Why Private Pre-Shared Key (PPSK) is a Simple and Scalable Way to Secure Your Wi-Fi Network

We know that our customers have different network requirements and need to support all different types of various devices. While devices like Mac and PC laptops work great with 802.1x, there are plenty of situations where IT managers don’t want to go through the process of deploying it. How can you have great enterprise Wi-Fi security without the hassle?

Spotlight

Seguro

Fortinet, Inc. is Computer & Network Security multinational corporation founded in 2003

OTHER ARTICLES
5G

5G Small Cells: The Future of Wireless Networks

Article | September 28, 2023

5G small cells form the backbone of the modern wireless networks. Learn more about this technology is revolutionizing 5G deployment and enabling various use cases across industries in this article. Contents 1 Introduction to 5G Small Cells for Modern Businesses 2 5G Small Cells: Overview 2.1 Characteristics of 5G Small Cells 2.2 How Small Cells Fit into 5G Architecture 3 Benefits of 5G Small Cells for Businesses 3.1 Improved Coverage and Capacity 3.2 Enhanced Network Performance 3.3 Lower Latency 3.4 Cost-effectiveness 4 Use Cases for 5G Small Cells 4.1 Urban Areas 4.2 Rural Areas 4.3 Indoor Environments 5 Conclusion 1 Introduction to 5G Small Cells for Modern Businesses Small cells are low-power radio access nodes that operate in licensed and unlicensed spectrum bands and are typically deployed in areas with high demand for wireless connectivity. They are a vital component of the 5G wireless network architecture and are designed to complement traditional cell towers, providing improved coverage, network capacity, and faster data speeds. Small cells come in several types, including femtocells, picocells, and microcells, and can be deployed according to the use case. 2 5G Small Cells: Overview 2.1 Characteristics of 5G Small Cells 5G small cells are characterized by small form factors and are designed to be compact and discreet for deployment in various settings, such as urban areas, rural areas, indoor environments, and public spaces. In addition, they consume less power than traditional cell towers, making them more energy-efficient. They also operate on high-frequency bands, which enables them to provide faster data speeds and lower latency than traditional cell towers, which makes small cells essential for 5G. The 5G small cell architecture can be deployed in dense networks, providing better coverage and capacity in areas where traditional cell towers may not be able to reach. Also, a 5G small cell antenna can be configured to provide seamless handoffs between cells, ensuring users have a consistent and uninterrupted wireless experience. These characteristics make them ideal for specific 5G use cases, which will be explored further in the article. 2.2 How Small Cells Fit into 5G Architecture Small cells and 5G evolution are closely linked, and this technology is an ideal solution for future wireless networks. They offer greater capacity, coverage, and flexibility than traditional cell towers, allowing them to meet the demands of an increasingly connected world. By operating on high-frequency bands and being deployed in dense networks, small cells in 5G can provide faster data speeds, lower latency, and better coverage than previous generations of wireless networks. Additionally, their small form factor and flexible deployment options allow for use cases like private 5G networks that revolutionize industries. 3 Benefits of 5G Small Cells for Businesses 5G networks will support a massive increase in connected devices, including smartphones, IoT sensors, and other devices. Small cells are critical for achieving the full potential of 5G networks and the exciting new applications and services they will enable. 3.1 Improved Coverage and Capacity 5G small cells offer improved coverage over traditional cell towers in certain situations, particularly in urban areas. Buildings and other obstacles interfere with wireless signals, so the connection quality decreases in areas with such infrastructure. By deploying small cells closer to users, the network can provide better coverage and capacity in these areas. Small cells can also be deployed indoors, providing better coverage and capacity in buildings and other enclosed spaces. This is important due to poor wireless range, signal interference from walls, and other obstacles. By deploying small cells indoors, the network can provide better coverage and capacity in these areas, improving the overall wireless experience for users. 3.2 Enhanced Network Performance The deployment of small cells enables network densification, which allows several devices to connect to the network simultaneously. This can help reduce network congestion and improve overall network performance, particularly in urban areas. They can also be configured to provide seamless handoffs between cells, ensuring that users have a consistent and uninterrupted wireless experience. This is important because users often move between different areas with different coverage levels and capacities, providing a streamlined experience. 3.3 Lower Latency Small cells are designed to operate on high-frequency bands, which enables them to provide faster data speeds and lower latency than prior generations of wireless networks. This is especially important for applications that require real-time communication, such as virtual reality, autonomous vehicles, and remote surgery. By providing faster data speeds and lower latency, small cells can help enhance these applications' performance, providing a better overall user experience. 3.4 Cost-effectiveness Small cells offer a cost-effective alternative to traditional cell towers, particularly in urban areas with high land and real estate costs. By mounting 5G small cell antennas on existing infrastructure, such as lampposts and buildings, deployment costs can be lowered. Additionally, small cells can be deployed in a modular fashion, allowing for targeted and cost-effective expansion based on the required coverage and capacity. This approach avoids large-scale and expensive deployments of new infrastructure. Moreover, small cells can be powered by low-cost, low-power sources like solar panels or batteries, reducing ongoing operational costs. Furthermore, small cells consume less power than traditional cell towers, resulting in lower energy costs. 4 Use Cases for 5G Small Cells 4.1 Urban Areas As discussed previously, small cell radio antennas in 5G can improve networks in dense urban environments, alleviating network congestion and improving data speeds. In addition, by deploying small cells in areas with high user demand, network operators can provide targeted coverage and capacity improvements to specific areas, ensuring that users have fast and reliable connectivity. 4.2 Rural Areas Small cells can be used to extend coverage to underserved or unserved areas by traditional cell towers. They can fill in coverage gaps, providing reliable connectivity to users in rural areas that may not have access to high-quality wireless services. This will enable use cases such as remote workforces in rural areas, smart agriculture, and distance education and training. 4.3 Indoor Environments Traditional cell towers may not be able to provide reliable connectivity indoors due to physical barriers such as thick walls and ceilings. Small cells can provide targeted coverage and capacity to specific areas, such as conference rooms or shopping malls, where users require high-quality wireless connectivity. In addition to improving range, small cells can help alleviate network congestion and improve data speeds in high-traffic indoor environments. 5 Final Thoughts Small cells are a crucial element in developing and implementing 5G technology. By leveraging a small form factor and high-frequency band usage, small cells facilitate the deployment of 5G networks in a more cost-effective and targeted manner than traditional cell towers. They support a wide range of use cases by providing reliable and high-quality wireless connectivity to a growing number of devices. They will continue to be a critical technology for businesses and organizations seeking to leverage the benefits of 5G technology.

Read More
Wireless, 5G

How Can Machine Learning Streamline Networking?

Article | May 18, 2023

Applications of AI/ML Modern businesses are adopting Artificial Intelligence (AI) that encompasses disciplines like machine learning (ML), natural language processing (NLP), evolutionary computation, etc., to increase their productivity and management capabilities. Companies like Qualcomm are using AI and machine learning to improve their customer experience. “Across many industries, we are currently experiencing the creation of intelligent machines that is using AI to simulate smart behavior.” -Dr. Vinesh Sukumar, Senior Director- Head of AI/ML Product Management at Qualcomm, ( in an interview with Media7) The application of machine learning in networking is swiftly taking shape. However, as the problems in modern computer networks are getting tedious to handle, AI tools are being introduced to hard-carry their smooth functioning. Let’s take a look at how network complexity impacts businesses: Difference in Network Parameters Different client devices like laptops, smartphones, CCTV cameras, etc., are connected to a single network. However, their requirements and parameters are different. Therefore, the IT team of the business needs to meet them without compromising the functionality and security of the network. Users Prefer Wireless Networks Wireless networks are more complex than wired ones. They perform dynamically depending on the number of users, applications, and other variables. Impact of Cloud Computing Most applications are now cloud-based, and such a network has multiple data entry points and requires more support. User Experience Deciphering root cause analysis, finding correlation and solutions becomes tedious without an AI/ML model. Complex patterns remain unanalyzed, and this creates a vacuum between the customer and the business. What Does ML Bring to the Table? Machine learning applications in networking correlate to solving four types of network problems: clustering, extraction, regression, and classification. For classification and regression, ML clusters similar data and creates a gap between data groups. It then successfully maps a new set of data to a pre-set continuously valued output. As for extraction, it easily establishes a statistical relationship between the data it analyzes. Machine learning applications in networking encompass the following: Automation and Cognitive Computing ML enables automation in data processing by eliminating the human error factor and constantly improving with time. It analyzes data, improves the productivity, security, and health of the network. Cognitive computing allows processing diverse data sets, detecting and finding root causes and common traits within the system. Network Monitoring & Security Network monitoring is used to solve problems in a large dataset by deciphering the hidden pattern in the data. It then predicts the outcome for clustered data, malware attacks, or impending network failure. It recognizes impending threats in time and sends out warnings. ML uses anomaly-based intrusion, misuse-based intrusion, or hybrid intrusion to prevent misuse, modification, unauthorized access, or malfunction. Traffic Prediction, Classification, and Routing Network traffic prediction is important to handle any mishaps proactively. Network analysis in machine learning is done by using Time Series Forecasting (TSF). By using a regression model solution, TSF finds a correlation between the traffic volume in the future and the traffic previously observed. Traffic classification ensures Quality of Service (QoS), planning ahead for capacity, security, performance analysis, etc. It helps with proper resource utilization by pinpointing unnecessary traffic in a critical application. Factors like cost-effectiveness, link utilization, operational capabilities, and policies are also considered by the ML model. Congestion Control ML models control the number of packets that enter a network to ensure that the network is stable, fairly utilize resources, and follow queue management employed for congestion control. Efficiently Managing Resources ML efficiently manages network resources like the CPU, frequency, switches, memory, routers, etc., by using analytical decision-making. ML Learning Curve ML models learn in the following ways: Pitfalls Like any other technology, machine learning application in networking comes with pitfalls and limitations. Here are a few: Data Quality The efficiency of an ML model is based on the quality, quantity, and diversity of data it processes so it can deduce patterns or identify root causes. Most ML models use simplistic synthetic data for training, validation, and performance. The same cannot be said about practical settings because the data comes from different applications and services and is more complex. Feasibility There are scalability and feasibility issues because each network and application is different. Moreover, there are no set standards for uniformity for implementation which makes it hard to set benchmarks or best practices. Control over autonomic networks is distributed and remains limited based on the vendor’s specific devices. Predictive Analysis and Its Cost Network analysis and machine learning prediction require additional accurate and effective monitoring investments. Moreover, fault management may have some potholes as there may be a scarcity of normal fault data. High FPR (False Positive Rates) Anomaly detection by ML in networking has not created enough buzz in the industry because it generates high FPRs during operations. Also, no detailed anomaly report is generated, so no anomaly history log can be maintained. Striking a Balance ML requires time to learn and mitigate issues. It is difficult to identify, in advance, how complex the ML’s approach will be. Striking a balance between the performance and computational cost is difficult. Deciphering comprehensive evaluation metrics is also a tedious task. No Theoretical Model There is no theoretical model, in turn, a unified theory, for ML in networking, so each network may have to be learned separately. The current machine learning applications in networking are made keeping in mind certain applications. Over time, more research to tailor ML for certain networks needs to be done. Cross-domain experts who understand both ML and networking are also rare. Solutions Software Defined Networking (SDN) CISCO helped PwC Italy set up a secure network at their new twenty-eight-floor tower with the help of their SD-Access product. PwC wanted a secure, robust network with increased Wi-Fi and wired connectivity for their 3000 employees by streamlining network operations. “We needed a robust and highly reliable wireless network infrastructure that’s as advanced as the tower itself.” -Simone Demaria,Network Architect and Infrastructure Manager at PwC Italy By applying Software Defined Network (SDN), IT personnel can remotely govern network policies in real-time through open interfaces, so traffic engineering is easily possible. SDN also contributes to network virtualization. SDN supports the upcoming 5G ecosystem. When combined with NFV and VNF, SDN can revolutionize networking. Going Beyond Traffic Volume & Prediction To tackle the limitations that TSF-based traffic prediction models have, leveraging features beyond traffic prediction and concentrating on traffic interpolation and sampling could be viable. Research is ongoing on this possibility. Summing It Up As the influx of data keeps on increasing, the complexity of networks will increase in tandem. For successfully implementing ML for streamlining networking, the ML approaches we are aware of today need to be upgraded to accommodate multi-layer networks and multi-tenancy so autonomic networking can be a reality. FAQs How Can ML Help in Making Networking Smarter? ML can streamline the network by automation, threat detection, and improving its performance. How Complex Is Integrating ML into Networking? The complexity depends on the type of network you are integrating it into. What to Keep in Mind Before Using Ml in Networking? Consider investment costs, data availability, feasibility, and scalability. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How Can ML Help in Making Networking Smarter?", "acceptedAnswer": { "@type": "Answer", "text": "ML can streamline the network by automation, threat detection, and improving its performance." } },{ "@type": "Question", "name": "How Complex Is Integrating ML into Networking?", "acceptedAnswer": { "@type": "Answer", "text": "The complexity depends on the type of network you are integrating it into." } },{ "@type": "Question", "name": "What to Keep in Mind Before Using Ml in Networking?", "acceptedAnswer": { "@type": "Answer", "text": "Consider investment costs, data availability, feasibility, and scalability." } }] }

Read More
Data Center Networking

Meet Delta Sharing: Access more data with secure, open source data sharing

Article | July 5, 2023

If we’ve learned anything in the past year, it’s how much our progress hinges on the ability to share and collaborate around data.During the pandemic, we watched as scientists from around the world raced to develop COVID-19 vaccines in record time. A process that typically takes 10 to 15 years took less than a year—due in part to global collaboration and data sharing. As we transition to the post-COVID-19 era, the “need for speed has never been greater,” says McKinsey. The organizations that will thrive in this new economy will facilitate collaboration, empower individuals and teams, and build impactful partnerships. That success requires shifting from the traditional “don’t share data unless” mindset to a data-sharing mindset grounded in a solid foundation of technology, data-driven culture, and processes.

Read More

How a 5G coronavirus conspiracy spread across Europe

Article | April 16, 2020

At about 9.30pm on Easter Monday, in the small Dutch town of Almere near Amsterdam, the fire brigade was called to put out a blaze at a large telecoms mast—the second fire of its kind that night in the area. Though neither of the Almere towers were equipped with any of the latest 5G telecoms equipment—in fact one was designed only for use by the emergency services—authorities soon concluded that the fires were perpetrated by vandals acting in the name of an unusual theory: that 5G networks have contributed to the coronavirus pandemic.

Read More

Spotlight

Seguro

Fortinet, Inc. is Computer & Network Security multinational corporation founded in 2003

Related News

Network Infrastructure

Algeria Telecom Deploys NEC & Juniper Networks' 5G-Ready IP MTA

Algeria Telecom | May 31, 2022

NEC Corporation, a world's leading IT and network transformation service company, and Juniper Networks, a leader in secure, AI-driven networks, have worked with Algeria Telecom, the leader in the Algerian telecommunications market, to roll out its modernized, nationwide IP metro commercial network to support current demand for increased capacity and future 5G and FTTx requires. Algeria Telecom has a mid-term strategy objective to develop a homogenized, optimized transport network with automated capabilities to ensure bandwidth and future-proof its infrastructure in a rising market. NEC and Juniper implemented Algeria Telecom's next-generation IP metro network while maintaining quality of service and the greatest user experience. Algeria Telecom chose Juniper Networks' high-performing, security solutions for SDN-ready, cloud-grade networking and feature-rich, simple and secure connectivity at scale as the innovative foundation of its new platform. The access nodes create separate pre-aggregation, aggregation, and access domains for optimal reliability. Algeria Telecom implemented the Juniper Paragon Automation cloud-native solution package, Paragon Pathfinder and Paragon Planner, to get deep network insight and simplify operations. This ensures 5G and multicloud user experiences. All Juniper systems operate on Junos OS to deliver an easily managed, open solution. Mr. Adel Bentoumi, CEO of Algeria Telecom said that "The successful completion of the IP metro network modernization project by our partners, NEC Corporation and Juniper Networks, will allow us to make the migration to IPV6 and the initiation of digital transformation, as well as the implementation of high speed internet, as we best satisfy the needs of Algeria Telecom customers." The rapid growth of network traffic is a clear indication of the need for modernization and expansion of network capacity. NEC and Juniper have been extremely attentive to our needs, both technical and commercial, working as an extension of our team with their outstanding local engineering abilities, as well as their relentless efforts to assure quality of experience and on-time delivery. Overall, the innovative solutions from Juniper to enable this automated metro cloud architecture have helped us achieve our strategic goals and thrive as we pave the way for 5G.” AllahoumHocine, Head of IP Core, Algeria Telecom Brendan Gibbs, Senior Vice President, Automated WAN Solutions, Juniper Networks said that “Networks have always been a key asset for service providers, but going forward they will be the foundation for every aspect of business transformation in the 5G and cloud era. Algeria Telecom is jumping ahead of the curve by investing in an open, agile and automated network architecture that can drive simplified operations, improved economics and superior end-user experiences.”

Read More

Wireless

TDK Ventures Invests in XCOM Labs

TDK | May 30, 2022

TDK Corporation today announced that its subsidiary TDK Ventures, Inc. has decided to invest in wireless communications disruptor XCOM Labs to accelerate the development of their 5G and wireless communications solutions, which prioritize bandwidth capacity, latency reduction/elimination, and compute load balancing. XCOM is developing wireless technologies to allow smart manufacturing, automation, off-site training, and more immersive telework experiences in the future of work and Industry 4.0. This extends beyond medical, entertainment, and even defense applications to aid in the training and preparation of military troops. Many of the breakthrough technologies seen in the 2G/3G/4G revolutions were developed by XCOM's leadership team, which included Dr. Paul Jacobs, Derek Aberle, and Matt Grob. As present infrastructure cannot keep up with the need for 5G and wireless infrastructure, there is a large demand for further growth and adoption of supporting technologies. Each "G" generation signifies an effort to increase wireless transmission speed, capacity, and overall value. This necessitates not only hardware and software improvements, but also the use of either frequency spectra in new and novel waves or very new frequency bands. The balance of energy, frequency, and transmission is one of several compromises. Higher frequency – and consequently energy signals – can transport more information in less time but degrade faster over distance. In terms of infrastructure, this implies that more transmitting "nodes" in the network are required to convey higher frequency signals over a given region. XCOM is developing technologies that will level the playing field. Their solutions aim to increase spectrum capacity and utility by more than tenfold, allowing the potential promised by 5G and next-generation developers to become a reality. XCOM, for example, is developing further to take digital transformation to the next level via extended reality (XR). They are building a high throughput, low latency wireless technology to enable seamless virtual reality (VR) and augmented reality (AR) experiences utilizing a globally accessible 60GHz millimeter wave spectrum. What was previously constrained by the necessity for heavy processing equipment nearby or the poor throughput of smartphone processing is now becoming a full system capable of immersing the user in a metaverse or digital world environment. This will be a significant advancement in the integration of edge computing processing to deliver a more natural user experience. The XCOM team is set on continuing our tradition of excellence and innovating in the wireless space. We understand how important high throughput/low latency is for the future of compute-heavy applications and are working to deliver those capabilities to create real and positive change in our world and industry applications. Our XR technologies are evidence of this progress and show that seamless processing through edge computing can deliver a truly immersive and agile VR/AR system fit for business, entertainment, and more." XCOM's Dr. Jacobs TDK Ventures shares XCOM's dedication to digital transformation for a better, more sustainable future. TDK Ventures will assist XCOM with scaling the effect of their technology by using their network connections, industry partners, and linking XCOM to other TDK business divisions. The platform team at TDK Ventures also offers early product validation, pilots, customer/channel/ecosystem access, market knowledge, operational experience (e.g., materials, manufacturing, fabless, supply chain), and go-to-market/branding coaching.

Read More

Wireless

Vislink Showcases Innovative 5G & Cloud-Based Wireless Solutions

Vislink | May 27, 2022

Vislink, a worldwide leader in the capture, distribution, and management of high quality, live video and data in the media & entertainment, law enforcement, and military industries, presented private network 5G technology during a sports event in the UK to illustrate its potential in broadcast. Vislink and Mobile Viewpoint's adoption heralds a revolution in remote production processes by extending bi-directional IP connections to the edge and allowing virtualized production in the cloud. Vislink's breakthroughs were on display at the Gallagher Premiership Rugby match between Saracens and the Northampton Saints at StoneX Stadium in London, where it backed a BT-led project to highlight the potential for 5G in broadcast contributions by connecting matchday cameras to a standalone private 5G network. In a UK first, this cameras' feed was included in BT Sport's live broadcasts of the match, a first for a customer broadcast. BT Media & Broadcast, BT Sport, Broadcast RF, and Neutral Wireless headed the project. Vislink installed private network 5G transmitters with COFDM technology to illustrate how 5G technology is growing to offer assured quality, low latency video from wireless cameras to give spectators realistic up-close camera views of the athletic event. Mobile Viewpoint's 5G-enabled encoders send camera feeds to the cloud across a secure, low-latency 5G private network and IP LAN. The director can pick camera feeds for the program stream fully in the cloud, utilizing BT Sport's virtualized production process. This cloud-based installation illustrates Mobile Viewpoint's capacity to bring new cost and operating advantages for distant manufacturing operations. Vislink's long-standing expertise in COFDM-based wireless technologies was bolstered last year with the inclusion of Mobile Viewpoint 5G technology capabilities. Vislink now has a best-of-breed portfolio of resilient and efficient solutions for a broad range of deployment situations thanks to the integration of these technologies. Following on from the world's first stand-alone private 5G network for sports broadcasting during the British MotoGP 2021 Grand Prix, this current public demonstration signals another step forward in the company's 5G wireless technology leadership. Vislink and Mobile Viewpoint showed the world's first glass-to-glass All-IP wireless and virtualized manufacturing during this experiment, which was arranged by BT Sport and BT Media & Broadcast. This momentous trial has now established the future course for live event streaming.

Read More

Network Infrastructure

Algeria Telecom Deploys NEC & Juniper Networks' 5G-Ready IP MTA

Algeria Telecom | May 31, 2022

NEC Corporation, a world's leading IT and network transformation service company, and Juniper Networks, a leader in secure, AI-driven networks, have worked with Algeria Telecom, the leader in the Algerian telecommunications market, to roll out its modernized, nationwide IP metro commercial network to support current demand for increased capacity and future 5G and FTTx requires. Algeria Telecom has a mid-term strategy objective to develop a homogenized, optimized transport network with automated capabilities to ensure bandwidth and future-proof its infrastructure in a rising market. NEC and Juniper implemented Algeria Telecom's next-generation IP metro network while maintaining quality of service and the greatest user experience. Algeria Telecom chose Juniper Networks' high-performing, security solutions for SDN-ready, cloud-grade networking and feature-rich, simple and secure connectivity at scale as the innovative foundation of its new platform. The access nodes create separate pre-aggregation, aggregation, and access domains for optimal reliability. Algeria Telecom implemented the Juniper Paragon Automation cloud-native solution package, Paragon Pathfinder and Paragon Planner, to get deep network insight and simplify operations. This ensures 5G and multicloud user experiences. All Juniper systems operate on Junos OS to deliver an easily managed, open solution. Mr. Adel Bentoumi, CEO of Algeria Telecom said that "The successful completion of the IP metro network modernization project by our partners, NEC Corporation and Juniper Networks, will allow us to make the migration to IPV6 and the initiation of digital transformation, as well as the implementation of high speed internet, as we best satisfy the needs of Algeria Telecom customers." The rapid growth of network traffic is a clear indication of the need for modernization and expansion of network capacity. NEC and Juniper have been extremely attentive to our needs, both technical and commercial, working as an extension of our team with their outstanding local engineering abilities, as well as their relentless efforts to assure quality of experience and on-time delivery. Overall, the innovative solutions from Juniper to enable this automated metro cloud architecture have helped us achieve our strategic goals and thrive as we pave the way for 5G.” AllahoumHocine, Head of IP Core, Algeria Telecom Brendan Gibbs, Senior Vice President, Automated WAN Solutions, Juniper Networks said that “Networks have always been a key asset for service providers, but going forward they will be the foundation for every aspect of business transformation in the 5G and cloud era. Algeria Telecom is jumping ahead of the curve by investing in an open, agile and automated network architecture that can drive simplified operations, improved economics and superior end-user experiences.”

Read More

Wireless

TDK Ventures Invests in XCOM Labs

TDK | May 30, 2022

TDK Corporation today announced that its subsidiary TDK Ventures, Inc. has decided to invest in wireless communications disruptor XCOM Labs to accelerate the development of their 5G and wireless communications solutions, which prioritize bandwidth capacity, latency reduction/elimination, and compute load balancing. XCOM is developing wireless technologies to allow smart manufacturing, automation, off-site training, and more immersive telework experiences in the future of work and Industry 4.0. This extends beyond medical, entertainment, and even defense applications to aid in the training and preparation of military troops. Many of the breakthrough technologies seen in the 2G/3G/4G revolutions were developed by XCOM's leadership team, which included Dr. Paul Jacobs, Derek Aberle, and Matt Grob. As present infrastructure cannot keep up with the need for 5G and wireless infrastructure, there is a large demand for further growth and adoption of supporting technologies. Each "G" generation signifies an effort to increase wireless transmission speed, capacity, and overall value. This necessitates not only hardware and software improvements, but also the use of either frequency spectra in new and novel waves or very new frequency bands. The balance of energy, frequency, and transmission is one of several compromises. Higher frequency – and consequently energy signals – can transport more information in less time but degrade faster over distance. In terms of infrastructure, this implies that more transmitting "nodes" in the network are required to convey higher frequency signals over a given region. XCOM is developing technologies that will level the playing field. Their solutions aim to increase spectrum capacity and utility by more than tenfold, allowing the potential promised by 5G and next-generation developers to become a reality. XCOM, for example, is developing further to take digital transformation to the next level via extended reality (XR). They are building a high throughput, low latency wireless technology to enable seamless virtual reality (VR) and augmented reality (AR) experiences utilizing a globally accessible 60GHz millimeter wave spectrum. What was previously constrained by the necessity for heavy processing equipment nearby or the poor throughput of smartphone processing is now becoming a full system capable of immersing the user in a metaverse or digital world environment. This will be a significant advancement in the integration of edge computing processing to deliver a more natural user experience. The XCOM team is set on continuing our tradition of excellence and innovating in the wireless space. We understand how important high throughput/low latency is for the future of compute-heavy applications and are working to deliver those capabilities to create real and positive change in our world and industry applications. Our XR technologies are evidence of this progress and show that seamless processing through edge computing can deliver a truly immersive and agile VR/AR system fit for business, entertainment, and more." XCOM's Dr. Jacobs TDK Ventures shares XCOM's dedication to digital transformation for a better, more sustainable future. TDK Ventures will assist XCOM with scaling the effect of their technology by using their network connections, industry partners, and linking XCOM to other TDK business divisions. The platform team at TDK Ventures also offers early product validation, pilots, customer/channel/ecosystem access, market knowledge, operational experience (e.g., materials, manufacturing, fabless, supply chain), and go-to-market/branding coaching.

Read More

Wireless

Vislink Showcases Innovative 5G & Cloud-Based Wireless Solutions

Vislink | May 27, 2022

Vislink, a worldwide leader in the capture, distribution, and management of high quality, live video and data in the media & entertainment, law enforcement, and military industries, presented private network 5G technology during a sports event in the UK to illustrate its potential in broadcast. Vislink and Mobile Viewpoint's adoption heralds a revolution in remote production processes by extending bi-directional IP connections to the edge and allowing virtualized production in the cloud. Vislink's breakthroughs were on display at the Gallagher Premiership Rugby match between Saracens and the Northampton Saints at StoneX Stadium in London, where it backed a BT-led project to highlight the potential for 5G in broadcast contributions by connecting matchday cameras to a standalone private 5G network. In a UK first, this cameras' feed was included in BT Sport's live broadcasts of the match, a first for a customer broadcast. BT Media & Broadcast, BT Sport, Broadcast RF, and Neutral Wireless headed the project. Vislink installed private network 5G transmitters with COFDM technology to illustrate how 5G technology is growing to offer assured quality, low latency video from wireless cameras to give spectators realistic up-close camera views of the athletic event. Mobile Viewpoint's 5G-enabled encoders send camera feeds to the cloud across a secure, low-latency 5G private network and IP LAN. The director can pick camera feeds for the program stream fully in the cloud, utilizing BT Sport's virtualized production process. This cloud-based installation illustrates Mobile Viewpoint's capacity to bring new cost and operating advantages for distant manufacturing operations. Vislink's long-standing expertise in COFDM-based wireless technologies was bolstered last year with the inclusion of Mobile Viewpoint 5G technology capabilities. Vislink now has a best-of-breed portfolio of resilient and efficient solutions for a broad range of deployment situations thanks to the integration of these technologies. Following on from the world's first stand-alone private 5G network for sports broadcasting during the British MotoGP 2021 Grand Prix, this current public demonstration signals another step forward in the company's 5G wireless technology leadership. Vislink and Mobile Viewpoint showed the world's first glass-to-glass All-IP wireless and virtualized manufacturing during this experiment, which was arranged by BT Sport and BT Media & Broadcast. This momentous trial has now established the future course for live event streaming.

Read More

Events