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5G NG-RAN Signaling
The course offers a complete understanding of all signalling protocols implemented in the NG-RAN. It focuses on the details of the NR interface signalling exchanged between the UE and the network, other NG-RAN interfaces are also covered. Most important network procedures, such as signalling connection establishment, registration, service request and handover are discussed and presented on signalling diagrams. The price below is for individuals. If you are interested in buying the course for your company, please contact us.
What's included?
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14 Chapters
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1 Certification
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1 complete course book (PDF)
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40 Videos
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Over 16 hours of training
For who?
The course is addressed to network engineers involved in the network design and optimisation, managerial staff responsible for network operation and anybody who requires detailed knowledge on 5G NG-RAN signalling and function.
Prerequisites
Participation in the LTE Signalling training is beneficial.
Meet the instructor
Adam Girycki
Adam Girycki holds the position of R&D Expert within the
IS-Wireless and particularly expertise in the 3GPP standard, O-RAN alliance, 2G/3G/4G/5G Radio Network Design, Signalling and Radio Network Optimisation. Responsible for the development of the Near-Real Time RAN Intelligent Controller (Near-RT RIC) platform based on O-RAN standard, research and development of the radio resource management algorithms for xApps and MAC layer.
Currently, he has also enrolled in a joint PhD degree programme in Engineering Science with Katholieke Universiteit Leuven (KUL), Belgium and developing machine learning-based radio resource allocation algorithm for 6G cell-free mMIMO networks.
He graduated in Technical Physics (1994), completed PhD studies in Electronic and Telecommunications (1998). An author of the training documentation. Have conducted telecommunications training in 34 countries on 4 continents.
Currently, he has also enrolled in a joint PhD degree programme in Engineering Science with Katholieke Universiteit Leuven (KUL), Belgium and developing machine learning-based radio resource allocation algorithm for 6G cell-free mMIMO networks.
He graduated in Technical Physics (1994), completed PhD studies in Electronic and Telecommunications (1998). An author of the training documentation. Have conducted telecommunications training in 34 countries on 4 continents.