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Take LTE-M and NB IoT Crash Course From Tonex Training


Price: $2,999.00
Length: 2 Days
Continuing Education Credits: 13 PHD

The NB-IoT and LTE-M course gives a top to bottom outline of the different parts of the new LTE-based radio advances determined for Machine-to-Machine communication (M2M) for the Internet of Things (IoT) over the cell 3GPP systems.

LTE-M and NB-IoT Crash Course is a 2-day customized LTE preparing centers around fundamentals of LTE get to innovation concentrating on LTE-M and NB-IoT.

Prerequisites:
General technical knowledge of the 3GPP-standardised mobile networks (and LTE in particular) is highly recommended. For required background knowledge, we strongly recommend Apis’ “LTE/EPC System Overview” course.

Target Audience:

Engineers, Technical and product marketing professional working for wireless operators, utility companies, equipment and device manufacturers, as well as security professionals, IoT architects and designers.

Learning Objectives :
After successful completion of this 2-day course, the members can:

List IOT and 3GPP, GSMA, ITU-T and ETSI References
Separate among 3GPP and non-3GPP IoT Standards
Depict 3GPP Network Characteristics
Depict cell organize design and LTE radio and spine
Rundown LTE Radio and Backbone Features
Get familiar with 3GPP Standardized IoT Features
Recognize among MTC, eMTC, LTE-M, and NB-IoT
Portray IoT and LTE-M use cases
Separate between LTE-M and NB-IOT Standards
Clarify remote optimizations procedures and devices for IoT, for example, Power Save Mode (PSM) and

Course Agenda

Overview of Basic 3GPP and LTE Network Terms
3GPP Network Characteristics
LTE Radio and Backbone Features
Overview of 3GPP, GSMA, ITU-T, ETSI References IoT
3GPP Standardized IoT Features
Overview of LPWA: Comparison between LTE, NB-IoT, and LTE-M
Overview of LTE-M Features
LTE-M Architecture
LTE-M Cellular Technology Details
5G Systems and IoT
LTE-M Design, Implementation, Operations and Maintenance (O&M) Roadmaps

Request more information. Visit Tonex course link at below 
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