-defensible control layers and AI governance frameworks. Willets described AI-native ODA as effectively the blueprint for building and operating an AI-native telco.
But how can telcos translate this ‘AI hope’ into high volume growth? This was the question posed by former Axiata CEO and current advisor to the operator group’s board, Vivek Sood. In emerging markets, AI must help operators to grow sustainably and scale effectively to bring down the cost per GB – because ultimately, AI must help operators deliver value to customers. Sood outlined how traditional AI use cases can demonstrably make networks more efficient – in terms of pipeline quality, infrastructure rollout and operations, energy performance, and capital efficiency – and highlighted that the next step is to monetise this by unlocking AI impact at scale across the enterprise.
TIM Italy CEO Pietro Labiola emphasised how trust, not speed, is now the key parameter for telcos – and that they must demonstrate this by becoming the assurance layer, taking control of data as the issue of AI sovereignty becomes increasingly pressing. Sood agreed, noting that customers in emerging markets are more willing to pay for security and an improved quality of experience. Operators cannot assume that they can continue merely to sell connectivity for revenue – they have to invest in building marketplaces that provide more value to the customer. Sood highlighted that operators must view efficiencies as new growth opportunities.
However, creating differentiation through experience is of course a challenge. Keppel’s Manjot Singh Mann noted that even if AI enables telcos to offer improved customer experiences, they should not expect to charge more for this. The growth opportunities are around increasing efficiencies and reducing costs – telcos must be able to create new business models and revenue pools around AI, rather than expecting to offer more of the same.

The European telecommunications market is expected to grow slowly, at just 2% to 3% by 2029. Because of this slow growth and the challenges of a complex global economy, operators are rethinking how they work. The industry is now looking beyond traditional consumer cellular services, which are only growing at 3% to 4%, and is moving toward broader communication ecosystems, including mission-critical networks, satellite infrastructure, and massive IoT deployments.
These challenges and emerging trends were extensively discussed at the recent Comarch User Group gathering, highlighting the critical paths operators must take to stay competitive. The event hosted over 700 partners from 53 countries across 8 streams, including 201 connectivity experts.
The global economy now demands high levels of investment, especially in technology. Major countries are spending heavily. China, for example, is allocating 25% of its GDP to infrastructure and technology, creating far more value than Europe’s tech investments. In this competitive environment, traditional efficiency methods are not enough. Communication Service Providers (CSPs) need to boost productivity by quickly adopting new technologies.
“Global markets are pivoting towards AI adoption, where traditional efficiency methods simply won’t be enough to keep pace with the global economy. As we emphasized alongside our partners at the recent Comarch User Group, CSPs must fundamentally rethink their operational models. We can no longer rely solely on consumer cellular services, we must pivot aggressively toward broader, more complex ecosystems and services that encompass mission-critical networks, massive IoT deployments, and autonomous multi-orbit satellite infrastructure,” commented Marcin Kaleta, CEO at Comarch Communications.
One of the main challenges for CSPs is handling the growing complexity of their networks. Right now, up to 40% of network outages are caused by human error, and 88% of digital transformations do not meet their goals. To address this, the industry is moving from basic automation, which depends on humans following rules, to Agentic AI, where systems take on more responsibility within set policies.
Client case studies presented at the Comarch User Group this year highlighted that changing systems to support intent-based actions allows for as much as 30% to 40% cut in Network Operations Center costs and a 10% to 20% faster Mean Time to Repair (MTTR). However, only 6% of CSPs have the data streaming abilities needed to fully use advanced AI models, meaning that technical readiness is still a big hurdle.
Integrating Massive IoT into 5G networks brings new physical and technical challenges. The old way of constantly checking devices drains batteries and can overload the network. During the inaugural IoT Connectivity Forum at CUG 2026, experts detailed that switching to an event-driven setup and using the 5G RedCap standard makes it easier to manage connected devices. Standardizing CAMARA interfaces and Network Exposure Functions (NEF) also helps operators move toward an “API economy.” This change enables them to monetize network Quality of Service (QoS) through targeted microservices, making CSPs more than just simple data carriers.
To take advantage of these new revenue opportunities, operators need to address their existing technology debt. Old, monolithic systems often slow down IT teams and pose significant risks when changes are made. Instead of replacing everything at once, the industry is moving to composable Business Support Systems (BSS) using the TMF Open Digital Architecture. This modular approach allows for targeted upgrades, such as adding cloud-native billing engines that can scale resources as needed.
Jacek Prokop, BSS Product Marketing Manager at Comarch Communications, highlighted this topic, referring to monolithic legacy systems as a “silent killer”. To mitigate the risks of migrating away from these monoliths, he introduced the concept of operational digital twins within a modular architecture present in Comarch Communications’ Composable BSS suite: “We are giving you a secure, isolated sandbox where you can clone and test your real production data, like orders and products, without ever touching the live system.”
Geopolitical instability has made connectivity more than just a basic service – it is now seen as a key part of national sovereignty. There is a clear gap in space infrastructure: the US has many more satellites and launches them much more often than Europe. To reduce this dependency, programs like the European Union’s IRIS² are investing €10 billion in building a secure, multi-orbit satellite network. Running this kind of infrastructure requires ground software that can manage complex data and mission control autonomously, without relying on other countries.
As the industry faces economic pressures and the need to improve productivity quickly, it is important to focus on core architecture rather than individual use cases. Building modular systems and supporting operational independence will be key for operators who want to profit from new ecosystems.
Looking ahead, CSPs need to ask themselves an important question: Is our data architecture strong enough to support autonomous agents and sovereign networks so we can stay competitive in the next decade?