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TEOCO’s Helix Service Assurance Suite delivers CSPs an automated, analytical, proactive and unified approach to service quality assurance, network performance and fault management.Through simplifying CSP’s operations, supporting the digital transformation it enables quick adoption of new-generation telecommunications services driven by technology advancements such as virtualization, NFV/SDN, 5G and IoT.nnHelix Service Assurance monitors, measures, models and analyzes network and non-networ
⏲ 98 sec ✓ 23-Mar-2017
Cloudification in Open RAN refers to the transformation of traditional, hardware-centric radio access networks (RANs) into more flexible, software-driven architectures based on open standards. This session will explore the concept of cloudification in Open RAN and the benefits it offers over traditional RAN deployments.<br/><br/>Key Concepts:<br/><br/>Traditional RAN vs. ORAN:<br/>Traditional RANs are characterized by proprietary hardware and tightly integrated components, limiting flexibility and innovation.<br/>ORAN, on the other hand, emphasizes open interfaces, disaggregation of hardware and software, and virtualization, enabling a more flexible and scalable RAN architecture.<br/><br/>Benefits of Cloudification:<br/>Cloudification enables the virtualization of network functions, allowing operators to deploy and manage RAN functions as software instances on standard IT hardware.<br/>It enhances network flexibility, scalability, and resource utilization, leading to lower operational costs and faster deployment of new services.<br/><br/>Components of Cloudified Open RAN:<br/>Centralized Unit (CU) and Distributed Unit (DU) are virtualized and run on cloud infrastructure, providing centralized and distributed processing capabilities, respectively.<br/>Multi-access Edge Computing (MEC) enables the deployment of applications and services at the edge of the network, closer to end-users, improving latency and user experience.<br/><br/>Use Cases of Cloudification:<br/>Network Slicing: Cloudification enables the creation of network slices tailored to specific use cases, such as ultra-reliable low-latency communications (URLLC) for industrial IoT applications.<br/>Massive MIMO: Cloud-based processing can enhance Massive MIMO performance by enabling efficient coordination between antennas and reducing signal processing complexity.<br/><br/>Conclusion:<br/>Cloudification is a fundamental shift in the architecture of RANs, enabling operators to leverage cloud technologies to build more flexible, efficient, and innovative networks. By adopting cloudification, operators can meet the evolving demands of 5G and future wireless networks.<br/><br/><br/>Subscribe to \
⏲ 4:41 ✓ 03-Jun-2024
Hello and welcome to Session 15 of our Open RAN series! In this session, we'll delve into the exciting realms of unsupervised and reinforcement learning, exploring their roles in Open RAN and the challenges associated with supervised learning and labelled data.<br/><br/>Overview:<br/>Challenges with Supervised Learning and Labelled Data<br/>Understanding Unsupervised Learning<br/>Reinforcement Learning: A Deep Dive<br/><br/><br/>Challenges with Supervised Learning and Labelled Data:<br/>While supervised learning is powerful, it comes with its challenges. One major hurdle is the need for large amounts of labelled data, which may not always be available or practical to obtain in Open RAN environments. Additionally, supervised learning may struggle with highly variable or noisy data, making it less effective in certain scenarios.<br/><br/>Understanding Unsupervised Learning:<br/>Unsupervised learning is a type of machine learning where the model learns patterns from unlabelled data. This approach is invaluable in Open RAN, where data may be vast and complex. Unsupervised learning techniques, such as clustering, enable Open RAN systems to group similar data points together, providing insights into network behaviour without the need for predefined labels. Clustering, for example, can help identify patterns in network traffic, which can be used to optimize resource allocation and improve overall network performance.<br/><br/>Reinforcement Learning:<br/>Reinforcement learning is a dynamic approach where an agent learns to make decisions by interacting with an environment. In the context of Open RAN, reinforcement learning can be used to optimize network parameters and resource allocation. For example, an agent could learn to adjust transmission power or scheduling algorithms based on real-time network conditions, leading to improved efficiency and performance.<br/><br/><br/>Join us as we explore the world of unsupervised and reinforcement learning and their potential to transform Open RAN. Don't forget to subscribe to our channel for more insightful content, and share your thoughts in the comments below!<br/><br/>Subscribe to \
⏲ 3:54 ✓ 03-Jun-2024
Network Exposure Function (NEF), is a function which securely exposes 5G SA capabilities to external 3rd party applications to increased predictability and control of devices to serve a variety of applications and use cases. It provides new ways for CSPs to monetize their 5G SA networks. NEF enables CSP’s charging based on API usage and implementing tiered pricing plans based on differentiated QoS. Now even entering revenue-sharing agreements with new enterprise partners across different busin
⏲ 1 min 84 sec ✓ 18-Oct-2023
The Xiaomi Redmi Note 13 Pro+ and OnePlus Nord 3 are two competitive smartphones with distinct features. The Redmi Note 13 Pro+ boasts a curved AMOLED display with a 144Hz refresh rate, superior MediaTek Dimensity 9200 processor, and 120W fast charging. It also features a 200MP main camera, offering excellent photo quality and advanced imaging capabilities.<br/><br/>On the other hand, the OnePlus Nord 3 features a flat AMOLED display with a 120Hz refresh rate, powered by the MediaTek Dimensity 9000 processor. It supports 80W fast charging and offers a versatile camera setup, including a 50MP main sensor. Both devices excel in performance and display quality, catering to different user preferences.
⏲ 3:42 ✓ 03-Jun-2024
As data growth is making it critical for CSPs to focus on improving both the scale and performance on their networks, this cannot be achieved through traditional approaches. Mobile service providers need a different model for scaling their networks. One that relies on software rather than hardware to cost-effectively grow the network. Here to talk about improving the speed and performance of VNFs in the mobile core to deliver the highest levels of performance are Caroline Chan, GM of 5G for the
⏲ 12 min 29 sec ✓ 02-Mar-2019
Despite investing heavily in both standalone and non-standalone 5G deployments, few Communication Service Providers (CSPs) are thinking beyond the simple delivery of faster mobile broadband services for consumers.nnThis webinar will explore:nnunlocking new revenue streams to monetize 5G network investmentsnhow CSPs cannleverage 5G as a primary link and meet the evolving connectivity needs of their business customersnharness the power of 5G to futureproof their networks with slicing and Edge comp
⏲ 25 min 53 sec ✓ 29-Nov-2022
Together with Amazon Web Services (AWS), we are joining forces to transform the telcos landscape globally.nnLearn from Hitesh Agrawal, Partnerships Manager at AWS, how Infovista’s Ativa™ Suite Assurance Solutions is enabling telecom operators deliver 5G rapid deployments, cost savings, and limitless scalability.nn00:00 Introduction n00:11 Ativa and AWS overview n00:46 Ativa on AWS Marketplace
⏲ 84 sec ✓ 17-Oct-2023
Mavenir empowers CSPs to seize the vast opportunities presented by 5G. With network slicing and its exceptional attributes including low latency, high bandwidth, and guaranteed Quality of Service, CSPs can enhance customer value, introduce innovative business models, and foster valuable partnerships. nnLeveraging Mavenir's expertise, CSPs can deploy any-generation use case on a cost-effective 5G SA architecture, innovate on agile and scalable networks with minimal risks, swiftly test and monetiz
⏲ 1 min 86 sec ✓ 25-Mar-2024
CSPs are in a difficult position. They are faced with sustained competitive pressure from OTT players, while continuing to invest in network capacity in an environment of slow revenue growth. The transition to 5G, which has technology and business implications, offers the promise of some relief. nnNetwork slicing provides CSPs an opportunity to interact differently with their customers and the OTT players, potentially allowing them to garner a larger share of the value. IoT, too, is poised to de
⏲ 33 min 86 sec ✓ 07-Apr-2017
Mavenir's Converged Charging Solutions from csps 5g
⏲ 1 min 86 sec ✓ 22-Oct-2022
AUTOMATE FULFILMENT END-TO-ENDnFailure to deliver products customers have purchased hurts CSPs. For business and consumer buyers alike, product delivery delays and failures lead to unfulfilled customer expectations, high-cost manual intervention to fix errors and slower time-to-revenue for new products and services. And the complexity of new services enabled by 5G and virtualised networks pose a new challenge for fulfilment systems, making the ability to automate processes critical for success.
⏲ 94 sec ✓ 26-Jan-2021
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