Citrix SD WAN Orchestrator - Configure Office 365

We’ll look at setting up routing policy for Office 365 traffic allowing for local public internet access at site locations, but also provide failover to backhaul the traffic through a transit site if needed.

Spotlight

TechAccess Distribution

TechAccess is a leading value-added IT distributor, providing end-to-end business solutions to the enterprise and mid-market sectors. Our charter is to acquire, retain and develop a sustainable and profitable channel for our Vendors and Resellers. Headquartered in Dubai, with branch offices in Riyadh and Cairo our operations extend to over 16 countries across the Middle East, Levant and North Africa. We provide IT products and solutions from the most innovative, networking, storage, hardware, software and security vendors in the industry.

OTHER ARTICLES
Enterprise Mobility

Reflecting on a year of partnership to advance data for racial justice

Article | June 15, 2023

One year ago, Tableau Foundation launched our Racial Justice Data Initiative out of a core belief that data can and should play a transformative role in the fight for racial equity and justice in the United States. We have forged new partnerships and deepened existing relationships with organizations committed to using data to raise awareness of inequities, point to solutions, and advocate for progress. Just today, we announced two new partnerships that will deepen our commitment to advancing racial equity in the Southern US with—Southern Economic Advancement Project (SEAP) and Fair Count. We believe that data can be a powerful resource in both identifying the experiences and challenges of people whose voices we may not normally hear and help create the necessary programs, policies, and resources needed to ensure these same people are not left behind

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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." } }] }

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Enterprise Mobility, Mobile Infrastructure

A historic data center quarter with over 15% of servers running on AMD

Article | June 16, 2023

The second quarter of 2020 was the strongest second quarter the data center market has ever recorded. Server shipments in what is seasonally a weak period exceeded 3.4 million units. Despite this record baseline, first data points on 2Q21 indicate server shipments exceeded 3.4 million units yet again. Demand for data center compute continues to be strong and we believe 2Q21 would have been even stronger had it not been for semiconductor supply shortages. We saw strong indication that shortages in CPU substrate materials and other components impacted server supply in 2Q21. This seems to have impacted Intel in particular with AMD gaining share in the quarter. AMD set their own record, for the first time crossing the 15% server market share threshold. It looks like demand from hyperscale cloud service providers, and Google in particular, has been a big contributing factor for AMD’s strong performance. The historic best AMD performance in the data center server market was in 2006 when 14% of the servers shipped were configured with an AMD CPU. 2Q21 indeed proves that the EPYC roadmap is highly competitive. In 2Q21, servers with arm-based CPUs again made up a

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Connecting the Unconnected, RuralStar Brings Digital Life to Everyone

Article | June 30, 2021

When you're immersed in ultra-fast 5G amazing services, 600 million people around the world are still blocked from accessing mobile networks. When you experience seamless online shopping and online education, 3.4 billion people worldwide have not experienced mobile Internet services. On the road where connections are not connected, no one will be left behind. We can feel the life changes by RuralStar deployment.

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Spotlight

TechAccess Distribution

TechAccess is a leading value-added IT distributor, providing end-to-end business solutions to the enterprise and mid-market sectors. Our charter is to acquire, retain and develop a sustainable and profitable channel for our Vendors and Resellers. Headquartered in Dubai, with branch offices in Riyadh and Cairo our operations extend to over 16 countries across the Middle East, Levant and North Africa. We provide IT products and solutions from the most innovative, networking, storage, hardware, software and security vendors in the industry.

Related News

Enterprise Mobility,Mobile OS

MATRIXX Software’s Digital Commerce Platform Available in Microsoft’s Azure Marketplace

MATRIXX | January 27, 2023

5G monetization solutions leader, MATRIXX software, yesterday announced that the MATRIXX Digital Commerce Platform (DCP) is now available on the Microsoft Azure Marketplace, an online store providing software and services to be used with the Azure cloud computing platform. MATRIXX DCP, a cloud native monetization platform gives Communications Services Providers (CSPs) a wide range of monetization options, making it simpler to take advantage of 5G revenue prospects. By installing MATRIXX DCP on Azure Kubernetes Service (AKS), CSPs may take full advantage of the reliable Azure cloud platform's benefits for the vital goal of monetizing new and cutting-edge services. With a no-code, cloud-native, real-time platform, MATRIXX DCP, a 3GPP-compliant converged charging solution, enables telcos to monetize at web scale. With MATRIXX DCP, operators can scale swiftly in the 5G era and beyond, create differentiated digital consumer experiences, and drive innovation. Marc Price, CTO at MATRIXX Software, said, “Multi-cloud deployments are increasingly important for operators around the world, and are defining the next era of telecommunications.” He further added, “MATRIXX empowers our customers to have access to advanced monetization capabilities, wherever they choose to deploy. Microsoft is a trusted cloud ecosystem partner for CSPs, and with MATRIXX DCP in the Microsoft Azure Marketplace, telcos can easily procure and deploy monetization capabilities for emerging services.” About MATRIXX Software Matrix Software provides converged charging and commerce solutions. It’s cloud-native Digital Commerce Platform offers mission-critical, network-grade software that opens new prospects for network monetization. MATRIXX gives service providers the agility they need to quickly build, deploy, and monetize new products and services because to its no-code configuration features. Many of the world’s top IoT players, network infrastructure providers, and communications firms run on the MATRIXX platform. Utilizing business innovation and on-demand customer experience through MATRIXX enables businesses to compete better, produce new revenue, and pursue growth possibilities across markets and verticals.

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Wan Technologies,Wireless,5G

AMD and Viettel Collaborate on 5G Mobile Network Expansion

AMD | December 05, 2022

AMD and Viettel High Tech (Member of Viettel Group) today announced the successful completion of a 5G mobile network field trial deployment conducted by Viettel and powered by AMD Xilinx Zynq™ UltraScale+™ MPSoC devices. As the largest telecom operator in Vietnam serving more than 130 million mobile customers, Viettel High Tech has a rich history of using AMD radio technology with prior 4G deployments and is now accelerating new networks via new 5G remote radio heads. Designed to meet the growing capacity and performance requirements of mobile users globally, the Viettel 5G mobile network is expected to be completed by the end of 2022. AMD is the exclusive radio unit silicon supplier for Viettel’s indigenous 5G radio development. After the successful completion of the first field trial, Zynq MPSoCs are now set to be extended to an additional 300 Macro 8T8R base stations and 900 5G 8T8R Macro radios. The Zynq UltraScale+ MPSoC was also chosen by Viettel for its first-generation 64T64R Massive MIMO radio which is currently being optimized for field trials. Viettel is developing the next generation of radios to also include Zynq UltraScale+ RFSoC devices, to provide industry-leading integration and higher performance. “Viettel is committed to advancing mobile technology leadership by working closely with AMD to incorporate its adaptable SoC technology into our new generation of 5G networks. Going from VHT's history of making 4G BTS, this decision to scale for the growing demands of 5G was based on evaluating various factors including flexibility, simplification, design stability and the experience of engineers.” Nguyen Vu Ha, general director of Viettel High Tech “5G provides new opportunities to offer higher levels of performance, power efficiency and new services along with increased reliability required to meet the growing data demands of cellular networks,” said Yousef Khalilollahi, corporate vice president of APAC sales, Adaptive and Embedded Computing Group, AMD. “We are proud of our close collaboration with Viettel and remain focused on enabling its mobile network to deliver the optimal end-user experience as well as the flexibility to evolve and grow as Viettel’s user base and required bandwidth continue to increase globally.” About Viettel High Tech As the R&D arm of Viettel Group, Viettel High Tech develops full 5G network architecture including 5 layers: Service/App layers, Core layers, Transportation layers, Access layers, Devices; makes Vietnam one of the few countries that can produce 5G equipment. Collaboration with the leading partners is VHT’s strategy. With the desire to experiment, exchange knowledge, further develop diverse fields, VHT is moving to accompany the international high-tech community. About AMD For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible.

Read More

Network Infrastructure,Network Management,Wan Technologies

Verizon continues to deploy 5G Ultra Wideband faster than expected

Verizon | December 06, 2022

Verizon now covers more than 175 million people with their ultra fast, ultra reliable 5G Ultra Wideband service, and will offer nationwide 5G Ultra Wideband in Q1 2023. The ongoing C-Band rollout is a full 13 months ahead of the original schedule, and continues to accelerate. Less than 21 months after announcing the results of the FCC’s C-band auction and after securing early access to an additional 30 markets this year, Verizon accelerated its build plan and surpassed its goal of reaching 175 million people covered by the end of 2022, a month ahead of schedule. “Our customers don’t stand still and neither does our network. Today, more than one out of every two Americans now have access to 5G Ultra Wideband. We know our customers rely on our service every day and we work for them – continuously enhancing, expanding and improving our wireless network. And as proud as I am to have crossed this milestone, I am equally proud of the way we are building our network – with the most advanced technologies, industry leading security, a robust fiber underpinning and a robust and varied spectrum portfolio. We are building this right. We are building this as a platform for innovation for years to come.” Hans Vestberg, Chairman and CEO of Verizon. Verizon’s 5G Ultra Wideband brings power and performance comparable to a wired broadband internet connection to customers’ pockets. With download speeds up to one gigabit per second and the capacity to support data-heavy actions, 5G Ultra Wideband frees people up to do things on the go that many could only do before when connected to their home internet service. This includes everything from downloading huge documents and seamlessly streaming movies in HD audio and video, to playing console quality games and conducting video chats, video conferencing and FaceTime calls with clear sound and video. Verizon customers have much more to look forward to Verizon will continue to build out its 5G Ultra Wideband network using C-band spectrum providing service for millions more customers in the coming months, but Verizon’s engineers are not losing sight of the other critical components that will give customers the most reliable, secure, and robust experience possible on the Verizon network. In addition to providing greater coverage, especially in rural and suburban areas, Verizon will also enhance capacity by activating 100 MHz of C-Band spectrum in many markets, a significant step up from the 60 MHz of spectrum available when deployment first began. Once all of its licensed spectrum is made available, Verizon will have up to 200 MHz of C-Band spectrum deployed in many markets, which will provide exceptional speed and capacity. Complementing the wide coverage of Verizon’s premier C-Band spectrum, Verizon will continue deploying 5G on mmWave spectrum which provides for exponential capacity in areas with significantly dense populations such as venues, stadiums, arenas, airports, major metro areas, office complexes and more. mmWave will also continue to be used for private network deployments when enterprise customers need the fastest, most robust 5G service available for their enterprise applications from wireless manufacturing solutions to connected vehicles to remote healthcare and more. In addition to making 5G more accessible to more people, Verizon will continue focusing on building out the advanced technologies that provide increased security, reliability and customized experiences for customers. Those advancements include fully deploying the 5G core with Verizon’s proprietary cloud platform built specifically for telco workloads, advancing the fiber network to handle exponential increases in data traffic, continuing massive virtualization of the network to add programmability and flexibility into the network, using artificial intelligence to drive reliability and performance, continuing to develop edge computing capabilities to drive down latency, and continuing to advance antenna configurations to drive speed and efficiency.

Read More

Enterprise Mobility,Mobile OS

MATRIXX Software’s Digital Commerce Platform Available in Microsoft’s Azure Marketplace

MATRIXX | January 27, 2023

5G monetization solutions leader, MATRIXX software, yesterday announced that the MATRIXX Digital Commerce Platform (DCP) is now available on the Microsoft Azure Marketplace, an online store providing software and services to be used with the Azure cloud computing platform. MATRIXX DCP, a cloud native monetization platform gives Communications Services Providers (CSPs) a wide range of monetization options, making it simpler to take advantage of 5G revenue prospects. By installing MATRIXX DCP on Azure Kubernetes Service (AKS), CSPs may take full advantage of the reliable Azure cloud platform's benefits for the vital goal of monetizing new and cutting-edge services. With a no-code, cloud-native, real-time platform, MATRIXX DCP, a 3GPP-compliant converged charging solution, enables telcos to monetize at web scale. With MATRIXX DCP, operators can scale swiftly in the 5G era and beyond, create differentiated digital consumer experiences, and drive innovation. Marc Price, CTO at MATRIXX Software, said, “Multi-cloud deployments are increasingly important for operators around the world, and are defining the next era of telecommunications.” He further added, “MATRIXX empowers our customers to have access to advanced monetization capabilities, wherever they choose to deploy. Microsoft is a trusted cloud ecosystem partner for CSPs, and with MATRIXX DCP in the Microsoft Azure Marketplace, telcos can easily procure and deploy monetization capabilities for emerging services.” About MATRIXX Software Matrix Software provides converged charging and commerce solutions. It’s cloud-native Digital Commerce Platform offers mission-critical, network-grade software that opens new prospects for network monetization. MATRIXX gives service providers the agility they need to quickly build, deploy, and monetize new products and services because to its no-code configuration features. Many of the world’s top IoT players, network infrastructure providers, and communications firms run on the MATRIXX platform. Utilizing business innovation and on-demand customer experience through MATRIXX enables businesses to compete better, produce new revenue, and pursue growth possibilities across markets and verticals.

Read More

Wan Technologies,Wireless,5G

AMD and Viettel Collaborate on 5G Mobile Network Expansion

AMD | December 05, 2022

AMD and Viettel High Tech (Member of Viettel Group) today announced the successful completion of a 5G mobile network field trial deployment conducted by Viettel and powered by AMD Xilinx Zynq™ UltraScale+™ MPSoC devices. As the largest telecom operator in Vietnam serving more than 130 million mobile customers, Viettel High Tech has a rich history of using AMD radio technology with prior 4G deployments and is now accelerating new networks via new 5G remote radio heads. Designed to meet the growing capacity and performance requirements of mobile users globally, the Viettel 5G mobile network is expected to be completed by the end of 2022. AMD is the exclusive radio unit silicon supplier for Viettel’s indigenous 5G radio development. After the successful completion of the first field trial, Zynq MPSoCs are now set to be extended to an additional 300 Macro 8T8R base stations and 900 5G 8T8R Macro radios. The Zynq UltraScale+ MPSoC was also chosen by Viettel for its first-generation 64T64R Massive MIMO radio which is currently being optimized for field trials. Viettel is developing the next generation of radios to also include Zynq UltraScale+ RFSoC devices, to provide industry-leading integration and higher performance. “Viettel is committed to advancing mobile technology leadership by working closely with AMD to incorporate its adaptable SoC technology into our new generation of 5G networks. Going from VHT's history of making 4G BTS, this decision to scale for the growing demands of 5G was based on evaluating various factors including flexibility, simplification, design stability and the experience of engineers.” Nguyen Vu Ha, general director of Viettel High Tech “5G provides new opportunities to offer higher levels of performance, power efficiency and new services along with increased reliability required to meet the growing data demands of cellular networks,” said Yousef Khalilollahi, corporate vice president of APAC sales, Adaptive and Embedded Computing Group, AMD. “We are proud of our close collaboration with Viettel and remain focused on enabling its mobile network to deliver the optimal end-user experience as well as the flexibility to evolve and grow as Viettel’s user base and required bandwidth continue to increase globally.” About Viettel High Tech As the R&D arm of Viettel Group, Viettel High Tech develops full 5G network architecture including 5 layers: Service/App layers, Core layers, Transportation layers, Access layers, Devices; makes Vietnam one of the few countries that can produce 5G equipment. Collaboration with the leading partners is VHT’s strategy. With the desire to experiment, exchange knowledge, further develop diverse fields, VHT is moving to accompany the international high-tech community. About AMD For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible.

Read More

Network Infrastructure,Network Management,Wan Technologies

Verizon continues to deploy 5G Ultra Wideband faster than expected

Verizon | December 06, 2022

Verizon now covers more than 175 million people with their ultra fast, ultra reliable 5G Ultra Wideband service, and will offer nationwide 5G Ultra Wideband in Q1 2023. The ongoing C-Band rollout is a full 13 months ahead of the original schedule, and continues to accelerate. Less than 21 months after announcing the results of the FCC’s C-band auction and after securing early access to an additional 30 markets this year, Verizon accelerated its build plan and surpassed its goal of reaching 175 million people covered by the end of 2022, a month ahead of schedule. “Our customers don’t stand still and neither does our network. Today, more than one out of every two Americans now have access to 5G Ultra Wideband. We know our customers rely on our service every day and we work for them – continuously enhancing, expanding and improving our wireless network. And as proud as I am to have crossed this milestone, I am equally proud of the way we are building our network – with the most advanced technologies, industry leading security, a robust fiber underpinning and a robust and varied spectrum portfolio. We are building this right. We are building this as a platform for innovation for years to come.” Hans Vestberg, Chairman and CEO of Verizon. Verizon’s 5G Ultra Wideband brings power and performance comparable to a wired broadband internet connection to customers’ pockets. With download speeds up to one gigabit per second and the capacity to support data-heavy actions, 5G Ultra Wideband frees people up to do things on the go that many could only do before when connected to their home internet service. This includes everything from downloading huge documents and seamlessly streaming movies in HD audio and video, to playing console quality games and conducting video chats, video conferencing and FaceTime calls with clear sound and video. Verizon customers have much more to look forward to Verizon will continue to build out its 5G Ultra Wideband network using C-band spectrum providing service for millions more customers in the coming months, but Verizon’s engineers are not losing sight of the other critical components that will give customers the most reliable, secure, and robust experience possible on the Verizon network. In addition to providing greater coverage, especially in rural and suburban areas, Verizon will also enhance capacity by activating 100 MHz of C-Band spectrum in many markets, a significant step up from the 60 MHz of spectrum available when deployment first began. Once all of its licensed spectrum is made available, Verizon will have up to 200 MHz of C-Band spectrum deployed in many markets, which will provide exceptional speed and capacity. Complementing the wide coverage of Verizon’s premier C-Band spectrum, Verizon will continue deploying 5G on mmWave spectrum which provides for exponential capacity in areas with significantly dense populations such as venues, stadiums, arenas, airports, major metro areas, office complexes and more. mmWave will also continue to be used for private network deployments when enterprise customers need the fastest, most robust 5G service available for their enterprise applications from wireless manufacturing solutions to connected vehicles to remote healthcare and more. In addition to making 5G more accessible to more people, Verizon will continue focusing on building out the advanced technologies that provide increased security, reliability and customized experiences for customers. Those advancements include fully deploying the 5G core with Verizon’s proprietary cloud platform built specifically for telco workloads, advancing the fiber network to handle exponential increases in data traffic, continuing massive virtualization of the network to add programmability and flexibility into the network, using artificial intelligence to drive reliability and performance, continuing to develop edge computing capabilities to drive down latency, and continuing to advance antenna configurations to drive speed and efficiency.

Read More

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