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_session-23-multi-access-edge-computing-mec-in-open-ran-oran-explained-for-beginners.jpg "Welcome to Session 23! In this video, we'll dive into the world of Multi-Access Edge Computing (MEC) within the framework of Open RAN (ORAN). This beginner-friendly session breaks down the concepts, providing an easy-to-understand overview with real-world examples. We discuss the key benefits, potential challenges, and various use cases of MEC in ORAN. Learn why MEC is crucial for the future of mobile networks and how it can revolutionize connectivity and performance.<br/><br/>Key Concepts :<br/>* Introduction to MEC and ORAN<br/>* Key advantages of MEC in ORAN<br/>* Common challenges and disadvantages<br/>* Practical use cases of MEC in ORAN<br/>* The importance of MEC in modern network architecture<br/><br/><br/>Welcome to Session 23!<br/>Hello everyone, and welcome to Session 23 of our series. Today, we will explore the fascinating topic of Multi-Access Edge Computing (MEC) in the context of Open RAN (ORAN). This session is designed for beginners, so we'll start with the basics and build up to more detailed insights.<br/><br/>Introduction to MEC and ORAN<br/>Multi-Access Edge Computing (MEC) is an innovative technology that brings computation and data storage closer to the end user, significantly enhancing the performance and efficiency of applications and services. Open RAN (ORAN) is a new approach to building mobile networks using open and interoperable interfaces. By combining MEC with ORAN, we create a powerful synergy that transforms how data is processed and transmitted across networks.<br/><br/>Key Advantages of MEC in ORAN<br/>* Reduced Latency: Processing data closer to the source drastically reduces latency, which is critical for applications such as online gaming, video streaming, and virtual reality.<br/>* Improved Network Efficiency: MEC offloads traffic from the core network, resulting in more efficient use of network resources and better overall performance.<br/>* Enhanced Security: Local data processing offers improved security and privacy controls, reducing the risk of data breaches.<br/><br/>Common Challenges and Disadvantages<br/>* Complexity: Implementing MEC in an ORAN environment can be complex, requiring careful planning and integration.<br/>* Cost: Initial deployment costs can be high, but the long-term benefits often justify the investment.<br/><br/>Practical Use Cases of MEC in ORAN<br/>* Smart Cities: MEC enables real-time data processing for traffic management, public safety, and environmental monitoring.<br/>* Healthcare: Supports advanced telemedicine applications by providing low-latency, high-reliability connections for remote surgeries and patient monitoring.<br/>* Industrial IoT: Facilitates real-time analytics and automation in manufacturing, improving efficiency and reducing downtime.<br/><br/>Subscribe to \")
⏲ 4:48 👁 15K
_session-21-nfv-network-function-virtualization-concept-in-open-ran.jpg "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 \")
⏲ 6:31 👁 15K
_sixteen-month-old-girl-has-heartwarming-interaction-with-horses.jpg "A sixteen-month-old girl had the sweetest interaction with these three horses. She excitedly ran up to the animals upon seeing them, and one by one the horses gathered around her. She lovingly petted and rubbed her head against them, and in turn they gently reciprocated her affection.")
⏲ 1:2 👁 30K
_mckenzie-long-runs-10-92-in-100m-at-2024-ncaa-east-first-round.jpg "Ole Miss All-American McKenzie Long ran a career best time of 10.92 seconds in the 100 meters on May 25, 2024 in Lexington, Kentucky, USA.")
⏲ 0:23 👁 25K
_she-was-drugged-but-ran-away-and-kissed-a-random-man-and-this-man-changed-her-destiny.jpg "She was drugged but ran away and kissed a random man and this man changed her destiny")
⏲ 10:14 👁 100K
_rivalry-turns-into-joy-playful-teasing-turns-into-laughter-and-fun-for-siblings.jpg "This elder brother, Rory, was playfully annoying his younger sister, Ada, until she couldn't take it anymore.<br/><br/>With a playful grin, Ada turned and gently slapped him.<br/><br/>Suddenly, both of them burst into laughter, their giggles filling the room like a burst of sunshine.<br/><br/>In no time, Ada began chasing Rory, their footsteps echoing as they ran around in circles. Their laughter continued, making the house feel alive with joy.<br/><br/>It was a moment of pure, innocent fun, showcasing the special bond they shared as siblings.<br/>Location: Preston, England<br/>WooGlobe Ref : WGA190875<br/>For licensing and to use this video, please email licensing@wooglobe.com")
⏲ 0:21 👁 65K
_man-diagnosed-with-stage-four-testicular-cancer-completes-half-marathon.jpg "A man who was diagnosed with stage four testicular cancer completed a half-marathon.<br/><br/>Callan Rogers, 28, ran a half-marathon in March despite being about to enter his sixth round of chemotherapy treatment.<br/><br/>Callan, from Stratford in London, was diagnosed at the age of 26.<br/><br/>When his latest round of treatment stopped working, he decided to run a half-marathon and completed it in two hours and 29 minutes.<br/><br/>Callan, a fire safety officer, said: \")
⏲ 2:31 👁 30K
_the-bad-sickness-that-happened-to-eylul-heartbeat.jpg "No matter how a terrible place the world is, there is always someone who proves that the good always wins. Maybe that’s the first and only chance given by a fate that has never been fair to you. The name of that chance that will change the fate of eighteen-year-old high school student Eylul (Oyku Karayel) is Ali Asaf Denizoglu (Gokhan Alkan). The story begins in a high school of a town in the Aegean region. After the two part ways, they cross paths again on the roof of Istanbul’s best hospital! The young brain surgeon Eylul tells her story while she gives a good beating to a group of bullies who raids the hospital’s emergency room. She was a rebellious girl who had changed schools many times and whom teachers didn’t want to deal with. Even when her father picked her up from the last school she got expelled from and beat her very bad, she did not shed a single teardrop. However, that day her whole life changes; the prayer of her grandmother, who ran a small hostel in Marmaris and opened her house to Eylul brings a miracle. \")
⏲ 21:31 👁 15K
_the-story-behind-39bewitched39s39-two-darrins-why-the-series-recast-the-co-lead-in-season-6.jpg "One of the most iconic sitcoms of all time, ABC’s \")
⏲ 1:24 👁 15K
_mr-ye-your-wife-ran-away-again-full.jpg "Mr. Ye, Your Wife Ran Away Again Full")
⏲ 1:56:12 👁 10K
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.jpg "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 \")
⏲ 5:55 👁 10K
_mr-ye-your-wife-ran-away-again-full.jpg "Mr. Ye, Your Wife Ran Away Again<br/>#film#filmengsub #movieengsub #reedshort #haibarashow #3tchannel#chinesedrama #drama #cdrama #dramaengsub #englishsubstitle #chinesedramaengsub #moviehot#romance #movieengsub #reedshortfulleps<br/>TAG :haibara show,haibara show dailymontion,drama,chinese drama,cdrama,drama china,drama short film,short film,mym short films,short films,uk short films,crime drama short film,short film drama,gang short film uk,short of the week,uk short film,london short film,gang short film,amani short film,shorts,drama short film gang,short movie,chinese drama,cdrama,chinese drama engsub")
⏲ 1:56:12 👁 80K
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_session-23-multi-access-edge-computing-mec-in-open-ran-oran-explained-for-beginners.webp "Welcome to Session 23! In this video, we'll dive into the world of Multi-Access Edge Computing (MEC) within the framework of Open RAN (ORAN). This beginner-friendly session breaks down the concepts, providing an easy-to-understand overview with real-world examples. We discuss the key benefits, potential challenges, and various use cases of MEC in ORAN. Learn why MEC is crucial for the future of mobile networks and how it can revolutionize connectivity and performance.<br/><br/>Key Concepts :<br/>* Introduction to MEC and ORAN<br/>* Key advantages of MEC in ORAN<br/>* Common challenges and disadvantages<br/>* Practical use cases of MEC in ORAN<br/>* The importance of MEC in modern network architecture<br/><br/><br/>Welcome to Session 23!<br/>Hello everyone, and welcome to Session 23 of our series. Today, we will explore the fascinating topic of Multi-Access Edge Computing (MEC) in the context of Open RAN (ORAN). This session is designed for beginners, so we'll start with the basics and build up to more detailed insights.<br/><br/>Introduction to MEC and ORAN<br/>Multi-Access Edge Computing (MEC) is an innovative technology that brings computation and data storage closer to the end user, significantly enhancing the performance and efficiency of applications and services. Open RAN (ORAN) is a new approach to building mobile networks using open and interoperable interfaces. By combining MEC with ORAN, we create a powerful synergy that transforms how data is processed and transmitted across networks.<br/><br/>Key Advantages of MEC in ORAN<br/>* Reduced Latency: Processing data closer to the source drastically reduces latency, which is critical for applications such as online gaming, video streaming, and virtual reality.<br/>* Improved Network Efficiency: MEC offloads traffic from the core network, resulting in more efficient use of network resources and better overall performance.<br/>* Enhanced Security: Local data processing offers improved security and privacy controls, reducing the risk of data breaches.<br/><br/>Common Challenges and Disadvantages<br/>* Complexity: Implementing MEC in an ORAN environment can be complex, requiring careful planning and integration.<br/>* Cost: Initial deployment costs can be high, but the long-term benefits often justify the investment.<br/><br/>Practical Use Cases of MEC in ORAN<br/>* Smart Cities: MEC enables real-time data processing for traffic management, public safety, and environmental monitoring.<br/>* Healthcare: Supports advanced telemedicine applications by providing low-latency, high-reliability connections for remote surgeries and patient monitoring.<br/>* Industrial IoT: Facilitates real-time analytics and automation in manufacturing, improving efficiency and reducing downtime.<br/><br/>Subscribe to \")
_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 \")
_sixteen-month-old-girl-has-heartwarming-interaction-with-horses.webp "A sixteen-month-old girl had the sweetest interaction with these three horses. She excitedly ran up to the animals upon seeing them, and one by one the horses gathered around her. She lovingly petted and rubbed her head against them, and in turn they gently reciprocated her affection.")
_mckenzie-long-runs-10-92-in-100m-at-2024-ncaa-east-first-round.webp "Ole Miss All-American McKenzie Long ran a career best time of 10.92 seconds in the 100 meters on May 25, 2024 in Lexington, Kentucky, USA.")
_she-was-drugged-but-ran-away-and-kissed-a-random-man-and-this-man-changed-her-destiny.webp "She was drugged but ran away and kissed a random man and this man changed her destiny")
_rivalry-turns-into-joy-playful-teasing-turns-into-laughter-and-fun-for-siblings.webp "This elder brother, Rory, was playfully annoying his younger sister, Ada, until she couldn't take it anymore.<br/><br/>With a playful grin, Ada turned and gently slapped him.<br/><br/>Suddenly, both of them burst into laughter, their giggles filling the room like a burst of sunshine.<br/><br/>In no time, Ada began chasing Rory, their footsteps echoing as they ran around in circles. Their laughter continued, making the house feel alive with joy.<br/><br/>It was a moment of pure, innocent fun, showcasing the special bond they shared as siblings.<br/>Location: Preston, England<br/>WooGlobe Ref : WGA190875<br/>For licensing and to use this video, please email licensing@wooglobe.com")
_man-diagnosed-with-stage-four-testicular-cancer-completes-half-marathon.webp "A man who was diagnosed with stage four testicular cancer completed a half-marathon.<br/><br/>Callan Rogers, 28, ran a half-marathon in March despite being about to enter his sixth round of chemotherapy treatment.<br/><br/>Callan, from Stratford in London, was diagnosed at the age of 26.<br/><br/>When his latest round of treatment stopped working, he decided to run a half-marathon and completed it in two hours and 29 minutes.<br/><br/>Callan, a fire safety officer, said: \")
_the-bad-sickness-that-happened-to-eylul-heartbeat.webp "No matter how a terrible place the world is, there is always someone who proves that the good always wins. Maybe that’s the first and only chance given by a fate that has never been fair to you. The name of that chance that will change the fate of eighteen-year-old high school student Eylul (Oyku Karayel) is Ali Asaf Denizoglu (Gokhan Alkan). The story begins in a high school of a town in the Aegean region. After the two part ways, they cross paths again on the roof of Istanbul’s best hospital! The young brain surgeon Eylul tells her story while she gives a good beating to a group of bullies who raids the hospital’s emergency room. She was a rebellious girl who had changed schools many times and whom teachers didn’t want to deal with. Even when her father picked her up from the last school she got expelled from and beat her very bad, she did not shed a single teardrop. However, that day her whole life changes; the prayer of her grandmother, who ran a small hostel in Marmaris and opened her house to Eylul brings a miracle. \")
_the-story-behind-39bewitched39s39-two-darrins-why-the-series-recast-the-co-lead-in-season-6.webp "One of the most iconic sitcoms of all time, ABC’s \")
_mr-ye-your-wife-ran-away-again-full.webp "Mr. Ye, Your Wife Ran Away Again Full")
_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 \")
_mr-ye-your-wife-ran-away-again-full.webp "Mr. Ye, Your Wife Ran Away Again<br/>#film#filmengsub #movieengsub #reedshort #haibarashow #3tchannel#chinesedrama #drama #cdrama #dramaengsub #englishsubstitle #chinesedramaengsub #moviehot#romance #movieengsub #reedshortfulleps<br/>TAG :haibara show,haibara show dailymontion,drama,chinese drama,cdrama,drama china,drama short film,short film,mym short films,short films,uk short films,crime drama short film,short film drama,gang short film uk,short of the week,uk short film,london short film,gang short film,amani short film,shorts,drama short film gang,short movie,chinese drama,cdrama,chinese drama engsub")
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