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5G NR Air Interface
The course offers a complete understanding of the radio interface in 5G NR technology. A general characteristic of 5G is presented with its architecture, interfaces and protocols. It's based on the 3GPP Release 15 and it is equipment vendor independent.
The price below is for individuals. If you are interested in buying the course for your company, please contact us.
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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7 Chapters
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1 Certification
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1 complete course book (PDF)
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35 Videos
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Over 16 hours of training
Deep dive into tech
The course focuses on the physical channels structure and their processing. It also presents physical layer procedures including random access, power control, HARQ related to downlink and uplink transmission, massive MIMO and beamforming.
Practical knowledge
The course is delivered by a professional instructor who has also experience in actual telecommunications products building which guarantees practical and up-to-date knowledge.
Meet the instructor
Adam Girycki
Adam Girycki holds the position of R&D Expert within the
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.
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.