NB-IoT RAN Network Optimization covers the optimization expertise topic being intended mainly for Radio Network Planners and Radio Network Optimizers whose daily job is to plan and optimize the NB-IoT RAN network performance. It is also considered to be a valuable companion for technical professionals, RAN engineers and RF engineers as an on top technical expertise to their NB-IoT background. Finally it is might be a useful topic for 5G System Architects, 3GPP consultants, 5G R&D Researchers, 5G System Analysts and 5G network consultants, contributing further into background insight to the NB-IoT and massive IoT RAN technology’s potentials and performance.
Prerequisites: Those wishing to take this course should have a very good and solid understanding of NB-IoT air interface and NB-IoT RAN signaling with good background on functional procedures and their subsequent protocols.
This NB-IoT training course leads the audience into a deep dive towards NB-IoT RAN network optimization procedures. Course content is split into several sectors including NB-IoT accessibility/connection optimization, NB-IoT RAN capacity (number of IoT devices), NB-IoT throughput optimization and NB-IoT coverage extension analysis and optimization.
Participants will be able to study or review the NB-IoT signaling flows with extensive trace log analysis. This course will also discuss in details the related protocol layer configuration parameters as well as the corresponding proposed KPIs either from network perspective or from drive test analysis perspective. Finally it is worth mentioning that this course will be also supported with trace log file analysis and exercises.
Instructor-Led Training
On-Site Classroom: 3 days
Web delivered (Virtual): 3 days
Excellent and descriptive course material (pdf file) will be provided