It is well to be noted that the platform is designed to enable operators to provide AI services such as mobile data plans and charging usage based on tokens via current customer billing systems. Mavenir said operators will still have control when it comes to pricing, service-level contracts, and the models that fundamentally support the interactions with AI.

As per Mavenir, integrated AI platform for telecom operators is compatible with three operating models. They may employ it to deliver custom-branded AI services to subscribers, provide an AI infrastructure foundation for AI grid deployments, or offer managed AI features to enterprise customers on a token-based consumption basis.

Notably, the system is built on Red Hat AI and Kubernetes infrastructure via Red Hat OpenShift. The architecture is built to offer operators a versatile, sovereignty-centric platform that can run on-premises models as well as custom small language models when it comes to routine workloads, remarks Mavenir.

In addition to this, the platform also provides policy-controlled access to external frontier AI models for operations that require advanced logic or multi-modal abilities. Mavenir says operators can choose which model is taking which demand, who is paying for it, and how it is going to be billed.

Mavenir says token-based AI consumption goes on to act as familiar data-usage models, which implies that operators can make use of standard billing and service management systems so as to establish new revenue streams from AI. AI token plans that are monthly and enterprise quotas as well as SLA-backed AI service tiers could go on to open a new layer of monetization on top of connectivity, it said.

The combined AI platform integrates the AI software platform from Mavenir with enterprise Kubernetes along with the AI capabilities of Red Hat, running on verified hardware from third-party partners. The platform boasts intelligent model routing, token optimization, AI platform-as-a-service as well as MLOps capabilities, billing integration, token charging, closed-loop service assurance, and zero-trust identity controls as well as AI-specific security.

When it comes to enterprise customers, the platform allows operators to provide fee-based access to AI models, compute resources, and AI tools as value-added services. Operators can make use of it as the compute and AI fabric for network-embedded AI applications as well as third-party workloads to deploy an AI grid.

Operators can also use the platform to offer AI-powered products directly to subscribers, such as AI assistant plans charged by token consumption and AI-enhanced network services as well as operator-branded AI apps.

Mavenir says the platform is intended to promote new AI revenue streams, foreseeable AI economics, data privacy, and contract SLAs for operator-managed AI services, as well as enterprise-grade security. The company will present the platform at DTW Ignite 2026 on 23-25 June.

Let’s be honest – with the rise of AI services, telecom companies are looking for ways to get more than just connectivity revenue. Token-based billing would enable operators to bundle AI services in a conventional commercial model, leveraging prevailing client relationships, billing platforms, and service level agreements.

The announcement also marks an overall change in AI infrastructure. By integrating on-premises models with independent data controls and limited access to frontier models, operators can become AI service providers for consumers and enterprises as well as network-embedded applications and not just connectivity providers.

Traditional networks go on to deliver data in bits, which results in high investments in terms of infrastructure and energy. Semantic communication, on the other hand, emphasizes comprehending messages, not exact replication. This new approach could as well help cut down on data traffic and infrastructure expenses, offering a greener solution.

The possible effect on artificial intelligence is deep. Imagine if AI agents could share summaries or abstracted information; it could go ahead and revolutionize efficiency in communication.

The CEA has built a strong reputation in the field of semantic communications, in particular by means of progress in AI, signal processing, and network intelligence. They are involved in European and Asian projects, such as those of the Future Networks as well as France 6G programs. Their continued contributions can be noted in projects such as 6G-GOALS and 6G-DISAC as well as 6GARROW.

The fact is that Orange has clearly mapped out its roadmap for the future network ecosystem. The group is actively involved in research and standards formation with a large number of researchers, along with active patents. They participate in some of the flagship initiatives such as the SUSTAIN-6G and Hexa-X projects and world alliances.

This partnership is another sign of commitment from Orange to lead tomorrow’s standards. It is about reducing future carbon footprints of the company while at the same time enhancing the performance of infrastructure, opines the executive vice president of research at Orange, Lyse Brillouet.

Anne-Isabelle Etienvre, who is the general administrator of CEA, agrees. She sees the revolutionary potential of semantic communications. The involvement of CEA is an important step forward in allowing Europe to shape technological architectures and to strengthen the technological sovereignty of the continent.

This partnership between Orange and CEA can be seen as a major step forward in the advancement of telecommunications and could as well set standards for global innovation along with sustainability.

The company is seeking to make the implementation of AI infrastructure easier by acting as a single provider when it comes to data centres, power generation, connectivity, and associated infrastructure.

Helix is going to meet the increasing demand from hyperscalers as the increase in investment across the digital infrastructure is driven through AI workloads.

Helix Digital Infrastructure with $10bn will be led by Adam Selipsky, who was the former Amazon Web Services CEO. Selipsky will lead as CEO while KKR Global Head of Digital Infrastructure Waldemar Szlezak will join as chief investment officer.

The company said it planned to invest in transmission infrastructure, fibre networks, and hyperscale data centres as well as power generation. Nvidia will be a strategic technology partner to assist with deployments built on its AI factory architecture, and Vistra will be the chosen power supplier for Helix.

KKR said the launch comes as AI happens to be driving one of the largest infrastructure constructions in history, with the need for data centres and electricity rising exponentially. Industry estimates say that trillions of dollars will be needed worldwide in the next decade in order to support AI-related infrastructure.

According to Helix, it will provide hyperscalers a more uniform approach to infrastructure installation, reducing the complexity of engaging with multiple vendors throughout power and connectivity as well as data centre construction.

As per the CEO of Nvidia, Jensen Huang, the demand for AI infrastructure is continuing to rise rapidly as cloud providers compete to boost AI capacity.

Notably, the company is supported by KKR’s infrastructure platform, which holds over US$100 billion in infrastructure assets worldwide. Following the first round of funding, Helix remarked that it is accessible to more institutional investors.

Introducing Ericsson AI in RAN

• AI models for telcos designed to run in real time inside the radio access network – RAN
• High-quality data for persistent learning software at scale.
• Agentic AI support to help with advanced RAN automation as well as network operations

According to Head of Networks Strategy & Product Management at Ericsson, Mårten Lerner, “Ericsson is redefining what’s possible in mobile networks by bringing powerful AI capabilities to service providers. With AI in RAN software, we are taking a major step toward AI-native networks, alongside the AI-ready radios we unveiled in February.”

The telco-grade AI models from Ericsson are optimized for ultra-low latency estimation in the microsecond range, with high robustness and dependability in varied and dynamic RAN environments. These models combine deep domain knowledge with training in terms of high-quality data, setting new standards as far as performance and efficiency are concerned.

Lerner adds that “service providers need networks that are high-performing, secure, and efficient in the AI era. With AI in RAN, Ericsson is bringing AI into networks to elevate 5G performance and efficiency through energy-efficient AI inference at scale.”

Have Been Proven in Commercial network deployments

Ericsson AI in RAN works along with Ericsson 5G Advanced on both purpose-built as well as cloud RAN platforms so as to unlock new AI-powered services. It represents the realization of the AI from the company for networks’ vision, using AI to improve the performance and productivity of networks. The aim for AI in RAN is to employ the right AI model in the correct section of the radio network, with Ericsson Silicon to drive energy-efficient AI inference within radios, and the most recent versions of RAN Compute and the portability of cloud RAN software mean AI capabilities can be implemented across partner platforms.

It is well to be noted that the first AI in RAN features will be available in Q2 2026, with additional enhancements coming later in 2026 itself. Software features involve AI-powered macro positioning, an AI-native scheduler for link adaptation, AI-managed beamforming, performance management event schema files, AI-powered multi-layer coordination, and augmented observability for AI in RAN.

AI in RAN from Ericsson is indeed proven in over 15 deployments and trials throughout the globe, offering up to 20% higher downlink speed and up to 10% better spectral performance. It also enables as much as 2x more high-traffic users, 90-95% accuracy of predictions of coverage, and almost 5x greater accuracy of user positioning.

As per Senior Vice President & CNO, SoftBank Corp., Teruyuki Oya, “Ericsson’s AI in RAN software marks an important step in bringing AI deeper into the radio access network. By enabling real-time optimization of radio performance, spectrum efficiency and user experience, it helps us turn AI innovation into practical value on live networks. We also see strong potential in how this foundation can support emerging AI-driven services, including physical AI scenarios that depend on low-latency, highly reliable connectivity and intelligent coordination between network and compute resources.”

Remarks Senior Vice President, Network Technology & Operations for Bell, Bruce Dean, “At Bell, we’re continuously evolving our network to meet growing demand for high-performance, AI-driven services. Integrating AI directly into the RAN is an important step in making networks more intelligent and efficient. Working with partners like Ericsson, we’re bringing these capabilities into our network to enhance performance, improve energy efficiency, and deliver a better experience for our customers.”

According to Head of Network Technology Office, SK Telecom, Yu Takki, “Through our collaboration with Ericsson, SK Telecom is advancing AI-RAN to enhance network performance and energy efficiency while supporting more intelligent and automated operations. By combining research, real-world validation, and software innovation, we aim to strengthen our leadership in AI-powered network evolution and help lay the foundation for AI-native 6G.”

The Chief Technology Officer at Rogers, Mark Kennedy, opines that “As Canada’s best 5G+ network, we’re proud to work with Ericsson and bring the latest 5G technology to Canadians. AI in RAN will help optimize network performance for customers in real-time and reduce energy consumption.”

Principal Analyst at Mobile Experts, Joe Madden, says that  “This could be the best ROI for mobile operators in years. With a software upgrade, operators can squeeze more capacity, better observability, and more accurate location-based services out of the 5G network they bought years ago.”

Interestingly, Ericsson has embedded AI functionality throughout its products since 4G while also adding AI-ready acceleration in RAN Compute in 2021. In February 2026, the company launched neural network accelerators in its massive MIMO radios, boosting AI inference power by 10x.

The cooperation on connected edge AI products was highlighted at an event in Vienna, at the Embassy of the Republic of Latvia, wherein the representatives of LMT IoT, the Investment and Development Agency of Latvia, Infineon, as well as the members of the Latvian and European startup ecosystem gathered.

The new partnership between these two European tech companies relies on the fusion of edge AI technologies from Infineon, which include Deepcraft™ software solutions, with the IoT Shortcut connectivity platform from LMT IoT. The objective is to provide developers with a more direct route right from working AI models to deployable as well as connected products within the field.

Developers can make use of Deepcraft™ so as to turn sensor data into optimised Edge AI models for microcontrollers, whereas IoT Shortcut works to ease cellular IoT deployment with solutions to device onboarding, connectivity, data transmission, remote management as well as field operation necessities.

Combining these technologies can empower developers to create connected battery-powered products which process data locally and send only the most relevant events or information to the cloud.

According to the Head of LMT IoT, Reinis Skorovs, “The next wave of IoT products will not simply collect and transmit more data – they will understand what happens and act intelligently at the edge. That creates enormous potential across industries, but only if teams can move quickly and scale easily. Our cooperation with Infineon enables exactly that – giving companies a faster, simpler path from edge AI prototypes to connected products deployed in the real world.”

It is worth noting that this collaboration represents a development for companies creating products within industrial surveillance, maintenance prediction, ecological sensing, smart agriculture, asset monitoring, smart building systems and various other use cases where edge processing along with low-power cellular connectivity may minimise the level of complexity, enhance battery performance and facilitate real-world deployment.

For instance, a connected industrial device could leverage edge AI to locally detect anomalies only to send data when an anomaly is identified. Environmental or agricultural sensors may process the field signals received on the device and send out only relevant occurrences. For marine, logistics or asset tracking applications, connected devices may combine local intelligence with cellular connectivity in order to enable long-duration operations in remote locations.

According to Strategic Partner Manager at Infineon Austria, Andreas Mühlberger, “At Infineon, we believe that the power of our edge AI microcontrollers is only fully realized when paired with seamless, reliable connectivity. This partnership directly addresses the critical ‘last mile’ of product development: ensuring that the intelligent decisions made by our chips can instantly and efficiently reach the cloud. By integrating our Deepcraft™ software with LMT IoT’s proven cellular platform, we are giving developers a turnkey solution that combines our semiconductor expertise with their connectivity mastery by removing the technical friction.”

The partnership has already started with the joint mentorship program for teams building connected products which integrate edge AI along with low-power cellular connectivity. The program will provide startups as well as product companies with access to hardware, structured technical sessions, LMT IoT engineering expertise and support in progressing from concept or prototype to a functioning connected pilot. Notably, the current intake remains open until 31 July 2026.

It is worth noting that the initiative and partnership have also been acknowledged as an important move in Latvia-Austria technology cooperation and a pragmatic contribution to the startup as well as innovation landscape of Europe.

Says Head of the Representative Office in Austria, Investment and Development Agency of Latvia, Inga Ulmane,“This cooperation strengthens Lavia-Austria collaboration in high-value technology and serves as a strong example of how Latvia’s technology ecosystem helps power global innovation. By creating opportunities for startups, engineers, and industry partners to solve real-world challenges, LMT IoT and Infineon are laying the foundation for tomorrow’s connected products and services.”

The event at the Embassy of the Republic of Latvia featured presentations by LMT IoT and Infineon, a presentation pertaining to the joint cooperation and mentorship opportunity and participation of Latvian startups, investors, ecosystem stakeholders as well as sector partners.

The deal was signed via the Connectivity Division of Keppel and secures a standard capacity on the subsea cable system connecting Singapore to the west coast of the United States.

It is well to be noted that Bifrost is the first-ever subsea cable system linking Singapore directly to the U.S. through Indonesia, across the Java Sea as well as the Celebes Sea. The system lands in Singapore and Guam as well as Grover Beach, California, with branch facilities providing a standard connection to Jakarta and Manado, Indonesia, and Davao, Philippines, along with Winema, Oregon.

The cable will be over 20,000 km long and will have the ability to accommodate AI workloads and cloud-native platforms. Bifrost offers round-trip latency from Singapore to the U.S. of less than 165 milliseconds, up to 10 milliseconds quicker than current systems, Keppel says.

The system also brings over 240 Tbps of trans-Pacific capacity, addressing growing demand in terms of network robustness and backups across international digital paths.

The CEO of Connectivity, at Keppel, Manjot Singh Mann, said that “Finalising this IRU agreement with Telstra International reflects the growing traction of Bifrost amidst growing demand for high-quality digital connectivity infrastructure globally, as customers seek greater network resilience and alternative routes to support rising data traffic.”

He went on to add that Bifrost has functioned reliably as well as with utmost seamlessness ever since commencing commercial traffic in December 2025.

According to the CEO of Telstra International, Roary Stasko, “The Singapore-U.S. route is one of the world’s most important digital corridors, connecting fast-growing Asian markets to global cloud and content hubs. By securing a dedicated fiber pair on Bifrost, we’re giving customers more capacity and a truly diverse path, backed by an end‑to‑end service with Telstra International operating and monitoring the network.”

Notably, Keppel’s investment in the Bifrost fibre pairs is carried out in a 40-60 joint venture involving its private fund and co-investors. The company will also handle and upkeep five fibre pairs of the venture for the next 25 years.

Keppel said three of the fibre pairs were already committed to customers, with negotiations for the other two continuing, and agreements are expected to be concluded in the first half of 2026.

The telecom industry is all set to spend $6.2 billion on agentic AI by 2030. Agentic AI systems that can rationalise and decide independently will be a major enabler of the cognitive broadband era, changing networks from basic connectivity to autonomous optimisation and AI-powered infrastructures.

According to the president of fixed networks with Nokia, Sandy Motley, AI makes your end-users less likely to churn, your engineering and helpdesk teams more productive, and your field teams connect more homes more quickly. Nokia’s Agentic AI puts 600+ million lines’ worth of broadband experience at the fingertips of every field technician, helpdesk agent, and network engineer and solves problems before the customer is even aware. We are fundamentally changing how home and broadband networks are deployed and run.

As part of new agentic AI in homes and broadband networks, Nokia employs AI agents as well as natural language interactions in its Altiplano and Corteca as well as Broadband Easy platforms in order to help telecom providers modernise their processes and cut costs. Operators can actively fix problems, optimise operations with no added headcount and identify network-related issues by means of automated root-cause assessment. The AI agents will provide immediate, tangible advantages for operators, such as raising initial contact helpdesk resolution rates over 50%, qualifying network occurrences in less than 5 minutes, and reducing return trips to construction sites and connected homes by 50%.

The new agentic AI in homes and broadband networks is based on open and safe conduct that combines AI agents, live data and external services, with guarantees surrounding regulation, the privacy of data and vendor liberty. Operators have complete control and may utilise an LLM suitable for their particular use case, deploy their own interfaces, or connect sources of data when they deploy AI across their business.

Says Grant Lenahan, Partner and Principal Analyst with Appledore Research, “AI only works with quality data and when data is AI-ready. Our recent market outlook on AI in network automation underscored that the industry is rapidly moving to build infrastructure capable of enabling powerful, successful AI. Vendors like Nokia that combine deep domain expertise with real-world scale are best positioned to deliver reliable outcomes. Nokia’s approach reflects many of the right architectural principles, including autonomous control loops, structured data models, and open APIs, which are critical to making automation easy and AI responses accurate.”

Nokia’s new AI capabilities go ahead and cover the entire broadband network lifecycle. They improve end-user experience and enhance productivity for customer care, network engineering & operations as well as field force teams –

• A chat-based AI assistant offers technicians and assistance teams immediate access to product knowledge, speeding up training and routine troubleshooting.
• AI-powered text, voice, and image guidance assist field technicians throughout surveys and installations, and computer vision technology assists in verifying the standard of work done and creating a live digital twin of the FTTH network.
• Automated diagnostics to detect the degradation and avoid the outages, providing the frontline support teams higher levels of operational precision and depth of analysis.
• An intelligent troubleshooting agent enhances the root cause analysis and accelerates remediation efforts throughout home and access networks, employing sophisticated reasoning in order to identify errors faster, lower ticket volumes and boost first call resolution rates.

With the deep integration of artificial intelligence (AI), FTTR is now evolving toward self-sensing, self-optimizing, and self-operating intelligent networks, overcoming performance bottlenecks of traditional access systems. The AI+FTTR industry is transitioning from technology exploration to large-scale implementation. However, challenges remain such as the high cost of cabling in older buildings, multi-node synchronization difficulties, thermal and power consumption issues in 10Gbps transmission, and insufficient terminal-side computing power. Solving these will require coordinated efforts across the entire value chain. The upcoming CIOE – Information and Communication Expo serves as the central platform to bring together innovative solutions and gain insight into industry trends.

From Bottlenecks to Breakthroughs: How AI+FTTR Is Being Deployed

With continuous technological iteration and ecosystem collaboration, the AI+FTTR industry is moving from isolated innovations toward systemic maturity, reaching a turning point for large-scale deployment.

• Engineering deployment: The spread of pre-connectorized cabling and flexible wiring technologies has lowered deployment barriers in older buildings and complex campuses, enabling widespread FTTR adoption.
• Multi-node coordination: AI edge algorithms embedded in optical gateways and master devices enable dynamic optimization, automatic interference avoidance, and intelligent signal compensation making millisecond-level synchronization a reality and eliminating dead zones.
• Intelligent adaptation: The combination of lightweight AI models and cloud-based training enables FTTR systems to achieve “scene-adaptive” capabilities supporting not only home applications but also high-concurrency enterprise meetings, hotel security monitoring, and industrial data transmission.

For example, FiberHome’s 50G PON FTTR solution integrates AI and Wi-Fi 7 to create a 10Gbps access foundation. Sichuan Telecom and Huawei jointly launched an FTTR-B high-performance computing gateway that merges all-optical networking with general-purpose computing, intelligent computing, and storage. Its built-in AI algorithms optimize marketing copy and enhance collaborative office efficiency, empowering digital transformation across industries. Meanwhile, standardization efforts are accelerating, with chips, equipment, and algorithm vendors collaborating to clear the way for commercial-scale AI+FTTR deployment.

CIOE – Information and Communication Expo: A Hub for the Entire AI+FTTR Industry Chain

Taking place from September 9–11, 2026 at the Shenzhen World Exhibition & Convention Center, CIOE – Information and Communication Expo is a premier professional event in the optical communication field. It brings together key players across the entire AI+FTTR ecosystem from chips, components, and modules to equipment, solutions, and operations. It is an unmissable window for industry professionals to observe technological implementation paths, connect with quality resources, and identify solutions.

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Attendees will see key enablers of AI+FTTR deployment including 10G PON/50G PON devices, intelligent gateways, and optical transmission platforms, showcasing multi-scenario adaptation solutions for residential, enterprise, and urban applications – intuitively demonstrating the integration of AI algorithms with hardware equipment.

• UTSTARCOMhas made AI+FTTR its 2026 core strategy and plans to launch an AI intelligent FTTR prototype system in the second half of the year.
• C-DATAnewly launched its Wi-Fi 6 XGS-PON ONU series in April, supporting 10Gbps symmetric transmission, which is the preferred terminal for carrier FTTR upgrades.
• VSOLlaunched a compact FTTR solution for international operators, featuring a mini GPON OLT and Wi-Fi 7 optical terminal.

Representative companies include: Asterfusion, Baoshitong, BDCOM, BT-PON, C-DATA, FCTEL, Fullwell Optoelectronic, Goldenstar, Hairong, Hi-Net, HiOSO, HiStarlink, HORED, HSGQ, H3C, ISEELINK, Jingjia, KingType Technologies, Luster LightTech, Prevail, RUID ELE-TECH, Ruijie Networks, Saisi, Sanland, SINO-TELECOM, Sintai, Taclink, Triple-Stone, UTSTARCOM, Visint, VSOL, Wanshuo, Yingdakang, Yilut, Yufan Photonics, Zhenshi Communication, etc.

Core components are the “heart” of AI+FTTR technology and key to solving industrial bottlenecks. CIOE – Information and Communication Expo will highlight core chips adapted for high-speed optical modules, high-end optical modules supporting AI computing centers and backbone network transmission, and various optical devices ensuring low-loss, high-stability signal transmission. Accelink, Eoptolink, EverBright, HG Tech, and others will display related high-end products, including single-wavelength 200G chips and silicon photonics modules, helping resolve power consumption and heat dissipation challenges in 10G transmission. Additionally, some companies’ network management platforms have integrated AI fault prediction and automatic optimization functions, proactively deploying intelligent access network O&M systems to safeguard large-scale AI+FTTR deployment.

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Representative companies include: Accelink, ADT, AFR, Anritsu, ASMPT, Attach Point, Broadcom, C-DATA, CIG, Coherent, CORNING, Credo, Dawning Semi, Dinglong, Dioo Microcircuits, Dogain, Energy, Eoptolink, Everbright, EXFO, FiberHome, Flyin, FCTEL, GlobalFoundries, GigaDevice, Hengtong, Heyan Tech, HG Tech, Hi-Net, Hisilicon, Hitachi, H3C, ISEELINK, Jingchuang, Keysight, LASER X, Lieqi, Ligent Technologies, Lightera, Linktel, LongSight, Luxic, Luxshare Technology, Macom, MARVELL, MicroView, MRSI Systems, MTC RUIGU, MURATA, NOEIC, O-Net, Optowide, PHOGRAIN, Photontek, Pioseed, POET, PUNO, Qining Xinweidu, QXP, Ruijie Networks, Sanan, Santec, Schott, SDG, Semtech, Senko, SG Micro, Shijia, Sifotonics, Source Photonics, Suna, Taclink, T&S Communications, TFC, Thahoo, 3M, 3Peak, Tower, Tri-Light, Triple-Stone, US CONEC, UX IC, Viavi, VSOL, Wanshuo, Xphor, Xingqihang, Yokogawa, YOFC, Yongding, ZJEAGLES COMSEMI, ZTT, etc.

Concurrent Forum: Intelligent Upgrade and Applications of 10G Optical Access

During the exhibition, a concurrent forum “10 Gigabit Optical Access: AI+ Intelligent Upgrade and Application Forum” will be held. Currently, 168 10-gigabit optical network pilots have been launched across China. Driven by large AI models, the demand for high-bandwidth, low-latency connectivity in home, enterprise, and industrial settings is more urgent than ever. The evolution toward 50G-PON and FTTR agentic systems has become a key direction.

However, the industry still faces challenges in standard convergence, cost constraints, and AI-powered operations and maintenance. The forum will invite China’s three major telecom operators and upstream/downstream vendors to discuss technology progress and upgrade pathways, accelerating the access network’s move toward the 10-gigabit era.

Join Us in Shaping the All-Optical Intelligent Future

The AI+FTTR wave has arrived. The intelligent future of all-optical access is becoming reality. From refined engineering deployment to smart operations, from component breakthroughs to full-scenario solution rollouts, every step forward relies on collaboration across the industrial chain. CIOE – Information and Communication Expo is not only a window into industry change but also a critical node connecting technology with the market, and R&D with real-world applications.

We look forward to meeting you at this industry gathering from September 9-11, 2026 at Shenzhen World Exhibition & Convention Center for the new era of all-optical intelligence.

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As Trinity platform is launched by MaxLinear, Inc., it is built for the next-gen of intelligent networks. Trinity delivers cloud-managed, AI-optimised backhaul infrastructure that allows operators to broaden 5G coverage while reducing installation and operational expenses via automation and also real-time network intelligence.

It is well to be noted that wireless backhaul is the crucial link which connects cell towers and radios to the central network. With the global surge of mobile data and 5G expanding to remote regions, service providers need wireless backhaul solutions that are easier to set up, more cost-effective and self-managing. Traditional approaches rely on manual provisioning and limited visibility, which results in slower and more expensive deployments, especially in markets with limited Average Revenue Per User – ARPU.

Industry analysts forecast solid growth for millimetre-wave technology as 5G networks consolidate and as the requirement for high-capacity wireless backhaul increases. The global millimetre wave technology marketplace is projected to expand from about $3 billion in 2024 to over $7 billion in 2029, at roughly 20% annual growth, driven partially by the demand for scalable, cloud-managed as well as AI-enabled telecom infrastructure.

The Trinity Platform – A Carrier-Grade and Highly Integrated Solution

URX processors are already deployed on major carrier networks around the world. The Trinity platform from MaxLinear integrates many backhaul functions into a single URX850 chip, taking advantage of the durability and structural enhancements of the URX platform to dramatically reduce the level of complexity, cost and power usage when it comes to the radio systems.

Trinity offers the Open Compute Project – OCP Switch Abstraction Interface SAI in order to strengthen the commitment of MaxLinear to open standards for smooth migration from legacy systems to software-defined, cloud-managed networks.

These advancements combine to put MaxLinear as the primary technology partner for carriers setting up next-generation wireless backhaul.

According to SVP & GM, Network Infrastructure and Carrier Business Unit at MaxLinear, Puneet Sethi, “We are excited about the capabilities of the Trinity platform, which reflect MaxLinear’s leadership in highly integrated system-on-chip solutions for wireless backhaul. Leveraging URX’s built-in AI acceleration and Trinity SAI API, our OEM customers can now deliver highly differentiated 10Gbps microwave and E-band radio systems that enable smarter tech with cost savings up to 50%.

What It Signifies for Original Equipment Manufacturers – OEMs

The Trinity platform enables equipment manufacturers to rapidly design and deliver more capable backhaul radios by way of –

Lower cost and power usage – Up to 50% savings on necessary parts and additional power savings for a more sustainable operation.

Optimized form factor – Smaller size and weight for a simpler installation.

Improved reliability – Fewer components, greatly increased MTBF – Mean Time Between Failures.

Cloud network management – Visibility, provisioning and orchestration throughout distributed infrastructure.

This integration is a major move forward for outdoor wireless radios in which space and power happen to be constrained. The Trinity platform now has functionality that used to call for multiple components, such as switching and quality of service – QoS, aggregation of several wireless links to boost capacity, high-speed data encryption for enhanced safety, and the exact timing needed for carrier-grade networks.

Such functions are usually executed in conventional radio architectures using large, power-hungry ASICs, including programmable logic devices (FPGAs). All of this is done directly in integrated hardware and software on the Trinity platform, which simplifies designs and maximises efficiency.

What this means for mobile network operators (MNOs)

Trinity offers simpler, lower-cost radios that provide rapid, dependable and scalable networks with a number of key differentiators –

Multi-link aggregation – Combines around four microwave wireless links in parallel, automatically adjusting to changing channel conditions.

Ruggedized functionality – Dependable operation from –40°C to +85°C designed for harsh environments.

Increased security – Integrated hardware-accelerated, fast encryption to have data integrity.

Opines Chief Technology Officer at Bharti Airtel, Randeep Sekhon, “Meeting the capacity demands of 5G while maintaining sustainable deployment costs requires a new level of integration and cost optimization in backhaul design. We appreciate MaxLinear’s focus and investment in these areas and look forward to the availability of next-generation optimized backhaul radio solutions.”

Initially, the Orange Cyberdefense teams will be based in Madrid and Barcelona, with a dedicated local security centre – CyberSOC – so as to provide ongoing human-led surveillance and swift incident response in order to remain as close as practicable to the cybersecurity requirements of companies throughout Spain.

As Orange Cyberdefense ties with MasOrange, in the initial stage, 100 experts will be engaged to aid the development. Orange Cyberdefense will bring novel and customised solutions which are adapted to the size and budgetary constraints of every company while also relying on the extensive commercial network of MasOrange to tackle critical issues.

A study from Statista shows that in recent years Spain has been considered one of the most targeted countries in Europe, with 54% of companies experiencing a cyberattack. The Spanish cybersecurity market reached a projected €2.3 billion in 2025, with a growth rate of 10% and a highly competitive public sector which could bring in over €400 million in cybersecurity contracts in the years to come.

The EVP and CEO of Orange Cyberdefense, Hugues Foulon, says that “in the context of ongoing digital warfare, cybersecurity must be at the heart of every strategy. Cybersecurity is no longer just a necessary expense, but a pillar that transforms organizations and strengthens our economic resilience. As threats continue to intensify, Spanish companies need the support of a trusted partner – a market leader recognized for its 10 years of experience. Our entry into the Spanish market also illustrates the implementation of our strategic plan, ‘Trust the future,’ with the ambition for Orange Cyberdefense to achieve €2 billion in revenue by 2030 and to actively contribute to the essential European digital sovereignty of our businesses.”

According to the CEO of MasOrange, Meinrad Spenger, “Cybersecurity has become a top priority for our clients, including businesses, public sector organizations, and individuals. Thanks to MasOrange’s modern and advanced fiber and 5G connectivity infrastructure, combined with the expertise of a European leader like Orange Cyberdefense, we will create a unique market offering, establishing Orange Cyberdefense Spain as a benchmark in digital protection for customers across Spain.”