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Aramco and GCT Semiconductor partner to enhance 4G/5G ecosystem in Saudi Arabia, boosting mission-critical networks.<br/><br/>Earlier on March 27, 2024, the company commenced trading after completion of its business combination with Concord Acquisition Corp III.
⏲ 0:40 👁 2.2M
Vania Mania Kids
⏲ 40 minutes 38 seconds 👁 1.9M
Max's Tech
⏲ 3 minutes 45 seconds 👁 52.6K
A quick review of the Oppo Reno 11 5G phone<br/>Processor: Octa-core Dimensity 7050 6nm technology<br/>Storage/RAM: 128/256 GB with 8/12 GB RAM<br/>Camera: Triple rear 50+8+32 MP. / Front 32 MP.<br/>Screen: 6.7 inches, FHD+ resolution, with a small hole<br/>
⏲ 0:33 👁 105K
Sun Wukong
⏲ 8 minutes 2 seconds 👁 26.2M
Gotcha! Yes Arabic
⏲ 44 minutes 58 seconds 👁 14.8K
Welcome to Session 13 of our Open RAN series! In this session, we'll explore the integration of Artificial Intelligence (AI) and Machine Learning (ML) in Open RAN. These technologies play a crucial role in designing intelligent systems that enhance the overall ecosystem of Open RAN.<br/><br/>Artificial Intelligence and Machine Learning<br/>Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that allows machines to learn from data without being explicitly programmed. These technologies can revolutionize Open RAN by enabling intelligent decision-making, predictive maintenance, and network optimization.<br/><br/><br/>Application of Machine Learning in Open RAN<br/>Machine Learning algorithms use mathematical functions to analyze data and make predictions or decisions based on that analysis. In Open RAN, ML can be applied to various areas such as network optimization, predictive maintenance, and intelligent resource allocation. ML algorithms can analyze network traffic patterns, predict equipment failures, and optimize network performance, leading to improved efficiency and reliability.<br/><br/><br/>Join us as we explore the potential of AI and Machine Learning in Open RAN. Don't forget to subscribe to the \
⏲ 4:15 👁 25K
Arayik Sargsyan
⏲ 1 hour 5 minutes 46 seconds 👁 14.5K
Vania Mania Kids
⏲ 39 minutes 28 seconds 👁 1.4M
Welcome to Session 11 of our Open RAN series! In this session, we'll dive into Layer 2 functionalities, focusing on key protocols and their roles in Open RAN networks.<br/><br/>PDCP Protocol Layer: The PDCP layer, or Packet Data Convergence Protocol layer, plays a crucial role in Open RAN environments by ensuring reliable data transmission. It is responsible for various functions such as header compression, ciphering, and integrity protection. PDCP sits above the RLC (Radio Link Control) layer and below the RRC (Radio Resource Control) layer in the protocol stack. Its primary role is to provide an error-free and secure transmission path for user data.<br/><br/>PDCP Functionalities in Dual Connectivity Mode: Dual connectivity mode in wireless networks allows a device to connect to multiple cells simultaneously, enhancing data rates and reliability. In this mode, the PDCP layer manages the data streams from both connected cells, ensuring seamless transmission and reception of data. This involves coordination between the PDCP entities in the device and the network to optimize data delivery. PDCP ensures that data from different cells is properly aggregated and delivered to the higher layers of the protocol stack.<br/><br/>SDAP Protocol: The Service Data Adaptation Protocol (SDAP) is a protocol used in Open RAN to adapt user-plane data for transmission over the network. SDAP is responsible for mapping different types of user-plane data flows to specific QoS (Quality of Service) requirements and network resources. It ensures that user data is transmitted efficiently and in accordance with the network's capabilities and policies. SDAP also provides mechanisms for congestion control and flow management, ensuring smooth operation of the network under varying traffic conditions.<br/><br/><br/>Join us as we unravel the complexities of Layer 2 functionalities in Open RAN, providing valuable insights into the network's operation. Don't forget to subscribe to the \
⏲ 5:18 👁 10K
Vlad and Niki
⏲ 10 minutes 43 seconds 👁 286.2M
Vania Mania Kids
⏲ 35 minutes 44 seconds 👁 75M
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