NEXCOM, a leading global supplier of network appliances, announced the company’s diverse lineup of fixed wireless access (FWA) solutions is helping expand application of 5G FWA to new uses, from bridging the digital divide to enabling real-time data processing to power smart cities and revolutionize the future of telemedicine. NEXCOM provides a 5G FWA uCPE range tailored for various sectors and use cases.

5G FWA uCPE applications are boundless, from delivering reliable connectivity in remote areas to ensuring mission-critical communications in industrial settings and powering smart city technology. 5G FWA uCPE is helping provide reliable, low-latency, and high-bandwidth connections, driving innovation on behalf of diverse industry sectors. 5G FWA has already become a major component in achieving nationwide broadband connectivity in the U.S.

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The most common 5G FWA application is delivering connectivity where wireless transmission is used to reach the last mile. However, the future applications of this innovative technology are growing to include eMBB (Enhanced Mobile Broadband) in both FR1 and FR2 frequency ranges, URLLC (Ultra-Reliable Low Latency Communication), and mMTC (massive Machine Type Communication). In addition, advanced features now include 5G network slicing, 5G TSN (Time-Sensitive Networking), 5G security, and NTN (non-terrestrial networks), which enables 5G FWA technology to be used as a smart city technology in various settings, including smart factories, smart manufacturing, smart cities, and intelligent transportation.

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In response, NEXCOM is delivering a comprehensive 5G FWA uCPE product lineup tailored to different sectors and use cases. Each appliance comes with predefined features and expandable space, allowing users to customize available options to meet specific requirements. NEXCOM 5G FWA uCPE is also integrated with a lightweight network OS for easy set-up and control, designed to simplify network configuration.

“The widespread adoption of 5G FWA underscores the importance of understanding the unique requirements of each application and identifying the most suitable equipment to meet those goals,” said Peter Yang, President of NEXCOM. “We’re helping provide clarity in the market by tailoring NEXCOM products to cater to the diverse application grades and settings for 5G FWA applications in both private and public networks. Based on NEXCOM’s guidelines and feature matrix, Telco operators who are currently weighing their options on hand can easily find out the best equipment after checking the reliability of the device for managing traffic and meeting critical low-latency demands, the necessity for mobility and outdoor long-range connectivity, and building a comprehensive, future-proof solution that caters to both present and future requirements.”

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5G FWA solutions can be categorized into four attribute grades serving different field applications: Consumer Grade, Enterprise Grade, Industrial Grade, and Telecom Grade. Each one focuses on different features and functions, serving different usage scenarios to better utilize the advantages of 5G FWA. NEXCOM’s 5G FWA appliances have been classified based on CPU performance as well as wired and wireless connectivity, with detailed explanations provided in the White Paper.

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Omni Design Technologies, a leading provider of high-performance, low-power mixed-signal intellectual property (IP), announced their expanded silicon IP solutions, on advanced FinFET nodes, for next generation LiDAR (Light Detection and Ranging) applications.

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“Omni Design Technologies is accelerating the productization of ADAS solutions, enabling our customers to move quickly and with reduced risk”

Next generation LiDAR not only measures distance but also measures doppler shift which is directly proportional to the velocity of the object. By knowing the velocity of objects, LiDAR can better anticipate and avoid potential collisions and allows for safer more efficient navigation.

Omni Design Technologies enhanced next generation LiDAR IP offerings are built using its Swift data converters, which offer ultra-high-performance ADCs and DACs at low power. Silicon proven solutions from Omni Design Technologies for LiDAR customers now include:

• Specialized receiver channel for next generation LiDAR including Omni Designs’ proprietary front-end technology, which optimizes for low-power and high-speed, while maintaining wide dynamic range with dynamic range control for adaptive performance.
• Swift multi-channel ADCs with sampling rates ranging from 200-Msps to 10-Gsps and resolution of 10-bits to 14-bits. These ADCs are seamlessly integrated with supporting components such as LDOs, process, voltage and temperature monitors, bandgap reference, and low-jitter Phase Lock Loops (PLL) ensuring high performance and reliability.

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Over fifteen high performance low power IP solutions for next generation LiDAR applications, including Swift data converters to 10-GSPS and beyond, have been added to Omni Design Technologies portfolio, enabling clients to speed time-to-market and reduce development and deployment risk.

“Omni Design Technologies is accelerating the productization of ADAS solutions, enabling our customers to move quickly and with reduced risk,” said Dr. Kush Gulati, President, and CEO of Omni Design Technologies. “Our offerings, including silicon-verified receiver front ends and Swift data converter cores, exemplify our commitment to excellence in LiDAR technology. These advancements are a testament to our dedication to setting new industry standards and driving innovation in the LiDAR landscape.”

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LLM in a Flash

Published on December 12, the new study titled “LLM in a Flash: Efficient Large Language Model Inference with Limited Memory” can revolutionize the iPhone experience. It could bring a more immersive visual experience and make complex AI systems accessible on iOS devices. A recent research paper by Apple reveals a groundbreaking method that can assist in implementing AI on iPhones.

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3D animated avatars from single-camera footage

Apple researchers present HUGS (Human Gaussian Splats) as a method to create 3D animated avatars from single-camera footage in the first study. In a statement made by principal author Muhammed Kocabas, the researchers claimed that their system could automatically separate a static scene from an animated human avatar in as little as 30 minutes using only a monocular video with a modest number of frames (50-100).

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Future demands of AI-infused services

Apple is looking ahead to the future demands of AI-infused services as it considers incorporating these breakthroughs into its product selection, which might improve its gadgets even further. If Apple’s new memory-allocation feature works as advertised, it might pave the way for a whole new category of apps and services to take advantage of LLMs in ways that weren’t possible before.

In addition, Apple is contributing to the larger AI community by publicizing its research, which could encourage other improvements in the field. That Apple is willing to do this shows how seriously it takes its role as a technological leader and its dedication to expanding human potential.

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Flash storage optimization

Using flash storage optimization, this method streamlines large LLMs. Another major development will occur when Apple incorporates sophisticated AI inside the iPhone. Two new research papers showcased this month by the Cupertino-based tech behemoth declared substantial advancements in AI. The study uncovered novel methods for efficient inference of language models and 3D avatars. This research delves into the difficulty of keeping model parameters in flash memory, running them into DRAM on demand, and executing LLMs that use more DRAM than is available. Data transfers from flash memory can be optimized with the use of the Inference Cost Model, which takes flash and DRAM characteristics into account.

To back up their claim, the researchers have utilized models like Falcon 7B and OPT 6.7B. According to the research, compared to conventional approaches, the models increased CPU speed by 4-5 times and GPU speed by 20-25 times.

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Why the users should be happy?

Users of Apple products, such as the iPhone, may profit substantially from the results of the study on efficient LLM inference with limited memory. Users will get access to greater AI capabilities with strong LLMs running efficiently on devices with limited DRAM, like as iPhones and iPads. Better language processing, smarter voice assistants, better privacy, maybe less internet bandwidth utilization, and, most significantly, making advanced AI available and responsive to every iPhone user—these are all features that come with the iPhone.

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Today, everything is connected – from phones to watches to cars – modernizing industries, and cellular connectivity changing the way we live, work, and learn. But, at the same time carriers are building out the infrastructure to support this enhanced connectivity, they are setting aggressive decarbonization goals, including public Net Zero ambitions.

What that means for communications service providers (CSPs) is that they can no longer view performance as the sole criterion for success. The telecommunications network of today must be powerful and nimble – and it needs to be sustainable, too. And, AI is the key to creating and managing energy efficiency, reducing carbon footprint while continuing to deliver the high-quality service customers demand.

RAN Represents the Bulk of Energy Usage – And an Opportunity for Savings

The telecom industry is in a unique position when it comes to decarbonization. Advanced connectivity is key to enabling carbon reduction in other industries, and there is also a tremendous opportunity for the telecom industry to lead by example by cutting its own emissions. 

The Radio Access Network (RAN) equipment accounts for 80% of the energy use for an operator, based on a benchmarking study by the GSMA. Yet the GSMA also reports 62 operators, representing 61% of the industry (by revenue), have committed to a science-based carbon reduction target, pledging to reduce direct and indirect emissions by 2030.

As networks become increasingly complex, managing energy usage can’t be done manually. Software that monitors for periods of low usage to shut down unnecessary equipment is a good first step, but purely reactive solutions won’t be enough to manage traffic demands while cutting emissions.

AI is the missing ingredient that will help CSPs gain insights to inform ongoing energy savings, while also driving real-time efficiencies through operational orchestration.

AI is what will take network energy management from reactive to predictive, making decisions based on the network’s needs.

For example, AI functions can decide, based on data, what resources will be needed in the coming hours and days, and if all the capacity in the frequency bands within the RAN will be needed. They can then turn off or on different frequency bands or other resources according to predicted demand.

Because, AI programs dynamically learn, adapt, and act accordingly, these tools enable operators to control cells dynamically and in turn, serve dynamic traffic patterns instead of just peak traffic.

Taking things to the next level, CSPs will be able to use AI and machine learning predictions to build digital twins of the RAN environment, allowing them to test and develop energy-saving features without any risk to their actual, live network. 

AI Can Identify and Enable Savings Beyond Network Operations

And it’s not just the day-to-day network management where AI tools can help reduce energy usage. They can also help operators diagnose and resolve issues remotely, getting things right the first time to reduce unplanned downtime – as well as achieving carbon reduction through fewer maintenance truck rolls. And, with AI insights, CSPs can identify where new cell sites or other resources should be deployed, creating efficiencies with deployments and equipment buildouts.  

Another area where AI can enable energy savings is in the passive equipment at individual cellular sites, things like climate control or air conditioning.

AI solutions can help companies manage the energy infrastructure on-site more intelligently. They can also help in areas where demand response programs are enabled, or when government regulations or tariffs are in place to control peak demand.

For example, AI-powered applications can switch to battery power during times when tariffs are higher (peak load shifting), or when the grid power usage reaches a certain power grid alternating current (AC) limit.

There is a real urgency behind the need for CSPs to make operations more energy efficient, as the telecom industry works to meet self-declared sustainability targets as well as government mandates. Yet, there can be an understandable hesitancy to enact some energy-saving solutions, for fear of disrupting networks or reducing the quality of service. Luckily, AI can be a solution for both these issues – giving CSPs the tools they need to manage complex network functions in the most efficient manner possible, while also collecting and analyzing data to test and refine new applications in a virtual environment, such as a digital twin. Cellular networks need to get smarter to meet sustainability expectations without affecting customer experience – and AI is the key to making it work.

[To share your insights with us, please write to sghosh@martechseries.com]

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First-of-its-kind in Ireland, 5G Standalone network trial, powered by Ericsson, will enable more effective connectivity for advanced technologies and IT Systems.

Three, Ireland’s largest mobile network, is the first Irish operator to launch the next evolution of 5G, 5G Standalone, which has the potential to accelerate innovation across industries and unlock exciting possibilities for businesses and consumers.

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Operating initially on a trial basis, the 5G Standalone technology, powered by Ericsson, will be available to select corporate customers who will have the opportunity to test and trial its capabilities.

5G Standalone is the next advancement of 5G technology – meaning the 5G network operates with a 5G dedicated core network, supporting enhanced speeds, providing minimal latency and enabling higher device density and capacity. In contrast, currently all 5G capabilities rely on a 4G radio coverage footprint and 4G core network, so while speeds are quicker and latency has improved, there is still a reliance on 4G.

With 5G Standalone, businesses can harness the full potential of 5G technology, unlocking a new era of connectivity that will empower industries and change how many operate today. 5G Standalone technology facilitates an array of possibilities including the remote operation of unmanned mobile vehicles and equipment, logistics inventory robots, enhanced Augmented Reality and Virtual Reality (AR/VR), real-time manufacturing process controls and real-time sports analysis, helping to enhance athletes’ performances.

As the next evolution of connectivity, 5G Standalone also offers ‘network slicing’, which will enable Three to build virtual end-to-end networks tailored to specific business requirements. This key feature of 5G Standalone allows infrastructure to be divided into multiple networks, supporting greater efficiencies for businesses. In addition, network exposure functions which are unique to 5G Standalone technology will provide new business capabilities and drive innovation.

One important feature of 5G Standalone technology is that it can ensure unparalleled performance and seamless connectivity for mission critical applications such as Public Safety/First Responders including Paramedics, Fire Brigade, Garda and Disaster Recovery Teams.

David Hennessy, Chief Technical Officer Three Ireland & Three UK comments: “Three Ireland is delivering on groundbreaking technology developments that are going to inherently advance the way we live, utilise and interact with technology. 5G Standalone is the next evolution in 5G technology, as we move fully away from a reliance on 4G and into 5G core technology. This is just the beginning for true 5G where we will see the extensive possibilities for powering advanced technologies and supporting greater connectivity for all kinds of devices and enhance user experiences.”

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Three Ireland has partnered with Technological University Shannon (TUS) to trial 5G Standalone technology and begin showcasing its capabilities in real-life scenarios.

Commenting on the launch of Three’s 5G Standalone technology, Dr. Enda Fallon, Head of Department of Computer and Software Engineering from TUS states: “We are delighted to partner with Three Ireland on the launch of 5G Standalone technology in Ireland, working alongside them as we advance use case studies of this technology. This will enable researchers to design and evaluate the transformative solutions of the future, solutions that have yet not even been contemplated. There is no doubt that our lives are increasingly enhanced by technology, and we are proud to be at the forefront of the next advancement of 5G – a technology that has the potential to augment and elevate how businesses perform into the future.”

John Griffin, Head of Ericsson Ireland, said: “The introduction of 5G Standalone capabilities on a public network for the first time in Ireland marks a new milestone in our partnership with Three Ireland. 5G Standalone is the ultimate next step in meeting the growing connectivity demands from consumers and businesses who require premium performance. With the network technology to offer tailored speed, latency and reliability, Three Ireland will be able to support innovative applications and services that will drive new market growth and deliver benefits for industry and society across the country.”

Why 5G Standalone technology is critical for some industries:

The key benefits of 5G are around latency, speed and capacity – which are ideal for a wide range of use cases:

• Consistent low latency (low level of delays) for example is critical for autonomous vehicles, safety systems, manufacturing, and augmented reality.
• Speed of data transmission is a basic ‘must have’ for applications that rely heavily on video, but significantly enhance service opportunities when associated with low latency.
• Capacity is the ability to manage a much larger density of devices or sensors per square kilometre (10 times higher than 4G).
• Latency is the speed by which information travels across the internet between connected devices. With the advancement of 5G Standalone technology, the latency is significantly reduced, meaning the speed by which this information travels is significantly increased and much faster than on previous networks such as 3G and 4G, significantly improving customer experience on a wide range of services.

What makes 5G Standalone stand out in these scenarios is that its base stations can provide a greater coverage area than Wi-Fi access points. As a result, fewer base stations are needed to cover a given area, which in turn helps increase any solution’s overall reliability and make it much more cost efficient.

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 [To share your insights with us, please write to sghosh@martechseries.com] 

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Virtual Internet announced that Virtual 5G has now been enhanced to provide increased performance and security for platforms that incorporate wearable technologies. Virtual 5G enhancements are now fully automated and users do not need to make any special configuration changes to enable enhancements for their wearables. Virtual 5G enhancements allow wearables to deliver on their promise and purpose.

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These wearable devices, such as Smartwatches, use dedicated biosensors to determine health and fitness metrics, but rely on phones and tablets with apps which communicate with systems in the cloud. Smartwatches typically communicate with Smartphones via Bluetooth, and NFC, however Wi-Fi, 3G, and 4G/LTE is being increasingly used to connect watch/wearable to phone.

Virtual 5G now supports the most widely used platforms such as Wear OS (formerly Android Wear) a version of Google’s Android operating system designed for Smartwatches and other wearables, Apple watchOS, the operating system of the Apple Watch, based on iOS, the operating system used by the iPhone, and Zepp OS, Amazons Amazfit’s fitness watches which also require a Smartphone and works with iPhones and Android phones equally.

Technological advancement in wearable health devices has developed low-consumption and high-integration sensor technology with low-power high-performance battery technology and high processing chip technology. Consumer Wearables are increasingly attempting to determine useful health and fitness metrics. Wearable Health Devices (WHDs) are an emerging technology that enables continuous ambulatory monitoring of human vital signs. While some sensors, Altimeters, Pedometers, Barometers, Thermometers, etc., are accurate; however, the sensors used for Health and Medical purposes, Heart sensors, Blood sensors, and Temperature sensors which are more critical, are often less accurate.

Wearables Need more than an App – they need a 5G Global Network

Wearable Device sensors need connection to the network, yet Network issues of Bandwidth, Security, Privacy and Performance impact the utility of Wearable Health Devices. Virtual 5G enhancements for Wearables now eliminate the Network issues that impact wearable connections to Cloud Based Medical grade systems for collection, analysis, correlation, correction, decision making, and interventions.

Wearable Medical Information Data Accuracy and the Cloud

As wearable technologies are being increasingly used for clinical research and healthcare, it is critical to understand their accuracy varies; measurement errors may impact healthcare decision-making. Accuracy of wearable technologies has been a hotly debated topic in the medical community. Wearable technology companies are responsible for assessing and reporting the accuracy of their products. For example, Heart rate measurements from wearables are derived from photoplethysmography (PPG), an optical method for measuring changes in blood volume under the skin, where potential inaccuracies in PPG stem from three major areas, includes (1) diverse skin tones/types, (2) motion artifacts, and (3) signal crossover. Studies have shown significant differences between devices, between activity types, with absolute errors during activity that were on average 30% higher than during rest periods. Varying accuracy exists between different wearables through varying changes in activity, with implications for clinicians, and consumers in making health-related decisions using these devices.

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Wearable Personalized Medical Information Data Privacy, Security and the Cloud

Personalized data generated from Wearables creates significant risks in Privacy, Security and Anonymity over Public communication networks. Wearables are driven by device operation, not the data or the sensitive nature of the data itself which is likely the most personal and private data that exists. However, there are no global laws that limit what can be collected, shared, stored or analyzed, with different standards on device security, differing levels of authentication and authorization, and different ethics on data collection worldwide. Certainly, there are no global security and privacy guarantees regarding how devices collect, send and analyze data, other than what the users employ to protect themselves, their families, friends and loved ones.

Wearable Data Accuracy and the Cloud

Wearable Medical Measurements have error rates that average 30%. This means the Network is the critical component for connecting to Cloud based systems to correlate, validate, and correct data and medical determinations, the primary value of Wearable Health Devices.

Virtual 5G has now implemented prioritization for Web-based data, such as from Device-to-Phone-to-Cloud over the Network, to enable the High Bandwidth networking needed for the myriad of medical sensor data that comprises real-time continuous ambulatory monitoring of human vital signs during daily life.

Wearable Data Privacy, Security and the Cloud

Virtual 5G has now implemented enhanced security and encryption of Web-based data, the data from Device-to-Phone-to-Cloud over the Network, to enable Highly Secure networking that is not just Private, it is Invisible. Virtual 5G specifically enables Transmission Anonymity, which protects users from security deficiencies in their wearable’s platform, and vulnerabilities in their service providers networks, allowing users to guarantee the protection of themselves, their families, friends and loved ones.

Wearable Remote Monitoring and the Cloud

The human body has multiple different physiological signs that can be measured. These are extracted in real time for Anomaly Detection, Prediction, and Potentially Life Saving Medical Intervention. The real-time continuous monitoring speaks to the need for High-Performance Networking to communicate these alerts to clinicians.

Virtual 5G has now implemented enhanced low latency for Web-based data, such as from Device-to-Phone-to-Cloud over the Network, to enable the High-Performance networking needed for real time remote monitoring and decision making. Virtual 5G enhancements allow wearables to deliver on their promise and purpose.

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Nokia announces deal to sell Device Management and Service Management Platform businesses to Lumine Group

• Deal marks further progress in Nokia’s strategy to actively manage its Cloud and Network Services (CNS) business group portfolio in order to invest in other strategic areas and enhance technology leadership 

• Deal enhances Lumine Group’s software portfolio, and enables Nokia customers to benefit from Lumine’s telecom industry expertise, financial resources, and strategic intent to invest in long-term product roadmap

Nokia announced an agreement under which Lumine Group Inc. will buy Nokia’s Device Management (DM) and Service Management Platform (SMP) businesses. The deal will enable Nokia DM and SMP customers to benefit from Lumine’s telecom industry expertise, financial resources, and strategy to invest in a long-term product roadmap.

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The agreement reflects CNS’s investment focus on technology leadership areas, and the active portfolio management of others. CNS has executed a clear strategy over the past two years to grow faster than the market by establishing technology leadership and reorienting investment toward strategic areas of 5G Core, secure autonomous operations, private wireless and edge, network as code, and SaaS. The deal follows Nokia announcements earlier this year to divest its VitalQIP products to Cygna Labs Corp and to make Red Hat the primary infrastructure platform for Nokia Core Network applications.

Lumine Group acquires, manages, and builds industry-specific software, focused in the telecom and media space. With its strong balance sheet and market capitalization, Lumine Group intends to operate DM and SMP as a standalone business, which will be called Motive.

Approximately 500 Nokia Device Management and Service Management Platform employees are expected to transfer to Lumine Group as part of the deal. Both companies will work closely together to ensure a smooth transition and business continuity.

The deal is valued at EUR 185 million, which includes a contingent consideration of up to EUR 35 million based on the performance of the business during the first year following close. The deal is expected to close in the first quarter of 2024, subject to certain terms, conditions, and consultations with works council or other employee representative bodies where required by law.

Nokia Device Management software capabilities help communication service providers remotely manage home broadband access devices, as well as IoT sensors and devices from a variety of different vendors; while the company’s Service Management Platform improves customer care service, with coverage spanning more than 150 deployments worldwide and more than 1 billion devices under management.

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Raghav Sahgal, President of Cloud and Network Services, at Nokia said: “Nokia is pleased to enter this agreement with Lumine as another sign of progress in our strategy to focus investment in those areas most important to our business. Lumine Group has the telecom industry expertise as well as the strategic focus and resourcing to drive the Device Management and Service Management Platform businesses forward to a stronger future.”

David Sharpley, Group President at Lumine Group said: “We are absolutely thrilled to welcome Device Management and Service Management Platform customers and employees to Lumine. Consistent with our autonomous operating model, we will be reviving the heritage Motive brand for this new stand-alone Lumine company and we look forward to partnering with Nokia to ensure operational continuity with all customers.”

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HellasQCI and Nokia lead way to the future of Quantum-Safe Networks

• Trial showcases hybrid approach with both classic and quantum physics key generation to help HellasQCI reach its goal of Quantum-Safe Networks for critical infrastructure security across Greece

• Results demonstrate critical interoperability in the quantum key distribution (QKD) architecture and how Nokia’s portfolio is equipped to help secure the network against quantum attacks at the lowest latency and lowest cost per bit

• HellasQCI project consortium is led by GRNET – National Infrastructures for Research and Technology, and operates under the auspices of the Greek Ministry of Digital Governance. GRNET provides networking, cloud computing and high-performance computing connecting more than 150 organizations across 50 cities and serves hundreds of thousands of users

Nokia announced it has successfully completed a proof of concept (PoC) of Quantum-Safe Networks (QSN) in a complex optical network ring topology across three locations in Greece with HellasQCI, the Greek National Quantum Communication Infrastructure Consortium. Nokia successfully demonstrated hybrid key generation using both classic and quantum physics to generate and distribute Quantum-Safe keys for encrypted optical services. The goal of the PoC was to run use cases with the HellasQCI consortium members from government, research and education, defense, law enforcement and private sector critical infrastructure owners to ensure Quantum-Safe connectivity infrastructure.

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The PoC was performed on a ring connecting three nodes in GRNET’s Data Center, the National Kapodistrian University of Athens (NKUA) Network Operations Center (NOC), and the NKUA Department of Informatics and Telecommunications (DIT), Optics Communications and Photonic Technology Laboratory (OPTCOMMS-PTL).

The positive potential of quantum computing is enormous. Today, governments and research organizations are investing in the technology to address issues such as sustainability, defense, and other societal challenges. Enterprises are using it across industries for applications like advanced financial computations, shaping the future of electric vehicles, or to better understand the impact of climate change on the power grid. However, the development of quantum computing also introduces an ability for this technology to easily penetrate systems previously regarded as secure, for example, by breaking existing encryption. This threat could easily damage life sustaining critical infrastructure. Hence, there is an urgent need to ensure networks are ready for quantum attacks through consortiums like HellasQCI who conduct rigorous tests and trials on their systems before bad actors can attempt to leverage quantum computing, overwriting current encryption technologies.

The HellasQCI consortium consists of 14 public organizations and private corporations, and is led by GRNET as project coordinator and NKUA as its technical coordinator. GRNET operates under the auspices of the Greek Ministry of Digital Governance, providing networking, cloud computing, high-performance computing, and e-Infrastructures. It connects more than 150 organizations across 50 cities and serves hundreds of thousands of users daily in public administration, education, research, health and culture.

The Nokia QSN solution showcased the value added by the Nokia Security Management Server (SMS) to orchestrate Quantum-Safe keys and provide continuous monitoring and management of quantum secured connectivity. This particular SMS is the Quantum-Safe Key orchestrator, managing key requests and assuring Quantum-Safe services for the given crypto period. Upon continuous monitoring of Quantum-Safe connectivity service, the system’s SMS can increase secured connectivity resiliency automatically by reverting to classic physics-based keys in case of issues on the QKD layer.

Dr. Ognjen Prnjat, Director for European Infrastructures and Projects Directorate at GRNET, said: “We are very pleased with the successful completion of the PoC with Nokia, which is one of the key milestones for the HellasQCI project that establishes the National Quantum Communication Infrastructure in Greece. GRNET plays a crucial role in various European infrastructures for research and education, including EOSC, EUDAT, EGI, GÉANT, PRACE, and EuroHPC, and we are honored to have been given the responsibility by the Ministry of Digital Governance to lead the implementation of this innovative quantum network infrastructure as part of the pan-European Quantum Communication Infrastructure (EuroQCI) initiative. The PoC demonstrated the feasibility and the benefits of Quantum-Safe Networks for securing critical communications in Greece and in Europe and we look forward to continuing our collaboration with Nokia and other partners to develop and deploy an operational and secure EuroQCI.”

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James Watt, Head of the Optical Networks Division at Nokia, said: “We are proud to partner with HellasQCI and its consortium members to demonstrate our QSN solution in this challenging and innovative PoC. Test environments like this are crucial to ensure networks are ready for quantum-level cybersecurity attacks, which are inevitable as quantum computing becomes more accessible around the world. Nokia brings a structured framework and a collaborative partner-based approach combined with our world-leading networking expertise with extensive experience managing large-scale and complex deployments with multi-connectivity domain and multi QKD vendor technologies.”

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[To share your insights with us, please write to sghosh@martechseries.com]

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Aira Technologies demonstrates interoperability between its energy saving rApp and the VMware cRIC, in a multi-vendor, end-to-end 5G test set-up at the i14y Lab in Berlin, Germany, as part of the O-RAN ALLIANCE Global PlugFest Fall 2023

Aira Technologies, a pioneer in the application of machine learning (ML) to radically improve wireless telecommunications, announced that together with VMware by Broadcom, they successfully demonstrated Aira’s Energy Management rApp integration, functionalities, and performance with the VMware cRIC as a non-RT RIC framework utilizing the VIAVI TeraVM network emulator in an O-RAN-based end-to-end network.

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To demonstrate interoperability, Aira set up an end-to-end configuration for the energy management use case test, using a VIAVI TeraVM network emulator to emulate a multi-layer 5G network. The Aira rApp runs atop the VMware cRIC which is connected to the TeraVM emulator, the source of network KPIs. The Aira rApp receives the required KPIs through the R1 interface from the VMware cRIC DME, and then stores the data in an Amazon S3 storage bucket and DynamoDB on AWS. The rApp applies ML algorithms and determines optimal energy efficient configurations from these KPIs, generates new network configuration management (CM) settings and provides new network CM back to VIAVI TeraVM to minimize the power consumption without impacting the QoS, based on the defined threshold.

“Aira is built on the premise that the application of ML to all layers of the RAN infrastructure stack can deliver breakthrough performance benefits to the operator community. What we have been able to achieve here showcases three very important things – the power of the Open RAN movement to accelerate innovation; the extraordinary potential for ML in cutting-edge wireless applications in 4G and 5G cellular networks; and the ability to inter-operate in a multi-vendor end-to-end test environment,” said Anand Chandrasekher, co-founder and CEO of Aira Technologies. “We look forward to continuing our work with VMware to make cellular networks significantly more energy efficient.”

Multi-layer cellular 5G network deployment typically features underlay coverage bands and overlay capacity bands. There are instances when capacity bands are not utilized, and keeping them on leads to unnecessary energy consumption. For any given cell, however, there is an optimal active band combination that minimizes power consumption while still meeting the throughput demands of the users attached to the radio unit (RU). This is a non-trivial problem to solve, since the throughput demands of the cell vary with time, and new cell configurations cannot be implemented too frequently. This is precisely the type of problem to which Machine Learning (ML) techniques can be applied, to increase the accuracy of the decision-making process.

Aira’s ML-based Dynamic Radio Network Management application solves this problem by using ML models to predict wireless network traffic demand, and choosing the active band combination that jointly optimizes power consumption and user experience. The rApp will receive RAN contextual information (e.g., DRB UL/DL throughput, PRB utilization) via the R1 interface to the non-RT RIC and provide new configuration management (CM) data back to the network emulator through Service Management and Orchestration (SMO).

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“Modern mobile networks are supporting ever-increasing demands for wireless throughputs with advanced, highly configurable features. These features are also driving up the energy footprint of these networks. Optimally configuring these features to minimize energy consumption without negatively impacting the overall user experience presents an extremely formidable multi-dimensional optimization problem. Aira is applying a machine learning-powered, data-driven approach to solve this problem,” said Ravikiran Gopalan, co-founder and CTO of Aira Technologies. “We are very excited to demonstrate inter-working with the VMware non-real time RIC at the i14y Lab PlugFest in Berlin, and in the process, play a part in making future mobile networks greener.”

The VMware cRIC platform has been built with a clear focus on open interfaces and multi-vendor interoperability, enabling innovative companies such as Aira to run a broad variety of innovative rApps.

“We’ve committed to helping grow RIC by fostering a robust partner ecosystem. Like Aira Technologies, we see an opportunity to help Communication Service Providers (CSPs) become more energy efficient, and RIC plays a role in helping drive that efficiency. We are proud of our collaboration with Aira to leverage the RIC to demonstrate energy optimization enabled by its ML app,” said Lakshmi Mandyam, vice president, Product Management and Partner Ecosystems, VMware Software-Defined Edge Division, Broadcom.

The test set up was hosted at the i14y Lab in Berlin, Germany – supported by Deutsche Telekom and EANTC and i14y consortium partners, as part of the O-RAN ALLIANCE Global PlugFest Fall 2023. The i14y Lab invited select vendors to participate in a plugfest to test multi-vendor solutions in a neutral third-party environment.

O-RAN ALLIANCE Global PlugFests are periodic events organized and co-sponsored by O-RAN ALLIANCE to enable efficient progress of the O-RAN ecosystem through well-organized testing and integration. Vendors and providers come together to test, evaluate and verify their products and solutions.

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