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5G RAN KPI Masterclass Analysis & Optimization
Last updated 8/2026
Created by Mohamed ELAdawi Ashour
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 333 Lectures ( 35h 24m ) | Size: 30.9 GB
Master 5G NSA/SA KPIs, call flows, counters, root-cause analysis, throughput, latency and practical RAN optimization.
What you'll learn
Analyze the main 5G RAN KPIs for NSA and SA networks, including accessibility, retainability, mobility, throughput and latency. Understand KPI formulas, counters and measurement points across the RAN, core network and end-to-end service path. Identify common KPI failure causes using call flows, protocol behavior, counters and practical network examples. Apply key parameters, timers and optimization actions to improve 5G RAN performance while understanding the trade-offs.Requirements
Basic knowledge of LTE or 5G mobile networks is recommended. Familiarity with RRC, MAC, RLC and PDCP is helpful but not mandatory. No vendor-specific experience is required.Description
This course provides a practical and structured understanding of5G RAN KPIs for both NSA and SA networks, supported by an end-to-end performance view.
The course goes beyond simply explaining KPI formulas. It showswhere each KPI is measured, which counters are used, how the related call flows work, what the common failure causes are, and which parameters, timers, or features can be used to improve network performance.
You will study the main 5G RAN performance areas, including
KPI fundamentals and 3GPP measurement concepts Accessibility KPIs such as EN-DC setup, RACH, RRC setup, NG signalling, and QoS flow setup Retainability and drop-rate analysis for 5G NSA and SA Mobility KPIs, including PSCell change, Xn/NG handover, andinter-RAT handover performance Traffic, active users, connected users, and spectral efficiency PRB utilization, MCS, CQI, MIMO rank, PDCCH, PUCCH, paging, and capacity indicators User and cell throughput, peak-throughput calculation, and end-to-end throughput limitations Latency, jitter, packet delay, and end-to-end latency optimization MAC, RLC, and PDCP retransmissions, packet loss, and reliability analysis Practical troubleshooting indicators such as PHR, PUSCH SINR, PUCCH SINR, SRS SINR, RSRP, and Timing AdvanceThe course combines3GPP references, practical network counters, KPI formulas, measurement points, parameter explanations, failure scenarios, optimization use cases, and real performance examples.
It is designed primarily forRAN optimization and performance engineers, RF and drive-test engineers, NOC and operations teams, solution architects, telecom consultants, and engineering managers. It is also suitable fortelecom AI/ML engineers and data scientists who want to strengthen their RAN domain knowledge for network analytics and automation.
Important: This is aprofessional, practice-oriented course rather than an entry-level introduction to telecommunications. It is best suited to learners who already have some practical exposure to mobile networks or are currently working in the telecom industry.It is not primarily intended for university students or fresh graduates who have not yet gained practical telecom/network experience.
By the end of the course, you will be able tointerpret 5G RAN KPIs, connect them to call flows and protocol layers, identify likely root causes, and select practical optimization actions while understanding their expected benefits and trade-offs.
Disclaimer
All KPI values, charts, trends, and network scenarios presented in this course are simulated examples developed based on practical engineering experience. Actual KPI values and observed behavior may vary significantly from one network to another depending on configuration, environment, traffic conditions, vendor implementation, and network design. Therefore, the exact figures or trends shown in the course should not be expected to appear identically in every network. The main objective is to demonstrate the underlying technical concepts, relationships, and troubleshooting logic.
Who this course is for
Senior RAN optimization and performance engineers seeking deeper KPI analysis, troubleshooting and optimization expertise. Telecom AI/ML engineers and data scientists who need stronger 5G RAN domain knowledge for network analytics and automation. Drive-test and post-processing engineers who want to connect field measurements with network counters and 5G RAN KPIs. RF, RAN, NOC and network operations engineers working with 5G NSA or SA performance. RAN solution architects, technical consultants and engineering managers involved in 5G performance improvement. Telecom engineers moving from LTE to 5G who already have basic mobile-network knowledge.Homepage
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