Author: Alan Weissberger
U.S. BEAD overhaul to benefit Starlink/SpaceX at the expense of fiber broadband providers
The U.S. The Commerce Department is examining changes to the NTIA’s $42.5 billion broadband funding bill (Broadband Equity Access and Deployment- BEAD), which endeavors to expand internet access in underserved/unserved areas. [BEAD was part of the 2021 Infrastructure Investment and Jobs Act (IIJA) during the Biden administration] The proposed new rules will make it much easier for Elon Musk owned Starlink satellite-internet service, to tap in to rural broadband funding, according to the Wall Street Journal. [Starlink is owned by SpaceX which is majority owned by Elon Musk).
Commerce Department Secretary Howard Lutnick said that BEAD will be revamped “to take a tech-neutral approach that is rigorously driven by outcomes, so states can provide internet access for the lowest cost.” The department is also “exploring ways to cut government red tape that slows down infrastructure construction. We will work with states and territories to quickly get rid of the delays and the waste. Thereafter, we will move quickly to implementation in order to get households connected. All Americans will receive the benefit of the bargain that Congress intended for BEAD. We’re going to deliver high-speed internet access, and we will do it efficiently and effectively at the lowest cost to taxpayers.”
By making the broadband the grant program “technology-neutral,” it will free up states to award more funds to satellite-internet providers such as Starlink, rather than mainly to companies that lay fiber-optic cables which connect the millions of U.S. households that lack high-speed internet service.
The potential new rules could greatly increase the share of funding available to Starlink. Under the BEAD program’s original rules, Starlink was expected to get up to $4.1 billion, said people familiar with the matter. With Commerce’s overhaul, Starlink, a unit of Musk’s SpaceX, could receive $10 billion to $20 billion.
“The Trump administration is committed to slashing government bureaucracy and harnessing cutting-edge technology to deliver real results for the American people, especially rural Americans who were left behind” under the Biden administration, White House spokesman Kush Desai said.
“Leave it alone; let the states do what they’ve done,” Missouri State Rep. Louis Riggs, a Republican, said in a recent interview. “The feds could not do what the states have done. In 10 or 15 years, all they basically did, they walked in and screwed everything up. God love them, they just keep throwing money at the problem, which is okay when you give it to the states and let us do our jobs, but trying to claw that funding back and stand up a new grant round is the worst idea I’ve heard in a very long time, and that’s saying a lot coming out of D.C.”
The overhaul could be announced as soon as this week, possibly without some details in place, the people said. Following any changes, states might have to rewrite their plans for how to spend their funding from the program, which could delay the implementation.
Lutnick told Commerce staff he plans to do away with other BEAD program rules, including some related to climate impact and sustainability, as well as provisions that encouraged states to fund companies with a racially diverse workforce or union participation, the people said. The program requires internet-service providers that receive funding to offer affordable plans for lower-income customers. Lutnick saids he is considering reducing those obligations.
Commerce Secretary Howard Lutnick at the White House last month. Photo: Francis Chung/Pool/Cnp/ZUMA Press
Many broadband providers worried the Musk-led Department of Government Efficiency (DOGE) would eliminate or reduce the program’s funding. Is that not a conflict of interest considering that Musk owns Starlink/SpaceX?
Given the overhaul, fiber broadband providers may not benefit from it as much as they expected because non-fiber technologies are poised to receive more funding than before.
Fiber Broadband Association CEO Gary Bolton said in a statement that all “Americans deserve fiber for their critical broadband infrastructure. Fiber provides significantly better performance on every metric, such as broadband speeds, capacity, lowest latency and jitter, highest resiliency, sustainability and provides the maximum benefit for economic development and is required for AI, Quantum Networking, smart grid modernization, public safety, 5G and the future of mobile wireless communications. We urge our policymakers to do what’s right for people and to not penalize Americans for where they live or their current income levels.”
Telecommunications and broadband consultant John Greene wrote that states that have started the sub-grantee selection process, such as Louisiana, “might be forced to rethink their process in light of potential new rules.” Other “states, like Texas, might be better served to pause their process until after Commerce has completed their review and made any necessary changes,” he said.
References:
Nokia will manufacture broadband network electronics in U.S. for BEAD program
New FCC Chairman Carr Seen Clarifying Space Rules and Streamlining Approvals Process
Highlights of FiberConnect 2024: PON-related products dominate
Goldman Sachs: Big 3 China telecom operators are the biggest beneficiaries of China’s AI boom via DeepSeek models; China Mobile’s ‘AI+NETWORK’ strategy
According to a new research report from Goldman Sachs-China, the three major, state owned telecom operators (China Mobile, China Telecom, China Unicom) are quietly becoming the core beneficiaries of China’s AI boom. One reason is that, thanks to their deployment of China’s most extensive cloud infrastructure, they can serve other cloud companies as well as provide their own cloud services to their end user customers. They also enjoy the cost and scale advantages of owning their own data centers and bandwidth. For some IaaS companies, data center and connectivity together account for as much as 60% of total expense, according to Goldman-China.
Goldman analysts believe that telecom operators’ cloud businesses have obvious cost advantages compared to other cloud companies. Those are the following:
- The big 3 Chinese network operators have built their own Data Centers (DCs) and so do not rely on external DC service providers. They even provide DC services to other cloud companies such as Alibaba, which makes the IDC expenses of their cloud business lower.
- The bandwidth cost of operator cloud business is significantly lower than that of other cloud companies because operators use their own network infrastructure, while other cloud companies need to pay operators for bandwidth and private network fees connecting different data centers.
- For the IaaS cloud business, if external DC and bandwidth are used, data center costs (DC services and bandwidth) will account for a considerable proportion of the total cost of the cloud company. Goldman cites QingCloud Technology as an example, its data center costs (including cabinets, bandwidth, etc.) account for 50%-60% of its total costs.
Looking ahead, the telcos are strongly placed to take advantage of the DeepSeek AI boom, thanks to their early embrace of DeepSeek and the government’s push to promote AI among the state-owned enterprises that account for about 30% of operator revenue, Goldman argues. The report states, “the state-owned enterprise background makes the deployment of AI/Deepseek by government agencies and state-owned enterprises more beneficial to telecom operators.”
In the past two weeks, China’s three major operators have begun to help important customers deploy DeepSeek models. China Mobile supports PetroChina in deploying a full-stack Deepseek model; China Telecom provides the same service to Sinopec; and China Unicom cooperates with the Foshan Municipal Bureau of Industry and Information Technology. More importantly, the State-owned Assets Supervision and Administration Commission of the State Council (SASAC) launched the “AI+” action plan on February 21 to encourage Chinese state-owned enterprises to accelerate the development and commercial application of AI. According to Goldman Sachs research, government-related customers account for about 30% of telecom operators’ cloud revenue. Therefore, the deployment of AI/DeepSeek by government agencies and state-owned enterprises will clearly benefit telecom operators.
Separately, China Mobile announced at Mobile World Congress 2025 in Barcelona that it is leveraging artificial intelligence to transform telecommunications networks and drive unprecedented data growth while positioning itself at the forefront of AI-Native network innovation. China Mobile Executive Vice President Li Huidi outlined the company’s ambitious “AI+NETWORK” strategy in a keynote address titled “AI+NETWORK, Pioneering the Digital-Intelligent Future” during the Global MBB Forum Top Talk Summit on Sunday.
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Li Huidi, executive vice president of China Mobile, speaks at the Global MBB Forum Top Talk Summit at Mobile World Congress in Barcelona, Spain, March 2, 2025. (Photo/China Mobile)
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References:
https://wallstreetcn.com/articles/3741901 (Chinese)
https://www.telecoms.com/partner-content/china-mobile-unveils-ai-network-strategy-at-mwc
https://www.lightreading.com/ai-machine-learning/china-telcos-rush-to-embrace-deepseek
China Telecom’s 2025 priorities: cloud based AI smartphones (?), 5G new calling (GSMA), and satellite-to-phone services
Quartet launches “Open Telecom AI Platform” with multiple AI layers and domains
At Mobile World Congress 2025, Jio Platforms (JPL), AMD, Cisco, and Nokia announced the Open Telecom AI Platform, a new project designed to pioneer the use of AI across all network domains. It aims to provide a centralized intelligence layer that can integrate AI and automation into every layer of network operations.
The AI platform will be large language model (LLM) agnostic and use open APIs to optimize functionality and capabilities. By collectively harnessing agentic AI and using LLMs, domain-specific SLMs and machine learning techniques, the Telecom AI Platform is intended to enable end-to-end intelligence for network management and operations. The founding quartet of companies said that by combining shared elements, the platform provides improvements across network security and efficiency alongside a reduction in total cost of ownership. The companies each bring their specific expertise to the consortium across domains including RAN, routing, AI compute and security.
Jio Platforms will be the initial customer. The Indian telco says it will be AI-agnostic and use open APIs to optimize functionality and capabilities. It will be able to make use of agentic AI, as well as large language models (LLMs), domain-specific small language models (SLMs), and machine learning techniques.
“Think about this platform as multi-layer, multi-domain. Each of these domains, or each of these layers, will have their own agentic AI capability. By harnessing agentic AI across all telco layers, we are building a multimodal, multidomain orchestrated workflow platform that redefines efficiency, intelligence, and security for the telecom industry,” said Mathew Oommen, group CEO, Reliance Jio.
“In collaboration with AMD, Cisco, and Nokia, Jio is advancing the Open Telecom AI Platform to transform networks into self-optimising, customer-aware ecosystems. This initiative goes beyond automation – it’s about enabling AI-driven, autonomous networks that adapt in real time, enhance user experiences, and create new service and revenue opportunities across the digital ecosystem,” he added.
On top of Jio Platforms’ agentic AI workflow manager is an AI orchestrator which will work with what is deemed the best LLM. “Whichever LLM is the right LLM, this orchestrator will leverage it through an API framework,” Oomen explained. He said that Jio Platforms could have its first product set sometime this year.
Under the terms of the agreement, AMD will provide high-performance computing solutions, including EPYC CPUs, Instinct GPUs, DPUs, and adaptive computing technologies. Cisco will contribute networking, security, and AI analytics solutions, including Cisco Agile Services Networking, AI Defense, Splunk Analytics, and Data Center Networking. Nokia will bring expertise in wireless and fixed broadband, core networks, IP, and optical transport. Finally, Jio Platforms Limited (JPL) will be the platform’s lead organizer and first adopter. It will also provide global telecom operators’ initial deployment and reference model. 
The Telecom AI Platform intends to share the results with other network operators (besides Jio).
“We don’t want to take a few years to create something. I will tell you a little secret, and the secret is Reliance Jio has decided to look at markets outside of India. As part of this, we will not only leverage it for Jio, we will figure out how to democratize this platform for the rest of the world. Because unlike a physical box, this is going to be a lot of virtual functions and capabilities.”
AMD represents a lower-cost alternative to Intel and Nvidia when it comes to central processing units (CPUs) and graphics processing units (GPUs), respectively. For AMD, getting into a potentially successful telco platform is a huge success. Intel, its arch-rival in CPUs, has a major lead with telecom projects (e.g. cloud RAN and OpenRAN), having invested massive amounts of money in 5G and other telecom technologies.
AMD’s participation suggests that this JPL-led group is looking for hardware that can handle AI workloads at a much lower cost then using NVIDIA GPUs.
“AMD is proud to collaborate with Jio Platforms Limited, Cisco, and Nokia to power the next generation of AI-driven telecom infrastructure,” said Lisa Su, chair and CEO, AMD. “By leveraging our broad portfolio of high-performance CPUs, GPUs, and adaptive computing solutions, service providers will be able to create more secure, efficient, and scalable networks. Together we can bring the transformational benefits of AI to both operators and users and enable innovative services that will shape the future of communications and connectivity.”
Jio will surely be keeping a close eye on the cost of rolling out this reference architecture when the time comes, and optimizing it to ensure the telco AI platform is financially viable.
“Nokia possesses trusted technology leadership in multiple domains, including RAN, core, fixed broadband, IP and optical transport. We are delighted to bring this broad expertise to the table in service of today’s important announcement,” said Pekka Lundmark, President and CEO at Nokia. “The Telecom AI Platform will help Jio to optimise and monetise their network investments through enhanced performance, security, operational efficiency, automation and greatly improved customer experience, all via the immense power of artificial intelligence. I am proud that Nokia is contributing to this work.”
Cisco chairman and CEO Chuck Robbins said: “This collaboration with Jio Platforms Limited, AMD and Nokia harnesses the expertise of industry leaders to revolutionise networks with AI.
“Cisco is proud of the role we play here with integrated solutions from across our stack including Cisco Agile Services Networking, Data Center Networking, Compute, AI Defence, and Splunk Analytics. We look forward to seeing how the Telecom AI Platform will boost efficiency, enhance security, and unlock new revenue streams for service provider customers.”
If all goes well, the Open Telecom AI Platform could offer an alternative to Nvidia’s AI infrastructure, and give telcos in lower-ARPU markets a more cost-effective means of imbuing their network operations with the power of AI.
References:
https://www.telecoms.com/ai/jio-s-new-ai-club-could-offer-a-cheaper-route-into-telco-ai
Does AI change the business case for cloud networking?
For several years now, the big cloud service providers – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud – have tried to get wireless network operators to run their 5G SA core network, edge computing and various distributed applications on their cloud platforms. For example, Amazon’s AWS public cloud, Microsoft’s Azure for Operators, and Google’s Anthos for Telecom were intended to get network operators to run their core network functions into a hyperscaler cloud.
AWS had early success with Dish Network’s 5G SA core network which has all its functions running in Amazon’s cloud with fully automated network deployment and operations.
Conversely, AT&T has yet to commercially deploy its 5G SA Core network on the Microsoft Azure public cloud. Also, users on AT&T’s network have experienced difficulties accessing Microsoft 365 and Azure services. Those incidents were often traced to changes within the network’s managed environment. As a result, Microsoft has drastically reduced its early telecom ambitions.
Several pundits now say that AI will significantly strengthen the business case for cloud networking by enabling more efficient resource management, advanced predictive analytics, improved security, and automation, ultimately leading to cost savings, better performance, and faster innovation for businesses utilizing cloud infrastructure.
“AI is already a significant traffic driver, and AI traffic growth is accelerating,” wrote analyst Brian Washburn in a market research report for Omdia (owned by Informa). “As AI traffic adds to and substitutes conventional applications, conventional traffic year-over-year growth slows. Omdia forecasts that in 2026–30, global conventional (non-AI) traffic will be about 18% CAGR [compound annual growth rate].”
Omdia forecasts 2031 as “the crossover point where global AI network traffic exceeds conventional traffic.”
Markets & Markets forecasts the global cloud AI market (which includes cloud AI networking) will grow at a CAGR of 32.4% from 2024 to 2029.
AI is said to enhance cloud networking in these ways:
- Optimized resource allocation:
AI algorithms can analyze real-time data to dynamically adjust cloud resources like compute power and storage based on demand, minimizing unnecessary costs. - Predictive maintenance:
By analyzing network patterns, AI can identify potential issues before they occur, allowing for proactive maintenance and preventing downtime. - Enhanced security:
AI can detect and respond to cyber threats in real-time through anomaly detection and behavioral analysis, improving overall network security. - Intelligent routing:
AI can optimize network traffic flow by dynamically routing data packets to the most efficient paths, improving network performance. - Automated network management:
AI can automate routine network management tasks, freeing up IT staff to focus on more strategic initiatives.
The pitch is that AI will enable businesses to leverage the full potential of cloud networking by providing a more intelligent, adaptable, and cost-effective solution. Well, that remains to be seen. Google’s new global industry lead for telecom, Angelo Libertucci, told Light Reading:
“Now enter AI,” he continued. “With AI … I really have a power to do some amazing things, like enrich customer experiences, automate my network, feed the network data into my customer experience virtual agents. There’s a lot I can do with AI. It changes the business case that we’ve been running.”
“Before AI, the business case was maybe based on certain criteria. With AI, it changes the criteria. And it helps accelerate that move [to the cloud and to the edge],” he explained. “So, I think that work is ongoing, and with AI it’ll actually be accelerated. But we still have work to do with both the carriers and, especially, the network equipment manufacturers.”
Google Cloud last week announced several new AI-focused agreements with companies such as Amdocs, Bell Canada, Deutsche Telekom, Telus and Vodafone Italy.
As IEEE Techblog reported here last week, Deutsche Telekom is using Google Cloud’s Gemini 2.0 in Vertex AI to develop a network AI agent called RAN Guardian. That AI agent can “analyze network behavior, detect performance issues, and implement corrective actions to improve network reliability and customer experience,” according to the companies.
And, of course, there’s all the buzz over AI RAN and we plan to cover expected MWC 2025 announcements in that space next week.
https://www.lightreading.com/cloud/google-cloud-doubles-down-on-mwc
Nvidia AI-RAN survey results; AI inferencing as a reinvention of edge computing?
The case for and against AI-RAN technology using Nvidia or AMD GPUs
Generative AI in telecom; ChatGPT as a manager? ChatGPT vs Google Search
Deutsche Telekom and Google Cloud partner on “RAN Guardian” AI agent
Deutsche Telekom and Google Cloud today announced a new partnership to improve Radio Access Network (RAN) operations through the development of a network AI agent. Built using Gemini 2.0 in Vertex AI from Google Cloud, the agent can analyze network behavior, detect performance issues, and implement corrective actions to improve network reliability, reduce operational costs, and enhance customer experiences.
Deutsche Telekom says that as telecom networks become increasingly complex, traditional rule-based automation falls short in addressing real-time challenges. The solution is to use Agentic AI which leverages large language models (LLMs) and advanced reasoning frameworks to create intelligent agents that can think, reason, act, and learn independently.
The RAN Guardian agent, which has been tested and verified at Deutsche Telekom, collaborates in a human-like manner, detecting network anomalies and executing self-healing actions to optimize RAN performance. It will be exhibited at next week’s Mobile World Congress (MWC) in Barcelona, Spain.
–>This cooperative initiative appears to be a first step towards building autonomous and self-healing networks.
In addition to Gemini 2.0 in Vertex AI, the RAN Guardian also uses CloudRun, BigQuery, and Firestore to help deliver:
- Autonomous RAN performance monitoring: The RAN Guardian will continuously analyze key network parameters in real time to predict and detect anomalies.
- AI-driven issue classification and routing: The agent will identify and prioritize network degradations based on multiple data sources, including network monitoring data, inventory data, performance data, and coverage data.
- Proactive network optimization: The agent will also recommend or autonomously implement corrective actions, including resource reallocation and configuration adjustments.
“By combining Deutsche Telekom’s deep telecom expertise with Google Cloud’s cutting-edge AI capabilities, we’re building the next generation of intelligent networks,” said Angelo Libertucci, Global Industry Lead, Telecommunications, Google Cloud. “This means fewer disruptions, faster speeds, and an overall enhanced mobile experience for Deutsche Telekom’s customers.”
“Traditional network management approaches are no longer sufficient to meet the demands of 5G and beyond. We are pioneering AI agents for networks, working with key partners like Google Cloud to unlock a new level of intelligence and automation in RAN operations as a step towards autonomous, self-healing networks” said Abdu Mudesir, Group CTO, Deutsche Telekom.
Mr. Mudesir and Google Cloud’s Muninder Sambi will discuss the role of AI agents in the future of network operations at MWC next week.
References:
https://www.telecoms.com/ai/deutsche-telekom-and-google-cloud-team-up-on-ai-agent-for-ran-operations
Nvidia AI-RAN survey results; AI inferencing as a reinvention of edge computing?
The case for and against AI-RAN technology using Nvidia or AMD GPUs
AI RAN Alliance selects Alex Choi as Chairman
AI sparks huge increase in U.S. energy consumption and is straining the power grid; transmission/distribution as a major problem
Ookla: Europe severely lagging in 5G SA deployments and performance
According to a new joint study from Omdia and Ookla, Europe has had the poorest 5G SA availability and performance among major regions. In Q4 2024, China (80%), India (52%), and the United States (24%) led the world in 5G SA availability based on Speedtest® sample share, markedly ahead of Europe (2%).
The European region also lagged behind its peers in performance, with the median European consumer experiencing 5G SA download speeds of 221.17 Mbps—lower than those in the Americas (384.42 Mbps) and both Developed (237.04 Mbps) and Emerging (259.73 Mbps) Asia Pacific. The interplay of earlier deployments, a more diversified multi-band spectrum strategy, and greater operator willingness to invest in the 5G core to monetize new use cases have driven rollouts at a faster pace in regions outside Europe.
The European Commission has championed measures to accelerate private investment in 5G SA, highlighting network slicing—a flagship capability of cloud-native core networks—as a key potential driver of its broader industrial strategy in sectors such as precision manufacturing, defense and clean energy. Up until this point, high-quality public data examining Europe’s progress in 5G SA—and benchmarking its competitive position relative to other global regions—has been scarce. In its latest annual report, Connect Europe, the trade body representing Europe’s telecoms operators, noted that “there is limited information available about the extent of operators’ rollout of 5G SA.”
Advanced network capabilities enabled by the technology remain stubbornly limited to just a few operators in leading markets such as the U.S., according to the study, while Europe lags behind its peers on several 5G SA performance indicators, “raising concerns about the bloc’s competitiveness in the technology.”
Network operator investment per capita also lags in Europe as per the below chart:
When faced with choices among investments in fiber, 5G RAN, and 5G SA core, the latter frequently loses out, since operators can still launch a “5G” network by leveraging alternative technologies. There is also a lack of 5G SA-compatible devices, especially devices with User Equipment Routing Selection Policy (URSP) technology, which allows a device to dynamically select a slice (or multiple slices) provisioned by an operator. However, only Android 12/iOS 17 mobile devices support that largely unknown technology.
While capital spending on the 5G core transition is now increasing rapidly, European network operators will remain committed to strict cost discipline Based on Omdia’s Q3 2024 quarterly core software market share and forecast, the research firm believes that the global core market revenue from both 4G and 5G network functions will grow with a five-year CAGR of 3.2% between 2023 and 2028. When considering the spending in 5G core software, the forecasted growth with a five-year CAGR during the same period is of 17.0%.
Omdia now forecasts that 5G SA core spending in EMEA will grow with a five-year CAGR of 26.2% between 2023 and 2028. Nonetheless, as a prerequisite, deploying the 5G core also requires a good 5G radio coverage, to avoid a degraded experience where the 5G coverage is limited or nonexistent, and where the user falls back on 4G-LTE or 2G/3G. This means operators must invest in 5G RAN, which is usually considered the highest capex draining activity for an operator. While 5G is known for very high throughput speeds using mid-band (and particularly C-band) spectrum, these bands need to be complemented by sub-GHz spectrum deployment, in order to offer improved in-building and wide area coverage. This rollout has been slow in many European markets, with 5G availability in all countries outside the Nordics remaining significantly lower than that in the United States and China, according to Ookla’s Q4 2024 Speedtest Intelligence® data.
One bright spot is that Europe has made progress on achieving low latency on its 5G networks. In Q4 2024, the average country-wide median latency in Europe was 32 milliseconds (ms) compared to 35 ms in the Americas and 36 ms in Emerging Asia Pacific region.
References:
https://www.lightreading.com/5g/eurobites-europe-behind-on-5g-sa-study
https://www.ookla.com/s/media/2025/02/ookla_omdia-5GSA_0225.pdf
Building and Operating a Cloud Native 5G SA Core Network
Latest Ericsson Mobility Report talks up 5G SA networks and FWA
GSA 5G SA Core Network Update Report
ABI Research: Expansion of 5G SA Core Networks key to 5G subscription growth
Vision of 5G SA core on public cloud fails; replaced by private or hybrid cloud?
Nokia and Eolo deploy 5G SA mmWave “Cloud RAN” network
Nokia, BT Group & Qualcomm achieve enhanced 5G SA downlink speeds using 5G Carrier Aggregation with 5 Component Carriers
Broadband Forum new work areas to enable broadband services & apps
The Broadband Forum has realigned its work areas to ensure every new project and specification focuses on enabling services-led and intelligent broadband that provides the applications and services most demanded by users.
The Forum’s five work areas will cover topics including access networks, connected users and subscriber networks, network architecture, cloud and autonomous networks, and most importantly service requirements helping to direct that work. They will be supported by an advisory group providing the necessary expertise to produce high-quality YANG data models and management specifications.
The work areas and advisory group will be led by directors from Adtran, Calix, China Mobile, Deutsche Telekom, Huawei, Nokia, QA Cafe, Vantiva, and Vodafone.
Overview of the New Work Areas:
- Access Work Area – Focuses on delivering multi-vendor interoperability for last-mile broadband deployments across fiber, copper, and wireless networks.
- Connected User Work Area – Develops specifications for the deployment, management, and consumption of services by end-users.
- Network Architecture Work Area – Develops the architecture and nodal requirements for end-to-end broadband deployments across traditional and converged networks to ensure the best possible quality of experience for users.
- Provider Cloud Work Area – Develops frameworks and specifications to enable broadband services and networks to utilize cloud-based deployment approaches, including automation and autonomous systems that leverage machine learning and AI.
- Service Requirements Work Area – Defines user-centric, actionable service requirements and specifications for subscriber, access, and Broadband Service Providers’ (BSPs’) core networks.
The first official meetings of the new work areas will take place at the Broadband Forum’s Spring Meeting in Hong Kong on March 11-14, 2025.
Quotes:
“The broadband industry’s focus remains firmly on delivering a richer, more tailored broadband experience for the end-user rather than fast speeds alone,” said Broadband Forum CEO Craig Thomas. “Our new work areas reflect this, giving members from across the globe the opportunity to come together and develop the most relevant readily-adoptable broadband specifications. The intention is to simplify the organization and how our members can integrate in standards work to deliver a more effective and services driven broadband user experience. We invite companies, small and large, to join our efforts.”
Manual Paul (BBF Board President, Service Requirements Work Area Director, and Squad Lead Network Convergence at Deutsche Telekom) from his blog post about the importance of this new Work Area aligning with the Services-led focus of the Broadband Forum:
“Broadband Forum’s Service Requirements Work Area has been established to identify user needs and the technical innovation required to address them, to ultimately help BSPs deliver greater value to their customers. Aligned with the Broadband Forum’s strong focus on services-led broadband, the work area aims to guide the industry in driving innovation and adapting to evolving needs – such as a move away from the speed-first approach and place greater focus on QoE.”
At the bottom of that post, there is a link to the webinar that he led where he talks about the Service Requirements Work Area
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About the Broadband Forum:
The Broadband Forum is an industry-driven global standards development organization helping operators, application providers, and vendors deliver better, services-led broadband.
As the industry-recognized center of competence, the Broadband Forum provides an accessible, efficient, and effective community where all broadband stakeholders can collaborate on, develop, and promote open standards and open software. This provides the basis for deployable solutions for the global broadband industry.
The forum publishes interoperable standards and open software, has launched certification programs, and promotes industry education. These best practices and models can be adopted to help realize an effective broadband ecosystem that drives a thriving, services-led broadband industry based on global collaboration, open standards, and open source, maximizing value for all stakeholders.
For more information, visit https://www.broadband-forum.org/
References:
2025.02.19 – Broadband Forum renews commitment to services-led broadband with new work areas
Bridging the gap between user needs and technical innovation for services-led broadband
https://broadband-forum.org/download/2025_02_18_BBF%20Service%20Requirements%20WA_webinar.pdf
https://wiki.broadband-forum.org/display/RESOURCES/Broadband+Forum+Published+Resources
Broadband Forum SDN/NFV Work Area launches four new projects at Bangkok Q4-2023 meeting
Broadband Forum and LAN Laboratory Expand Certification Program to include XGS-PON
Nvidia AI-RAN survey results; AI inferencing as a reinvention of edge computing?
An increasing focus on deploying AI into radio access networks (RANs) was among the key findings of NVIDIA’s third annual “State of AI in Telecommunications” survey of 450 telecom professionals, as more than a third of respondents indicated they’re investing or planning to invest in AI-RAN. The survey polled more than 450 telecommunications professionals worldwide, revealing continued momentum for AI adoption — including growth in generative AI use cases — and how the technology is helping optimize customer experiences and increase employee productivity. The percentage of network operators planning to use open source tools increased from 28% in 2023 to 40% in 2025. AvidThink Founder and Principal Roy Chua said one of the biggest challenges network operators will have when using open source models is vetting the outputs they get during training.
Of the telecommunications professionals surveyed, almost all stated that their company is actively deploying or assessing AI projects. Here are some top insights on impact and use cases:
- 84% said AI is helping to increase their company’s annual revenue
- 77% said AI helped reduce annual operating costs
- 60% said increased employee productivity was their biggest benefit from AI
- 44% said they’re investing in AI for customer experience optimization, which is the No. 1 area of investment for AI in telecommunications
- 40% said they’re deploying AI into their network planning and operations, including RAN
The percentage of respondents who indicated they will build AI solutions in-house rose from 27% in 2024 to 37% this year. “Telcos are really looking to do more of this work themselves,” Nvidia’s Global Head of Business Development for Telco Chris Penrose [1.] said. “They’re seeing the importance of them taking control and ownership of becoming an AI center of excellence, of doing more of the training of their own resources.”
With respect to using AI inferencing, Chris said, “”We’ve got 14 publicly announced telcos that are doing this today, and we’ve got an equally big funnel.” Penrose noted that the AI skills gap remains the biggest hurdle for operators. Why? Because, as he put it, just because someone is an AI scientist doesn’t mean they are also necessarily a generative AI or agentic AI scientist specifically. And in order to attract the right talent, operators need to demonstrate that they have the infrastructure that will allow top-tier employees to do amazing work. See also: GPUs, data center infrastructure, etc.
Note 1. Penrose represented AT&T’s IoT business for years at various industry trade shows and events before leaving the company in 2020.
Rather than the large data centers processing AI Large Language Models (LLMs), AI inferencing could be done more quickly at smaller “edge” facilities that are closer to end users. That’s where telecom operators might step in. “Telcos are in a unique position,” Penrose told Light Reading. He explained that many countries want to ensure that their AI data and operations remain inside the boundaries of that country. Thus, telcos can be “the trusted providers of [AI] infrastructure in their nations.”
“We’ll call it AI RAN-ready infrastructure. You can make money on it today. You can use it for your own operations. You can use it to go drive some services into the market. … Ultimately your network itself becomes a key anchor workload,” Penrose said.
Source: Skorzewiak/Alamy Stock Photo
Nvidia proposes that network operators can not only run their own AI workloads on Nvidia GPUs, they can also sell those inferencing services to third parties and make a profit by doing so. “We’ve got lots of indications that many [telcos] are having success, and have not only deployed their first [AI compute] clusters, but are making reinvestments to deploy additional compute in their markets,” Penrose added.
Nvidia specifically pointed to AI inferencing announcements by Singtel, Swisscom, Telenor, Indosat and SoftBank.
Other vendors are hoping for similar sales. “I think this vision of edge computing becoming AI inferencing at the end of the network is massive for us,” HPE boss Antonio Neri said last year, in discussing HPE’s $14 billion bid for Juniper Networks.
That comes after multi-access edge computing (MEC) has not lived up to its potential, partially because a 5G SA core network is needed for that and few have been commercially deployed. Edge computing disillusionment is clear among hyperscalers and also network operators. For example, Cox folded its edge computing business into its private networks operation. AT&T no longer discusses the edge computing locations it was building with Microsoft and Google. And Verizon has admitted to edge computing “miscalculations.”
Will AI inferencing be the savior for MEC? The jury is out on that topic. However, Nvidia said that 40% of its revenues already come from AI inferencing. Presumably that inferencing is happening in larger data centers and then delivered to nearby users. Meaning, a significant amount of inferencing is being done today without additional facilities, distributed at a network’s edge, that could enable speedier, low-latency AI services.
“The idea that AI inferencing is going to be all about low-latency connections, and hence stuff like AI RAN and and MEC and assorted other edge computing concepts, doesn’t seem to be a really good fit with the current main direction of AI applications and models,” argued Disruptive Wireless analyst Dean Bubley in a Linked In post.
References:
https://blogs.nvidia.com/blog/ai-telcos-survey-2025/
State of AI in Telecommunications
https://www.fierce-network.com/premium/whitepaper/edge-computing-powered-global-ai-inference
https://www.fierce-network.com/cloud/are-ai-services-telcos-magic-revenue-bullet
The case for and against AI-RAN technology using Nvidia or AMD GPUs
Ericsson’s sales rose for the first time in 8 quarters; mobile networks need an AI boost
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Tata Consultancy Services: Critical role of Gen AI in 5G; 5G private networks and enterprise use cases
Omdia: Huawei increases global RAN market share due to China hegemony
Due to China’s enormous mobile network market (where foreign vendors are mostly shut out), Huawei remained the world’s largest vendor of radio access network (RAN) equipment – a market worth about $35 billion last year – according to Omdia (an Informa owned company). In 2023, the Chinese behemoth had a 31.3% share of the global RAN market. Omdia says Huawei’s market share was up by an unspecified amount in 2024, due to “a more favorable regional mix as well as market share gains in emerging markets,” according to Remy Pascal, principal analyst at Omdia.
Huawei recently reported a 22% increase in sales last year, to 860 billion Chinese yuan (US$ 118.6 billion), and it looks in better shape than its ailing western rivals. Its share of the global 5G networks market appears to have grown, according to the market research firm.
Omdia’s findings seems further to highlight the futility of U.S. sanctions against Huawei, originally imposed by Donald Trump in his first term as U.S. President and then expanded by President Joe Biden.
Image Credit: Huawei
China still lacks the ability to make the most advanced chips featuring the tiniest transistors. But technical workarounds or loopholes in trade rules have enabled Huawei to revive its smartphone business and remain competitive in networks. Late last year, telco executives who spoke on condition of anonymity said there had been no discernible impact on the quality of its products. And Ericsson continues to regard Huawei as its chief rival.
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“After two years of significant acceleration and exceptionally high investment in 2021 and 2022, and two years of steep decline in 2023 and 2024, Omdia expects 2025 to be a year of stabilization for the RAN market,” said Remy Pascal of Omdia. “Different regions will follow different trajectories, but at a global level, the market is expected to be flattish. North America has returned to growth in 2024 and we expect this to continue, we also expect a positive trajectory in some emerging markets.”
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Other results and forecasts from Omdia:
- The total global RAN market (which includes hardware and software but not services) was just over $35 billion last year, which represented a 12 percent decline on the previous year.
- There was a very slight drop in the aggregate market share of the top five RAN equipment vendors – Huawei, Ericsson, Nokia, ZTE and Samsung. In 2023, Omdia had that figure at about 95%. In 2024, it was roughly 94%.
- Ericsson was one of the main gainers last year thanks to its huge AT&T (non) OpenRAN contract.
- As a result, Nokia lost market share in the U.S., but claims that its global RAN footprint grew by 18,000 sites in 2024.
- Tejas Networks, an Indian RAN equipment vendor (not in the top five) that landed a large 4G contract with state-owned BSNL was another winner.
- Global RAN revenue will be “essentially flat” this year and marked by “low single digit percentage growth” outside China.
- A “positive trajectory” in emerging Asian markets as well as Africa, the Middle East and Latin America is forecast. Europe risks falling behind other parts of the world in mobile network markets.
Top RAN vendors, full year 2024 RAN revenue:
|
Global |
Global ex-China |
|---|---|
|
Huawei |
Ericsson |
|
Ericsson |
Nokia |
|
Nokia |
Huawei |
|
ZTE |
Samsung |
|
Samsung |
ZTE |
Top RAN vendors, full year 2024 RAN revenue, top 3 by region:
|
North America |
Asia & Oceania |
Europe |
Middle East and Africa |
Latin America & the Caribbean |
|---|---|---|---|---|
|
Ericsson |
Huawei |
Ericsson |
Huawei |
Huawei |
|
Nokia |
ZTE |
Nokia |
Nokia |
Ericsson |
|
Samsung |
Ericsson |
Huawei |
Ericsson |
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Dell’Oro Group’s most recent RAN report a few weeks ago stated that the global RAN market is expected to improve slightly over the short term, but the long-term outlook remains subdued. “The underlying message we have communicated for some time has not changed,” said Stefan Pongratz, Vice President for RAN market research at Dell’Oro Group. “Regional imbalances will impact the market dynamics over the short term while the long-term trajectory remains flat. This is predicated on the assumption that new RAN revenue streams from private wireless and FWA, taken together with MBB-based capacity growth, are not enough to offset slower MBB coverage-based capex,” said Dell’Oro’s Stefan Pongratz.
References:
https://www.lightreading.com/5g/huawei-defies-us-to-grow-market-share-as-ran-decline-ends-omdia
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ITU-R WP 5D reports on: IMT-2030 (“6G”) Minimum Technology Performance Requirements; Evaluation Criteria & Methodology
At its ITU-R WP5D February 2025 meeting, a large number of ITU-R WP 5D contributions were discussed on the development of a draft document titled, “Minimum technical performance requirements (TPRs) for IMT‑2030 (“6G”) radio interface(s) [IMT-2030.TECH PERF REQ].” That work is being done in the Technology Aspects WG along with all other IMT-2030 projects.
This Report describes key requirements related to the minimum technical performance of IMT-2030 candidate radio interface technologies. It also provides the necessary background information about the individual requirements and the justification for the items and values chosen. Provision of such background information is needed for a broader understanding of the requirements. After discussion of the contributions, a preliminary list of minimum TPRs is created, and the working document is updated. In total eleven sessions were used including three Drafting Groups to address requirements related to artificial intelligence, energy efficiency and joint requirements. This Report is based on the ongoing development activities of external research and technology organizations. These key technical performance requirements are used in the development of Report IMT-2030.EVAL.
This WP5D meeting also discussed contributions on “Evaluation criteria and methodology for IMT-2030″ [IMT-2030.EVAL] and updated the working document. The discussion focused on a number of subjects including test environments, mapping between TPR and test environments, and a high-level view of TPR evaluation methodologies.
WP5D SWG Coordination started the work of revision of the Document IMT-2030/2 – Submission, evaluation process and consensus building, in order to incorporate decisions to be made on criterial related to test environments and other subjects.
At its next meeting, WP5D Technology Aspects WG will:
- continue working on revision of IMT-2030/2 “Process” – submission, evaluation process and consensus building process for IMT-2030;
- start to work on candidate technology submission template for IMT-2030;
- continue working on ITU-R M.[IMT-2030.TECH PERF REQ] – minimum requirements related to technical performance for IMT-2030 radio interface(s);
- continue working on M.[IMT-2030.EVAL] – Guidelines for evaluation of radio interface technologies for IMT-2030;
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During 3GPP Technical Specification Group RAN’s meeting RAN#106, in Madrid on December 12th, an important 6G study item was approved. The study represents a significant milestone in 3GPP’s interactions with ITU on 6G technical performance requirements (TPRs) as future, deployment scenarios, requirements and potential directions of 6G radio access technologies are further identified and investigated in 3GPP. The 3GPP study item (Details in RP-243327) aims to investigate a candidate set of items for minimum TPRs based on the Recommendation ITU-R M.2160 and, where applicable, the associated target values and key assumptions for the identified minimum TPRs.
The outcome is expected to be shared by Liaison Statement with ITU-R WP5D and used as a baseline for the subsequent 6G study in RAN.
Expected Output and Time scale: A 38 series Technical Report ‘Study on 6G Scenarios and requirements’ scheduled for RAN#112 in June, 2026.
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References:
ITU-R: IMT-2030 (6G) Backgrounder and Envisioned Capabilities
ITU-R WP5D invites IMT-2030 RIT/SRIT contributions
NGMN issues ITU-R framework for IMT-2030 vs ITU-R WP5D Timeline for RIT/SRIT Standardization
IMT-2030 Technical Performance Requirements (TPR) from ITU-R WP5D
https://www.3gpp.org/news-events/3gpp-news/ran-6g-study1
Ericsson and e& (UAE) sign MoU for 6G collaboration vs ITU-R IMT-2030 framework
