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_session-21-nfv-network-function-virtualization-concept-in-open-ran.webp "In this session, we'll explore the fundamental concepts of NFV (Network Function Virtualization) in the context of Open RAN. We'll delve into the orchestration of virtualized network functions, the role of NFV Management and Virtualization, and how these elements work together to transform traditional network architectures.<br/><br/>Understanding NFV in Open RAN:<br/><br/>NFV Fundamentals: Delve into the core principles of NFV, where traditional hardware-based network functions are replaced with software-based virtual instances, driving agility and scalability.<br/>Essential Components: Learn about the critical components of NFV architecture, including Virtual Network Functions (VNFs), NFV Infrastructure (NFVI), and the NFV Management and Orchestration (MANO) layer.<br/>Benefits of NFV: Explore how NFV optimizes resource utilization, accelerates service deployment, and reduces operational costs, fostering a more adaptable and responsive network ecosystem.<br/>NFV Applications in Open RAN: Understand the pivotal role of NFV in Open RAN, enabling the virtualization of RAN functions and facilitating the seamless deployment of new services.<br/><br/>Understanding NFV and Orchestration:<br/>NFV is a technology that virtualizes network functions traditionally performed by dedicated hardware. Orchestration is the automated arrangement, coordination, and management of these virtualized network functions to enable efficient network operation.<br/><br/>NFV Management and Virtualization (NFVM):<br/>NFVM is a key component of NFV architecture that manages the lifecycle of virtualized network functions. It handles tasks such as instantiation, monitoring, scaling, and termination of virtualized functions.<br/><br/>Orchestration Function:<br/>Orchestration in NFV involves coordinating the deployment and interconnection of virtualized network functions according to service requirements. It ensures that network resources are allocated efficiently and dynamically based on demand.<br/><br/>Conclusion:<br/>NFV and orchestration play a crucial role in the evolution of Open RAN, enabling operators to build agile, scalable, and cost-effective networks. Understanding these concepts is essential for anyone involved in the design, deployment, or management of modern telecom networks.<br/><br/><br/>Subscribe to \")
_how-to-use-free-internet-2g-3g-4g-life-time.webp "YouTube Review")
_free-internet-2g-3g-4g-on-any-android-phones-2016-still-working-in-2020-100-working-2.webp "ex-Rai")
⏲ 3 minutes 36 seconds 👁 96.4K
_session-25-open-ran-124-new-front-haul-ecpri-mid-haul-and-back-haul-connectivity-and-new-requirement.webp "In this session, we delve into the crucial components of Open RAN: new front haul eCPRI, mid haul, and back haul connectivity. Understanding these elements is essential for optimizing network performance. We'll cover why new front haul eCPRI is needed, explain the roles of mid haul and back haul, and discuss the advancements required in Open RAN to meet the super-fast latency and throughput demands of modern networks. Join us to learn how these connectivity solutions enhance Open RAN deployments.<br/><br/>Welcome to Session 25! Today, we explore the essential parts of Open RAN connectivity: new front haul eCPRI, mid haul, and back haul. Understanding these components is key to enhancing network performance. We’ll discuss:<br/><br/>Why new front haul eCPRI is needed:<br/>* Enhanced Common Public Radio Interface (eCPRI) is an updated version of CPRI, essential for modern high-speed networks.<br/>* Benefits: Offers better bandwidth, reduced latency, and improved scalability compared to traditional CPRI.<br/><br/>What is mid haul:<br/>* Mid haul connects the centralized unit (CU) and distributed unit (DU) within the network.<br/>* Importance: Essential for efficient data transmission between the central and edge components, enabling flexibility in network deployment.<br/><br/>What is back haul:<br/>* Back haul refers to the connections between the distributed unit (DU) and the core network.<br/>* Role: Critical for carrying data from the edge of the network to the core, ensuring seamless communication and data flow.<br/><br/>Why these are needed in Open RAN:<br/>* These connectivity solutions enable the modular and scalable architecture of Open RAN.<br/>* Performance: They are crucial for achieving the desired network performance, including low latency and high throughput.<br/><br/>Advancements required in Open RAN:<br/>* Super-fast latency: To meet the demands of modern applications, Open RAN must continuously evolve to provide ultra-low latency.<br/>* High throughput: Ensuring high data transfer rates is necessary to support the growing data demands of users and applications.<br/><br/>By the end of this session, you'll have a clear understanding of how new front haul eCPRI, mid haul, and back haul connectivity work together to optimize Open RAN deployments, making them ready for the future of telecom networks.<br/><br/><br/>Subscribe to \")
Session 25: Open RAN | New Front Haul eCPRI, Mid Haul and Back Haul Connectivity and new requirement
⏲ 5:5 👁 10K
_how-to-use-free-internet-2g-3g-4g.webp "recharge karo")
_free-internet-for-2g-3g-4g-phones-only-in-india-internet-2g-3g-4g-124.webp "Madhur Vashishtha")
⏲ 3 minutes 19 seconds 👁 1.1K
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.webp "Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \")
_free-internet-2g-3g-4g-through-vpn-on-any-android-phones-100-working.webp "Raj Gazi")
_free-unlimited-internet-2g3g4g-any-sim.webp "LIVE CINEMA")
_safary-all-mobile-networks.webp "Safary is a groundbreaking mobile network operator that emerged as a leader in the telecommunications industry, renowned for its innovative approach and customer-centric services. Established with a mission to revolutionize mobile connectivity, Safary combines cutting-edge technology with a robust infrastructure to provide unparalleled service quality across diverse regions.<br/><br/>### Network Coverage and Reliability<br/>Safary's network coverage is extensive, spanning urban, suburban, and rural areas to ensure that customers remain connected no matter where they are. The company has invested heavily in advanced network infrastructure, including the deployment of 4G LTE and the ongoing rollout of 5G technology. This commitment to infrastructure guarantees high-speed internet, clear voice calls, and minimal service disruptions, making it a reliable choice for both personal and business use.<br/><br/>### Innovative Services and Plans<br/>Safary offers a wide range of flexible plans tailored to meet the diverse needs of its customers. Whether it's affordable prepaid plans, value-packed postpaid contracts, or specialized data bundles, Safary has something for everyone. The company's plans often include generous data allowances, unlimited calling options, and access to premium content, catering to the increasing demand for digital services.<br/><br/>### Customer Experience and Support<br/>Safary places a strong emphasis on customer satisfaction. The company has established a comprehensive customer service framework that includes 24/7 support through various channels such as phone, email, live chat, and social media. Additionally, Safary's user-friendly mobile app allows customers to manage their accounts, pay bills, monitor usage, and access support seamlessly. The app's intuitive design and functionality enhance the overall customer experience, making it easier for users to stay connected and in control.<br/><br/>### Technological Advancements<br/>Safary is at the forefront of technological innovation in the telecom sector. The company's adoption of next-generation technologies like 5G, IoT (Internet of Things), and AI-driven network management ensures that it stays ahead of the curve. These advancements not only improve network performance but also enable new services such as smart home solutions, connected devices, and enhanced mobile security features.<br/><br/>### Corporate Social Responsibility<br/>Beyond business, Safary is deeply committed to corporate social responsibility (CSR). The company actively engages in various initiatives aimed at bridging the digital divide, promoting digital literacy, and supporting sustainable practices. Through partnerships with local communities and non-profit organizations, Safary works to ensure that the benefits of modern connectivity reach everyone.<br/><br/>### Future Vision<br/>Looking ahead, Safary aims to continue its trajectory of growth and innovation. The company plans to expand its 5G network coverage, introduce more value-added services, and enhance its customer supp")
_how-to-get-idea-free-internet-2g-3g-4g.webp "Tech max")
_free-internet-2g-3g-4g-through-vpn-on-any-android-phones-100-working-1.webp "NAGARETHINAM CHANNEL")
⏲ 2 minutes 55 seconds 👁 187
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