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Nokia 5G KPI Optimization Mastery

Name: Nokia 5G KPI Optimization Mastery
Price: 3499 INR
Availability: InStock

by Rajesh Kumar · in General · Last updated: August 8, 2026

Course Description

The Nokia 5G NR Optimization Mastery program is a hands-on, industry-aligned training designed to help telecom engineers master real-world 5G network optimization using Nokia tools, KPIs, and troubleshooting techniques.
This course goes beyond theory and focuses on practical implementation, enabling you to analyze network issues, optimize performance, and confidently work on live 5G networks.
Internal Links:
5G Protocol Analysis & Troubleshooting Masterclass (RAN + Core)
External Link
https://www.3gpp.org/specifications

 

[migrated-from-learnpress]

Curriculum

8 Sections • 70 Lessons • 10h 34m

1.15G Radio product family-RRH Preview 24 minute

1.25G Radio product family-BBU 20 minute

1.3AirScale System Module Overview 8 minute

1.4AirScale Common ASIA Interfaces 6 minute

1.5AirScale BBU re-use in evolution to 5G : LTE+5G 4 minute

1.65G gNodeB mmWave Configuration 4 minute

1.7Edunavo Nokia CM Dump Parser 19 minute

1.8Nokia Web Element Manager Hands on Deep Drive 39 minute

2.1RACH Call Flow & Troubleshooting 45 minute

2.2Purpose of RACH 22 minute

2.3Preamble Format 12 minute

2.4RACH KPI & Parameter Deep Drive

2.5Scenario- High Coverage 11 minute

2.6Scenario-High Throughput 13 minute

2.7Scenario-High Traffic 16 minute

2.8Scenario- Low Latency 7 minute

2.9Nokia RACH Parameter Planning Strategies: Same RSI, different PRACH Config Index & different msg-1FrequencyStart

2.10Nokia RACH Parameter Planning Strategies: Different RSI, same PRACH Config Index and msg-1FrequencyStart)

2.11High Coverage Scenario: Parameter Setting

2.12DL coverage quality indicators

2.13UL coverage quality indicators

2.14Beamforming Case

2.15Non beamforming case

2.16UL 4RX Diversity

3.12.1 RRC Signaling Discussion-Deep drive

3.22.2 RRC KPI Counter & KPI_ID discussion-Deep Drive

3.32.3 RRC KPI Failure Reason & Troubleshooting-Deep Drive

3.42.4 • Parameter change through Web Element Manager Hands On

3.52.5 Hands On: Nokia 5G NR KPI Simulated LAB - EDUNAVO

4.15G RLF (TS 38.321 5.17) 14 minute

4.25G BFR (TS 38.321 5.17) 10 minute

4.3Radio Link Failure – UE Initiated RLF 29 minute

4.4UE Initiated RLF-RACH Fail 29 minute

4.5UE Initiated RLF – DL Out of Sync 16 minute

4.6UE Initiated RLF – RLC Failure 30 minute

4.7UE Initiated RLF – other causes 6 minute

4.8SgNB Initiated RLF -DTX For DL HARQ Feedback 30 minute

4.9SgNB Initiated RLF – DTX of CSI on PUCCH 20 minute

4.10Radio Link Failure – RLC failure in SgNB 34 minute

4.11Retainability KPI Failure reason & Troubleshooting Deep Drive

4.12User Inactivity 25 minute

4.13Parameter change through Web Element Manager Hands On

5.14.1 Mobility Introduction 12 minute

5.24.2 Intra-frequency handovers activation 19 minute

5.34.3 Inter-frequency handovers activation 15 minute

5.44.4 Mobility measurements for handover 8 minute

5.54.5 N-KPI related to NSA intra frequency handovers 19 minute

5.64.6 N-KPI related to SA intra frequency handovers 21 minute

5.74.7 Handover Preparation Optimisation 10 minute

5.84.8 Handover Execution Optimization-Intra Freq 25 minute

5.94.9 NR cell Release Optimization (NSA Only) 12 minute

6.15.1 Throughput Calculation Handson With Calculator

6.25.2 Nokia Throughput Counter& KPI_ID Discussion Deep Drive

6.35.3 Factor Can Impact Throughput Deep Drive

6.45.4 Low Throughput Reason & Troubleshooting Deep Drive

6.55.5 Hands On: Nokia 5G NR KPI Simulated LAB - EDUNAVO

7.16.1 Source of Latency

7.26.2 Nokia Latency Counter & KPI_ID Discussion Deep drive

7.36.3 High Latency Troubleshooting Parameter

7.46.4 Hands On: Nokia 5G NR KPI Simulated LAB - EDUNAVO

8.1Scenario 1: Sudden RRC Setup Success Rate Degradation

8.2Scenario 2: High RLF Rate in Specific Beam Directions

8.3Scenario 3: UL Throughput Degradation During Peak Hours

8.4Scenario 4: Intra-Frequency Handover Failure Increase

8.5Scenario 5: PDU Session Establishment Failures for URLLC Slice

8.6Scenario 6: DL Throughput Degradation with High MCS but Low Rank

8.7Scenario 7: Latency Spikes for Gaming / AR Services (5QI = 79)

8.8Scenario 8: Persistent High DL BLER in Macro Cell

8.9Scenario 9: VoNR MOS Score Degradation in Dense Urban

8.10Scenario 10: Latency Optimization for Industrial IoT (URLLC)

Instructor

Rajesh Kumar

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