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Network optimization presentation generic dec18

This document describes Fracton Technologies and its network optimization solutions. Fracton is an Indian company that focuses on innovations in radio access network optimization for GSM, UMTS, and LTE technologies. It offers a range of network optimization services and has an outstanding track record of optimizing networks for leading mobile operators. Its flagship product is MaxCell, an automated optimization tool that optimizes network performance and quality of experience by tuning cell database parameters based on network configuration and performance data.

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Fracton Technologies The Cellular Symphony! Innovative Solutions for Network Optimization Authorized Partner
▪ A privately held company, headquartered in India ▪ Focused on innovations in RAN Optimization for GSM, UMTS & LTE Technologies ▪ Outstanding track record in offering Optimization Services to the leading operators ▪ Proud winner of 2015 Graham Bell Award for Best Telecom Product About Us The Company The Team ▪ The team possesses world class expertise in – ▪ Planning & Management of Mobile Networks ▪ Design & Development of Telecom Products ▪ A fairly young, motivated and highly agile team Strictly Confidential 2
Network Service Offerings Strictly Confidential 3 GSM/UMTS/LTE Network Parametric Optimization Radio Access Network Audit Automatic Frequency Planning Spectrum Re-farming Wide Range of Services offered by Fracton effectively addresses the challenges faced by Mobile Operators!
RAN Challenges faced by MNOs Strictly Confidential 4 Inability to extract the maximum out of the installed RAN assets due to a number of factors! RAN Asset Utilization Improving KPI performance & fulfilling Regulator requirements on KPI Targets! Improving KPIs Customer has turned more Quality Conscious – Quality Differentiation is Vital! Enhancing Customer Experiences Frequency Planning requirements are becoming more and more stringent due to reducing available spectrum on GSM! Frequency Planning
RAN Challenges faced by MNOs (Cntd.) Strictly Confidential 5 Carving out sizable chunk of spectrum while minimizing the impact on QoS/QoE for GSM traffic is a massive challenge! Spectrum Refarming Reliable & seamless QoE. Tackling complicated traffic planning & Interference Management is crucial for extracting the value of today’s Heterogeneous Landscape! HetNet Landscape Efficient traffic balancing & offloading to intra /inter technologies is crucial for handling exponential traffic increase! Increased Data Traffic Challenge Widespread small cell deployment is the need of the hour but comes with a range of unique challenges! Small Cell Integration
The Enabler!
MaxCell – Introduction Spectrum Refarming Parametric Optimization Network Consolidation
MaxCell – Core Philosophy Each Cell is Unique! So are each of its neighbor relationships! Why to condemn them to a herd culture, then? By leaving their critical parameters at their default levels! Respect their individuality, instead! Give them what they ask for… and allow your network to perform at its best! Strictly Confidential 8
Parametric Optimization
▪ An OSS based RAN Optimization Tool ▪ Addresses the Uniqueness of each Cell & Neighbour ▪ Optimizes Network Performance & Quality of Experience in a Flash! ✓ Reduction in Customer Complaints ✓ Reduction in Call Drops ✓ Improvement in Voice Quality ✓ Reduction in Handover Failures ✓ Reduction in iRAT Handover Failures ✓ Improvement in Data Throughput ▪ Enables a Dynamic & Continuous Network Optimization Regime ▪ Significant Capex & Opex Reduction ▪ Multi-vendor, Multi-technology Solution MaxCell – Parametric Optimization Strictly Confidential 10 Pre-Post KPI Reports OSS/NMS Operator’s Configuration Management System Operator’s Performance Management System Performance Data Existing Configuration MR/Trace Data/ Traffic Recordings Recommended Configuration
Traditional Way Default Cell DB Parameters Set at Network Level No Performance Gains Manual Way Optimized Cell DB Parameters on RNC/BSC or Cluster Level Marginal Performance Gains Automated Way MaxCell Optimizes Per Cell/Per Neighbor Cell DB Parameters Decisions Based on Radio Network Configuration & Performance Counters, KPIs & MRR Reports Significant Performance Gains Strictly Confidential 11 Why MaxCell ? Automated Way of Cell Database Parameters Tuning
Strictly Confidential 12 MaxCell Solution is Based on Iterative Parameters Tuning Cycles MaxCell 4G Optimization Cycle MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment RSRP & Ant Para Optimization •Coverage Optimization •No Dominance Optimization •Pilot Pollution Optimization •SINR & CQI Optimization RF Performan ce Optimizati on •Intra/Inter Frequency Cell Re-selection •Inter RAT Cell Re-selection •Inter RAT & Inter Frequency HO •Intra Frequency HO Parameters •DL & UL Throughput LTE Key Features •Carrier Aggregation •MIMO •CSFB & SRVCC •HetNet – Small Cells Neighbor List •PCI Optimization •Intra & Inter Frequency Neighbor Lists •IRAT Neighbor Lists
Strictly Confidential 13 Typical Project Schedule – Improvements Observed in a Fortnight MaxCell 4G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – SINR, CQI, Layers Re-selection Criteria •Schedule Traffic Recordings – MR & CQI Week 2 •Import Network Configuration •Import CM, PM & MR/Trace Recordings Data •Run MaxCell Optimizer •Generate Antenna Conf. & Cell Database Parameters Tuning Recommendations Week 3-4 •Iteration 1a: Ant Conf & RSRP Power. •Performance Data Collection for Iterations 1b, 1c & 1d – MR/Trace •Iteration 1b: Intra Frequency & Inter RAT Cell Re-selection & HO Optimization •Iteration 1c: Inter, Intra & Inter RAT Neighbor Lists Optimization •Iteration 1d: Throughput DL & UL, Capacity, Features like MIMO, SRVCC, CSFB etc. •Performance Data Collection for 2nd Iteration – MR/Trace & Counters •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
MaxCell 4G Solution for ZTE Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • NetMax MR/CTS Recording – MR Recordings/Traces • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & NetMax Recordings for Assessing Traffic behavior which forms the basis for Optimization Algorithms.
MaxCell 4G Solution for Nokia Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Megamon-Emil Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Megamon Recordings for Assessing Traffic behavior which forms the basis for Optimization Algorithms.
MaxCell 4G Solution for Huawei Data Input Requirements • Configuration Dump – CME Configuration Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Huawei LTE Call Trace / CHR Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Traces Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
MaxCell 4G Solution for Ericsson Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Ericsson LTE CTR Recordings – Layer-3 Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Cell Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
Strictly Confidential 18 MaxCell Solution is Based on Iterative Parameters Tuning Cycles MaxCell 3G Optimization Cycle MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment CPICH & Ant Para Optimization •Coverage Optimization •Pilot Pollution •No Dominance Areas Optimization Soft Handovers •Cell Selection/ReSelection – Intra/Inter Freq •Soft Handovers Parameters Optimization •IRAT Cell Reselection & HO Optimization •Inter Frequency HO Settings Capacity & Admission Control •AC Thresholds •Max Power Per Link / FACH Power •HSDPA & DL Power •Code Allocation Neighbor List •Scrambling Code Optimization •Intra & Inter Frequency Neighbor Lists •IRAT Neighbor Lists
Strictly Confidential 19 Typical Project Schedule – Improvements Observed in a Fortnight MaxCell 3G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – Voice Vs HSDPA •Schedule Traffic Recordings – MR/Traces/Traffic Recording Week 2 •Import Network Configuration •Import CM, PM & Traffic Recordings Data •Run MaxCell Optimizer •Generate Antenna Conf. & Cell Database Parameter Recommendations Week 3-4 •Iteration 1a: Ant Conf & CPICH Power. •Performance Data Collection for Iterations 1b, 1c & 1d – MR/Traces/Traffic Recording •Iteration 1b: Soft Handover, Inter Frequency & Inter RAT Performance Optimization •Iteration 1c: Downlink/Uplink Capacity, HSDPA, Throughput Optimization •Iteration 1d: Idle Mode & Neighbor List Optimization •Performance Data Collection for 2nd Iteration – MR/Traces/Traffic Recording •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
MaxCell 3G Solution for ZTE Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • ZTE MR/CDT/Call Trace System (CTS) – MR/Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
MaxCell 3G Solution for Nokia Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Megamon-Emil /CHR / MR Recordings – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Megamon Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
MaxCell 3G Solution for Huawei Data Input Requirements • Configuration Dump – CME Configuration Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Huawei CHR / PCHR Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
MaxCell 3G Solution for Ericsson Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Path: /var/opt/ericsson/nms_umts_pms_seg/segment1/XML/ – Counter Cell Level Data & Per Neighbor Level – 7 Working Days from 10 am to 10 pm – MO Classes: UtranCell, RncFunction, Hsdsch, Handover, UtranRelation, GsmRelation – NBH & BBH KPI Reports • GPEH Traffic Recording – WMRR & WNCS Recordings – GPEH data for RNC with filter “RRC_Measurement_Reports” • 3 Days Hours Data from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & GPEH Traffic Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
Strictly Confidential 24 MaxCell 2G Optimization Cycle MaxCell Solution is Based on Iterative Parameters Tuning Cycles MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment Frequency Fine Tuning •RF Path Issues •Interference Reduction •Overshooting Cells Optimization Handovers •Handovers Parameters Optimization •Neighbor List Optimization •QOS Features Optimization Traffic Balancing/ Capacity •Dual Band Layers •Traffic Balancing / Capacity •QOS Features Optimization •Hierarchical / IBC Cells Opt Power Control •Power Control Parameters Opt •Interference Control
Strictly Confidential 25 Typical Project Schedule – Improvements Observed in a Fortnight MaxCell 2G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – DCR, Voice Quality & HOSR •Schedule Traffic Recordings – MR / Traffic Recording Week 2 •Import Network Configuration •Import CM, PM & Traffic Recordings Data •Run MaxCell Optimizer •Generate Cell Database Parameter Recommendations Week 3-4 •Iteration 1a: Freq Plan Fine Tuning & Neighbor List Tuning •Performance Data Collection for Iterations 1b & 1c – In case Freq Plan Tuning is req. •Iteration 1b: Traffic Balancing; Capacity Optimization; Dual Band Layers Opt •Iteration 1c: Handover Performance, Power Control & QOS Features Optimization •Performance Data Collection for 2nd Iteration – MR/Traffic Recordings & Counters •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
Spectrum Refarming
Strictly Confidential 27 Spectrum Refarming- Challenges & Task Complex Network Transformation RF Redesign – Coverage & Capacity Multiple AFP Implementations Traffic Balancing Between Layers Cell Database Parameters Tuning Spectral Efficiency User Perceived Quality Improvement Quality • Spectral Efficiency & Frequency Plan Approach • Activation of QOS Enhancement Features • Cell Database Parameters Tuning Capacity • Traffic Dimensioning on New Spectrum • Offloading Traffic towards Different Technologies • TRX Dimensioning Coverage Identify Coverage Deficient Areas & Recommendations
Spectrum Refarming Steps • BSS Configuration Audit & Scenarios Identification – Analysis of Existing Radio Network Configuration – Identification of Different Spectrum Re-farming Scenarios • Site Configurations – Underlay/Overlay; Band Segregation between BCCH/TCH • TRX Dimensioning • AMR HR Usage Thresholds • Traffic Sharing with LTE/UMTS • Traffic Handling Capacity / Utilization • Measurement Reports Recordings – MR Data Collection for 2-3 Days on Existing Network – Creation for Project for Various Scenarios • Running Simulations – KPI Performance Prediction for different Scenarios – Coverage & Capacity Sites Identification using Heat Maps – Identification of Optimum Re-farming Strategy/Scenario – Identification of BoQ • Spectrum Re-farming – AFP – Neighbor List • Cell Database Parameter Optimization – Frequency plan Fine-tuning – Parametric Optimization Strictly Confidential 28 Parametric Optimization Spectrum Re-farming Running Simulations Measurement Reports Recordings BSS Configuration Audit & Scenarios Identification
Traffic & Coverage Heat Maps • MaxCell’s Optimization & Analytics Modules are also tailor-made for Spectrum Re- farming related Activities – Capable of Generation of Traffic & Coverage Heat Maps based on Traffic/Trace Recordings captured on OEMs OSS e.g. Ericsson MRR & NCS Recordings – Sophisticated Proprietary Algorithms for Generating Traffic & Coverage Heat Maps on GIS Tool – Easy Visualization – Accurately Locates Coverage Gaps – Ability to Generate Coverage Heat Maps for Various Re-farming Scenarios – Aids in Visualization of High Traffic Carrying Areas • Use Cases – Identification of Poor Coverage Areas for Underlay/Overlay/BCCH 900/BCCH 1800 – Depiction of Coverage in different Spectrum Re-farming Scenarios – New Coverage Sites Planning – Placement of Sites on GIS-Map Strictly Confidential 29
Coverage Heat Map Analysis Heat Map – Existing 900 Band Underlay Heat Map – Re-farmed Conversion of 900 Band Underlay to 1800 Band Underlay Strictly Confidential 30
Automatic Frequency Planning
AFP – Introduction Strictly Confidential 32 ✓ A Multi-Vendor Automatic Frequency Planning ✓ Based on Mobile Measurement Reports Captured ✓ Improves Spectral Efficiency & Capacity ✓ Optimizes Network Performance KPIs ➢ Drop Call Rate ➢ Voice Quality (RxQual) ➢ Handover Success Rate ➢ TCH Assignment Success Rate
AFP Cycle Strictly Confidential 33 •Configuration & Performance Data •Site Database •BSIC Tuning Preparation •Network Freeze •MR & HO Data Collection Traffic Recordings •Data Processing •Model Creation & Evaluation IM Generation •FP Generation •Neighbor Plan Generation FP Iterations •FP & Neighbor Plan Download •Overshooting/Swap Cell Correction •Physical Optimization Implementation
Case Studies
Strictly Confidential 35 Case Study – Parametric Optimization (LTE) Leading Operator - Overall LTE Pre – Post KPIs (5 Working Days Average) Radio Drops reduced by 15% • Tx Power Optimization • RS Power Optimization (Pa & Pb) • Antenna Configuration Optimization • Cell & Neighbor Level Parameters Tuning • RRM Parameters • PRACH Optimization • UL Power Control • PCI & Neighbor Relation Fine Tuning • Mobility Robustness and iRAT Optimization • Features Fine-Tuning Performance Optimization Areas • Radio Environment • Maximized SINR and CQI • Maximized Cell Edge Performance • Improved UL Noise Rise and UL RSSI • Key Performance Indicators • Significant Performance Gains in following KPIs: • Accessibility- Setup Success Rate • Retainability- Drop Call Rate • Handover Success Rate- Inter/Intra • DL/UL Throughput Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Per Carrier • Neighbor Relations – Intra & Inter RAT • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept Summary - QoS NBH UL RSSI reduced by 1.3 dB Intra System HO Failure Rate reduced by 16.9% DL Throughput increased by 11.5% UL Throughput increased by 9.3%
Case Study – Parametric Optimization (UMTS) • Pilot Pollution & Soft Handover Gains • Antenna Configuration Optimization • CPICH Power & Cell Individual Offset • Cell & Per Neighbor Level Parameters Tuning • RACH Optimization • Cell Capacity • Inter System iRAT & Inter Freq - qRxlevMin • Soft Handovers Parameters Optimization • Cell Coverage Shaping – Cell Individual Offsets • Per Neighbor Relation Thresholds Setting • reportingRange, TimeToTrigger, qOffsetxsn • HSDPA • Power Optimization / PDSCH Codes Performance Optimization Areas • Resource Utilization • Maximization & Optimum Usage of RF Network Resources • CAPEX & OPEX Reduction • Key Performance Indicators • Significant Performance Gains in following KPIs: • RRC & RAB Setup Success Rate for CS & HSDPA • Soft Handover Success Rate • RAB Drop Call Rate for CS & HSDPA • BLER Performance • HSDPA Throughput • Customer Experience • Marked Improvement in KQIs Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Multi Carrier Level • Traffic Level • Per Neighbor Relation • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept 0 0.5 1 1.5 2 2.5 RRC Setup Failure Rate CS RRC Setup Failure Rate PS RAB Dropped Call Rate CS RAB Dropped Call Rate PS Pre Post Leading Operator - Overall UMTS Pre – Post NBH KPIs (5 Working Days Average) Significant Improvement is observed in all five KPIs 1840 1860 1880 1900 1920 1940 1960 1980 2000 2020 Pre Post HS Throughput Kbps
Strictly Confidential 37 Case Study – Parametric Optimization (GSM) Leading Operator - Overall GSM Pre – Post NBH KPIs (5 Working Days Average) The overall improvement in TCH Drop is 33%. Downlink Quality performance has also Improved and Bad Quality Samples reduced by 17% 96.50 97.00 97.50 98.00 98.50 99.00 99.50 Call Comple on Rate HOSR Good DL Rxqual% Good UL Rxqual% 98.95 97.44 97.29 97.71 99.30 97.80 97.75 97.81 Pre Post 0.50 0.60 0.70 0.80 0.90 1.00 1.10 1.20 Average of TCH Drop Average of SD Drop 1.05 1.11 0.70 1.07 Pre Post • Frequency Fine Tuning • Optimization of ARFCN Assignment on BCCH & TCH Layers on 10% of the Cells • Cell & Per Neighbor Level Parameters Tuning • Dual Band Layers – Traffic Balancing • Handover Performance • Handover Trigger Thresholds • Cell Coverage Shaping – Tuning Offsets • Per Neighbor Relation Thresholds Setting • QoS Enhancement Features • Activation of Features e.g. PS DL Power Control • Repeated SAACH/FAACH Performance Optimization Areas • Resource Utilization • Maximization & Optimum Usage of RF Network Resources • CAPEX & OPEX Reduction • Key Performance Indicators • Significant Performance Gains in following KPIs: • Drop Call Rate • Handover Success Rate • TCH Assignment Success Rate • Good Voice Quality Samples • Customer Experience • Marked Improvement in KQIs Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Dual Band Layers • BCCH; TCH 900 & TCH 1800 • Per Neighbor Relation • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept Summary - QoS NBH
Case Study 2 – Parametric Optimization (GSM) Summary - QoS NBH & BBH ✓ Project Delivered for a Tier-1 Operator ✓ Network Size- 4000+ Sites ✓ Site Configuration- 900M & 900+1800M ✓ 3 Cycles of AFP and Automatic Parameter Optimization Using MaxCell were Performed ✓ Significant Improvement Achieved in all Major KPIs, NQI and Customer Complaints ✓ Project Highlights: ✓ 28% Improvement in DLQ ✓ 21% Improvement in DCR ✓ 37% Improvement in Cells Meeting All KPIs Defaulter Cells in BBH
Case Study 2 – Parametric Optimization (GSM) Summary- NQI & Customer Complaints ✓ Project Highlights: ✓ Significant Improvement in Voice & Data NQI ✓ 142% Jump in Voice NQI ✓ 37% Improvement in Cells Meeting All KPIs ✓ 42% Jump in Overall NQI ✓ 54% Reduction in Customer Complaints Due to Radio Issues
40 Case Study – Spectrum Refarming Summary- QoS ✓ Project Delivered for a Tier-1 Operator ✓ Refarming- 5MHz Spectrum Carved from 1800MHz ✓ Network Size- 4500+ Sites ✓ Site Configuration- 900M & 900+1800M ✓ Even after Spectrum Reduction Major KPIs Were Restored to Previous Level. In Few KPIs Improvement was Achieved ✓ Project Highlights: ✓ 5MHz Spectrum Carved from GSM for LTE Deployment Without Impacting GSM Network’s Existing QoS ✓ Significant Improvement Achieved in SD Drop Rate- 12%
Case Study – AFP Summary- QoS ✓ Project Delivered for a Tier-1 Operator ✓ Network Size- 5700+ Sites ✓ Site Configuration- 900M, 1800M & 900+1800M ✓ Significant Improvement Achieved in all Major KPIs ✓ Project Highlights: ✓ 75%+ Defaulting Cells Shown Improvement- DLQ and ULQ ✓ 35%+ Reduction in Defaulters DLQ ✓ 28%+ Reduction in Defaulters ULQ Defaulter Cells in BBH
Case Study – AFP Strictly Confidential 42 Significant improvement in Pre AFP DLQ Defaulter Cells ▪ More than 80% defaulter Cells have shown improvement Post AFP ▪ More than 35% reduction in defaulter Cells count Post AFP Improvement in defaulter cells in DL RxQual
Strictly Confidential 43 Improvement in defaulter cells in UL RxQual Significant improvement in Pre AFP ULQ Defaulter Cells ▪ More than 79% defaulter Cells have shown improvement Post AFP ▪ More than 28% reduction in defaulter Cells count Post AFP Case Study – AFP
KPI Name Pre (NBH) Post (NBH) Improvement (%) TCH Drop Rate 0.91 0.7 23.08 SD Drop Rate 0.52 0.41 21.15 HO Failure Rate 2.03 1.81 10.84 TCH Assignment Failure Rate 0.5 0.41 18.00 RxQual DL – Bad (6&7) 2.98 2.16 27.52 RxQual UL – Bad (6&7) 2.32 2.05 11.64 Call Setup Failure Rate 0.81 0.68 16.05 (A) Tier 1 Operator, Asia Network Size: GSM 8000 Cells Scope of Work: Automatic Frequency Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, QoS related Features & Functionality enabling/fine-tuning, Core Network troubleshooting, Transport Network troubleshooting. Duration: 16 weeks KPIs Improved: Summary of Few Recent Projects
(B) Tier 1 Operator, Asia KPI Name Pre (NBH) Post (NBH) Improvement (%) RRC Setup Failure Rate CS 0.68 0.52 23.53 RRC Setup Failure Rate PS 1.44 1.29 10.42 Soft HO Failure Rate 3.62 2.45 32.32 RAB Dropped Call Rate CS 0.79 0.6 24.05 RAB Dropped Call Rate PS 2.25 1.9 15.56 Data Throughput – DL (Mbps) 18.51 20.13 8.75 Network Size: UMTS 10000 Cells Scope of Work: Automatic PSC Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, Antenna Physical Parameter Optimization Duration: 18 weeks KPIs Improved:
(C) Tier 1 Operator, Africa KPI Name Pre (NBH) Post (NBH) Improvement RRC Establishment Fail Rate 0.75% 0.67% 10.66% e-RAB Drop Rate 1.40% 1.10% 21.42% Handover Failure Rate 2.95% 2.25% 23.72% Maximum Cell DL PDCP Throughput 33 Mbps 41 Mbps 24.24% Maximum Cell UL PDCP Throughput 9.5 Mbps 10.45 Mbps 10.55% Network Size: LTE 3500 Cells Scope of Work: Automatic PCI Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, Antenna Physical Parameter Optimization Duration: 12 weeks KPIs Improved:
Fracton Technologies 47 Authorized PartnerAuthorized Partner Authorized Partner: Email: bleivik@tarec-in.com Web: www.tarec-in.com

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Network optimization presentation generic dec18

  • 1.
    Fracton Technologies The CellularSymphony! Innovative Solutions for Network Optimization Authorized Partner
  • 2.
    ▪ A privatelyheld company, headquartered in India ▪ Focused on innovations in RAN Optimization for GSM, UMTS & LTE Technologies ▪ Outstanding track record in offering Optimization Services to the leading operators ▪ Proud winner of 2015 Graham Bell Award for Best Telecom Product About Us The Company The Team ▪ The team possesses world class expertise in – ▪ Planning & Management of Mobile Networks ▪ Design & Development of Telecom Products ▪ A fairly young, motivated and highly agile team Strictly Confidential 2
  • 3.
    Network Service Offerings StrictlyConfidential 3 GSM/UMTS/LTE Network Parametric Optimization Radio Access Network Audit Automatic Frequency Planning Spectrum Re-farming Wide Range of Services offered by Fracton effectively addresses the challenges faced by Mobile Operators!
  • 4.
    RAN Challenges facedby MNOs Strictly Confidential 4 Inability to extract the maximum out of the installed RAN assets due to a number of factors! RAN Asset Utilization Improving KPI performance & fulfilling Regulator requirements on KPI Targets! Improving KPIs Customer has turned more Quality Conscious – Quality Differentiation is Vital! Enhancing Customer Experiences Frequency Planning requirements are becoming more and more stringent due to reducing available spectrum on GSM! Frequency Planning
  • 5.
    RAN Challenges facedby MNOs (Cntd.) Strictly Confidential 5 Carving out sizable chunk of spectrum while minimizing the impact on QoS/QoE for GSM traffic is a massive challenge! Spectrum Refarming Reliable & seamless QoE. Tackling complicated traffic planning & Interference Management is crucial for extracting the value of today’s Heterogeneous Landscape! HetNet Landscape Efficient traffic balancing & offloading to intra /inter technologies is crucial for handling exponential traffic increase! Increased Data Traffic Challenge Widespread small cell deployment is the need of the hour but comes with a range of unique challenges! Small Cell Integration
  • 6.
  • 7.
  • 8.
    MaxCell – CorePhilosophy Each Cell is Unique! So are each of its neighbor relationships! Why to condemn them to a herd culture, then? By leaving their critical parameters at their default levels! Respect their individuality, instead! Give them what they ask for… and allow your network to perform at its best! Strictly Confidential 8
  • 9.
  • 10.
    ▪ An OSSbased RAN Optimization Tool ▪ Addresses the Uniqueness of each Cell & Neighbour ▪ Optimizes Network Performance & Quality of Experience in a Flash! ✓ Reduction in Customer Complaints ✓ Reduction in Call Drops ✓ Improvement in Voice Quality ✓ Reduction in Handover Failures ✓ Reduction in iRAT Handover Failures ✓ Improvement in Data Throughput ▪ Enables a Dynamic & Continuous Network Optimization Regime ▪ Significant Capex & Opex Reduction ▪ Multi-vendor, Multi-technology Solution MaxCell – Parametric Optimization Strictly Confidential 10 Pre-Post KPI Reports OSS/NMS Operator’s Configuration Management System Operator’s Performance Management System Performance Data Existing Configuration MR/Trace Data/ Traffic Recordings Recommended Configuration
  • 11.
    Traditional Way Default CellDB Parameters Set at Network Level No Performance Gains Manual Way Optimized Cell DB Parameters on RNC/BSC or Cluster Level Marginal Performance Gains Automated Way MaxCell Optimizes Per Cell/Per Neighbor Cell DB Parameters Decisions Based on Radio Network Configuration & Performance Counters, KPIs & MRR Reports Significant Performance Gains Strictly Confidential 11 Why MaxCell ? Automated Way of Cell Database Parameters Tuning
  • 12.
    Strictly Confidential 12 MaxCellSolution is Based on Iterative Parameters Tuning Cycles MaxCell 4G Optimization Cycle MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment RSRP & Ant Para Optimization •Coverage Optimization •No Dominance Optimization •Pilot Pollution Optimization •SINR & CQI Optimization RF Performan ce Optimizati on •Intra/Inter Frequency Cell Re-selection •Inter RAT Cell Re-selection •Inter RAT & Inter Frequency HO •Intra Frequency HO Parameters •DL & UL Throughput LTE Key Features •Carrier Aggregation •MIMO •CSFB & SRVCC •HetNet – Small Cells Neighbor List •PCI Optimization •Intra & Inter Frequency Neighbor Lists •IRAT Neighbor Lists
  • 13.
    Strictly Confidential 13 TypicalProject Schedule – Improvements Observed in a Fortnight MaxCell 4G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – SINR, CQI, Layers Re-selection Criteria •Schedule Traffic Recordings – MR & CQI Week 2 •Import Network Configuration •Import CM, PM & MR/Trace Recordings Data •Run MaxCell Optimizer •Generate Antenna Conf. & Cell Database Parameters Tuning Recommendations Week 3-4 •Iteration 1a: Ant Conf & RSRP Power. •Performance Data Collection for Iterations 1b, 1c & 1d – MR/Trace •Iteration 1b: Intra Frequency & Inter RAT Cell Re-selection & HO Optimization •Iteration 1c: Inter, Intra & Inter RAT Neighbor Lists Optimization •Iteration 1d: Throughput DL & UL, Capacity, Features like MIMO, SRVCC, CSFB etc. •Performance Data Collection for 2nd Iteration – MR/Trace & Counters •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
  • 14.
    MaxCell 4G Solutionfor ZTE Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • NetMax MR/CTS Recording – MR Recordings/Traces • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & NetMax Recordings for Assessing Traffic behavior which forms the basis for Optimization Algorithms.
  • 15.
    MaxCell 4G Solutionfor Nokia Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Megamon-Emil Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Megamon Recordings for Assessing Traffic behavior which forms the basis for Optimization Algorithms.
  • 16.
    MaxCell 4G Solutionfor Huawei Data Input Requirements • Configuration Dump – CME Configuration Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Huawei LTE Call Trace / CHR Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Traces Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 17.
    MaxCell 4G Solutionfor Ericsson Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Ericsson LTE CTR Recordings – Layer-3 Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Cell Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 18.
    Strictly Confidential 18 MaxCellSolution is Based on Iterative Parameters Tuning Cycles MaxCell 3G Optimization Cycle MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment CPICH & Ant Para Optimization •Coverage Optimization •Pilot Pollution •No Dominance Areas Optimization Soft Handovers •Cell Selection/ReSelection – Intra/Inter Freq •Soft Handovers Parameters Optimization •IRAT Cell Reselection & HO Optimization •Inter Frequency HO Settings Capacity & Admission Control •AC Thresholds •Max Power Per Link / FACH Power •HSDPA & DL Power •Code Allocation Neighbor List •Scrambling Code Optimization •Intra & Inter Frequency Neighbor Lists •IRAT Neighbor Lists
  • 19.
    Strictly Confidential 19 TypicalProject Schedule – Improvements Observed in a Fortnight MaxCell 3G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – Voice Vs HSDPA •Schedule Traffic Recordings – MR/Traces/Traffic Recording Week 2 •Import Network Configuration •Import CM, PM & Traffic Recordings Data •Run MaxCell Optimizer •Generate Antenna Conf. & Cell Database Parameter Recommendations Week 3-4 •Iteration 1a: Ant Conf & CPICH Power. •Performance Data Collection for Iterations 1b, 1c & 1d – MR/Traces/Traffic Recording •Iteration 1b: Soft Handover, Inter Frequency & Inter RAT Performance Optimization •Iteration 1c: Downlink/Uplink Capacity, HSDPA, Throughput Optimization •Iteration 1d: Idle Mode & Neighbor List Optimization •Performance Data Collection for 2nd Iteration – MR/Traces/Traffic Recording •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
  • 20.
    MaxCell 3G Solutionfor ZTE Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • ZTE MR/CDT/Call Trace System (CTS) – MR/Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 21.
    MaxCell 3G Solutionfor Nokia Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Megamon-Emil /CHR / MR Recordings – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Megamon Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 22.
    MaxCell 3G Solutionfor Huawei Data Input Requirements • Configuration Dump – CME Configuration Dump taken through OSS • Performance Counters & KPIs – OSS Counter Cell, Frequency Level & Per Neighbour Level Stats – 7 Working Days from 10 am to 10 pm – NBH & BBH KPI Reports • Huawei CHR / PCHR Recording – Layer 3 Cell Trace Recordings • 3 Days & Hourly recordings from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & Trace Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 23.
    MaxCell 3G Solutionfor Ericsson Data Input Requirements • Configuration Dump – OSS XML Dump taken through OSS Common Explorer • Performance Counters & KPIs – OSS Path: /var/opt/ericsson/nms_umts_pms_seg/segment1/XML/ – Counter Cell Level Data & Per Neighbor Level – 7 Working Days from 10 am to 10 pm – MO Classes: UtranCell, RncFunction, Hsdsch, Handover, UtranRelation, GsmRelation – NBH & BBH KPI Reports • GPEH Traffic Recording – WMRR & WNCS Recordings – GPEH data for RNC with filter “RRC_Measurement_Reports” • 3 Days Hours Data from 11:00 am to 12:00 pm Optimization Strategy: Exploiting Performance Counters & GPEH Traffic Recordings for Assessing Traffic & Inter Cell behavior which forms the basis for Optimization Algorithms.
  • 24.
    Strictly Confidential 24 MaxCell2G Optimization Cycle MaxCell Solution is Based on Iterative Parameters Tuning Cycles MaxCell Inputs Optimization Targets Optimization Engine Parameters Implementation Performance Assessment Frequency Fine Tuning •RF Path Issues •Interference Reduction •Overshooting Cells Optimization Handovers •Handovers Parameters Optimization •Neighbor List Optimization •QOS Features Optimization Traffic Balancing/ Capacity •Dual Band Layers •Traffic Balancing / Capacity •QOS Features Optimization •Hierarchical / IBC Cells Opt Power Control •Power Control Parameters Opt •Interference Control
  • 25.
    Strictly Confidential 25 TypicalProject Schedule – Improvements Observed in a Fortnight MaxCell 2G Optimization Timelines Week 1 •Selection of Optimization Area •Existing Performance & KPI Assessment •Define Optimization Targets – DCR, Voice Quality & HOSR •Schedule Traffic Recordings – MR / Traffic Recording Week 2 •Import Network Configuration •Import CM, PM & Traffic Recordings Data •Run MaxCell Optimizer •Generate Cell Database Parameter Recommendations Week 3-4 •Iteration 1a: Freq Plan Fine Tuning & Neighbor List Tuning •Performance Data Collection for Iterations 1b & 1c – In case Freq Plan Tuning is req. •Iteration 1b: Traffic Balancing; Capacity Optimization; Dual Band Layers Opt •Iteration 1c: Handover Performance, Power Control & QOS Features Optimization •Performance Data Collection for 2nd Iteration – MR/Traffic Recordings & Counters •Iteration 2 (Fine Tuning): Recommendations Generation & Implementation Week 5 •Pre Post Performance Assessment •Benchmarking •Project Report Submission
  • 26.
  • 27.
    Strictly Confidential 27 SpectrumRefarming- Challenges & Task Complex Network Transformation RF Redesign – Coverage & Capacity Multiple AFP Implementations Traffic Balancing Between Layers Cell Database Parameters Tuning Spectral Efficiency User Perceived Quality Improvement Quality • Spectral Efficiency & Frequency Plan Approach • Activation of QOS Enhancement Features • Cell Database Parameters Tuning Capacity • Traffic Dimensioning on New Spectrum • Offloading Traffic towards Different Technologies • TRX Dimensioning Coverage Identify Coverage Deficient Areas & Recommendations
  • 28.
    Spectrum Refarming Steps •BSS Configuration Audit & Scenarios Identification – Analysis of Existing Radio Network Configuration – Identification of Different Spectrum Re-farming Scenarios • Site Configurations – Underlay/Overlay; Band Segregation between BCCH/TCH • TRX Dimensioning • AMR HR Usage Thresholds • Traffic Sharing with LTE/UMTS • Traffic Handling Capacity / Utilization • Measurement Reports Recordings – MR Data Collection for 2-3 Days on Existing Network – Creation for Project for Various Scenarios • Running Simulations – KPI Performance Prediction for different Scenarios – Coverage & Capacity Sites Identification using Heat Maps – Identification of Optimum Re-farming Strategy/Scenario – Identification of BoQ • Spectrum Re-farming – AFP – Neighbor List • Cell Database Parameter Optimization – Frequency plan Fine-tuning – Parametric Optimization Strictly Confidential 28 Parametric Optimization Spectrum Re-farming Running Simulations Measurement Reports Recordings BSS Configuration Audit & Scenarios Identification
  • 29.
    Traffic & CoverageHeat Maps • MaxCell’s Optimization & Analytics Modules are also tailor-made for Spectrum Re- farming related Activities – Capable of Generation of Traffic & Coverage Heat Maps based on Traffic/Trace Recordings captured on OEMs OSS e.g. Ericsson MRR & NCS Recordings – Sophisticated Proprietary Algorithms for Generating Traffic & Coverage Heat Maps on GIS Tool – Easy Visualization – Accurately Locates Coverage Gaps – Ability to Generate Coverage Heat Maps for Various Re-farming Scenarios – Aids in Visualization of High Traffic Carrying Areas • Use Cases – Identification of Poor Coverage Areas for Underlay/Overlay/BCCH 900/BCCH 1800 – Depiction of Coverage in different Spectrum Re-farming Scenarios – New Coverage Sites Planning – Placement of Sites on GIS-Map Strictly Confidential 29
  • 30.
    Coverage Heat MapAnalysis Heat Map – Existing 900 Band Underlay Heat Map – Re-farmed Conversion of 900 Band Underlay to 1800 Band Underlay Strictly Confidential 30
  • 31.
  • 32.
    AFP – Introduction StrictlyConfidential 32 ✓ A Multi-Vendor Automatic Frequency Planning ✓ Based on Mobile Measurement Reports Captured ✓ Improves Spectral Efficiency & Capacity ✓ Optimizes Network Performance KPIs ➢ Drop Call Rate ➢ Voice Quality (RxQual) ➢ Handover Success Rate ➢ TCH Assignment Success Rate
  • 33.
    AFP Cycle Strictly Confidential33 •Configuration & Performance Data •Site Database •BSIC Tuning Preparation •Network Freeze •MR & HO Data Collection Traffic Recordings •Data Processing •Model Creation & Evaluation IM Generation •FP Generation •Neighbor Plan Generation FP Iterations •FP & Neighbor Plan Download •Overshooting/Swap Cell Correction •Physical Optimization Implementation
  • 34.
  • 35.
    Strictly Confidential 35 CaseStudy – Parametric Optimization (LTE) Leading Operator - Overall LTE Pre – Post KPIs (5 Working Days Average) Radio Drops reduced by 15% • Tx Power Optimization • RS Power Optimization (Pa & Pb) • Antenna Configuration Optimization • Cell & Neighbor Level Parameters Tuning • RRM Parameters • PRACH Optimization • UL Power Control • PCI & Neighbor Relation Fine Tuning • Mobility Robustness and iRAT Optimization • Features Fine-Tuning Performance Optimization Areas • Radio Environment • Maximized SINR and CQI • Maximized Cell Edge Performance • Improved UL Noise Rise and UL RSSI • Key Performance Indicators • Significant Performance Gains in following KPIs: • Accessibility- Setup Success Rate • Retainability- Drop Call Rate • Handover Success Rate- Inter/Intra • DL/UL Throughput Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Per Carrier • Neighbor Relations – Intra & Inter RAT • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept Summary - QoS NBH UL RSSI reduced by 1.3 dB Intra System HO Failure Rate reduced by 16.9% DL Throughput increased by 11.5% UL Throughput increased by 9.3%
  • 36.
    Case Study –Parametric Optimization (UMTS) • Pilot Pollution & Soft Handover Gains • Antenna Configuration Optimization • CPICH Power & Cell Individual Offset • Cell & Per Neighbor Level Parameters Tuning • RACH Optimization • Cell Capacity • Inter System iRAT & Inter Freq - qRxlevMin • Soft Handovers Parameters Optimization • Cell Coverage Shaping – Cell Individual Offsets • Per Neighbor Relation Thresholds Setting • reportingRange, TimeToTrigger, qOffsetxsn • HSDPA • Power Optimization / PDSCH Codes Performance Optimization Areas • Resource Utilization • Maximization & Optimum Usage of RF Network Resources • CAPEX & OPEX Reduction • Key Performance Indicators • Significant Performance Gains in following KPIs: • RRC & RAB Setup Success Rate for CS & HSDPA • Soft Handover Success Rate • RAB Drop Call Rate for CS & HSDPA • BLER Performance • HSDPA Throughput • Customer Experience • Marked Improvement in KQIs Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Multi Carrier Level • Traffic Level • Per Neighbor Relation • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept 0 0.5 1 1.5 2 2.5 RRC Setup Failure Rate CS RRC Setup Failure Rate PS RAB Dropped Call Rate CS RAB Dropped Call Rate PS Pre Post Leading Operator - Overall UMTS Pre – Post NBH KPIs (5 Working Days Average) Significant Improvement is observed in all five KPIs 1840 1860 1880 1900 1920 1940 1960 1980 2000 2020 Pre Post HS Throughput Kbps
  • 37.
    Strictly Confidential 37 CaseStudy – Parametric Optimization (GSM) Leading Operator - Overall GSM Pre – Post NBH KPIs (5 Working Days Average) The overall improvement in TCH Drop is 33%. Downlink Quality performance has also Improved and Bad Quality Samples reduced by 17% 96.50 97.00 97.50 98.00 98.50 99.00 99.50 Call Comple on Rate HOSR Good DL Rxqual% Good UL Rxqual% 98.95 97.44 97.29 97.71 99.30 97.80 97.75 97.81 Pre Post 0.50 0.60 0.70 0.80 0.90 1.00 1.10 1.20 Average of TCH Drop Average of SD Drop 1.05 1.11 0.70 1.07 Pre Post • Frequency Fine Tuning • Optimization of ARFCN Assignment on BCCH & TCH Layers on 10% of the Cells • Cell & Per Neighbor Level Parameters Tuning • Dual Band Layers – Traffic Balancing • Handover Performance • Handover Trigger Thresholds • Cell Coverage Shaping – Tuning Offsets • Per Neighbor Relation Thresholds Setting • QoS Enhancement Features • Activation of Features e.g. PS DL Power Control • Repeated SAACH/FAACH Performance Optimization Areas • Resource Utilization • Maximization & Optimum Usage of RF Network Resources • CAPEX & OPEX Reduction • Key Performance Indicators • Significant Performance Gains in following KPIs: • Drop Call Rate • Handover Success Rate • TCH Assignment Success Rate • Good Voice Quality Samples • Customer Experience • Marked Improvement in KQIs Gains • Based on Live Network Performance Statistics & Traffic Recordings • Modeling the Performance at different Levels • Per Cell • Dual Band Layers • BCCH; TCH 900 & TCH 1800 • Per Neighbor Relation • Performance Data Capture Duration • Performance Raw Statistics – 7 to 14 Days • Traffic / Trace Recordings – 3 to 5 Days Core Optimization Concept Summary - QoS NBH
  • 38.
    Case Study 2– Parametric Optimization (GSM) Summary - QoS NBH & BBH ✓ Project Delivered for a Tier-1 Operator ✓ Network Size- 4000+ Sites ✓ Site Configuration- 900M & 900+1800M ✓ 3 Cycles of AFP and Automatic Parameter Optimization Using MaxCell were Performed ✓ Significant Improvement Achieved in all Major KPIs, NQI and Customer Complaints ✓ Project Highlights: ✓ 28% Improvement in DLQ ✓ 21% Improvement in DCR ✓ 37% Improvement in Cells Meeting All KPIs Defaulter Cells in BBH
  • 39.
    Case Study 2– Parametric Optimization (GSM) Summary- NQI & Customer Complaints ✓ Project Highlights: ✓ Significant Improvement in Voice & Data NQI ✓ 142% Jump in Voice NQI ✓ 37% Improvement in Cells Meeting All KPIs ✓ 42% Jump in Overall NQI ✓ 54% Reduction in Customer Complaints Due to Radio Issues
  • 40.
    40 Case Study –Spectrum Refarming Summary- QoS ✓ Project Delivered for a Tier-1 Operator ✓ Refarming- 5MHz Spectrum Carved from 1800MHz ✓ Network Size- 4500+ Sites ✓ Site Configuration- 900M & 900+1800M ✓ Even after Spectrum Reduction Major KPIs Were Restored to Previous Level. In Few KPIs Improvement was Achieved ✓ Project Highlights: ✓ 5MHz Spectrum Carved from GSM for LTE Deployment Without Impacting GSM Network’s Existing QoS ✓ Significant Improvement Achieved in SD Drop Rate- 12%
  • 41.
    Case Study –AFP Summary- QoS ✓ Project Delivered for a Tier-1 Operator ✓ Network Size- 5700+ Sites ✓ Site Configuration- 900M, 1800M & 900+1800M ✓ Significant Improvement Achieved in all Major KPIs ✓ Project Highlights: ✓ 75%+ Defaulting Cells Shown Improvement- DLQ and ULQ ✓ 35%+ Reduction in Defaulters DLQ ✓ 28%+ Reduction in Defaulters ULQ Defaulter Cells in BBH
  • 42.
    Case Study –AFP Strictly Confidential 42 Significant improvement in Pre AFP DLQ Defaulter Cells ▪ More than 80% defaulter Cells have shown improvement Post AFP ▪ More than 35% reduction in defaulter Cells count Post AFP Improvement in defaulter cells in DL RxQual
  • 43.
    Strictly Confidential 43 Improvement indefaulter cells in UL RxQual Significant improvement in Pre AFP ULQ Defaulter Cells ▪ More than 79% defaulter Cells have shown improvement Post AFP ▪ More than 28% reduction in defaulter Cells count Post AFP Case Study – AFP
  • 44.
    KPI Name Pre(NBH) Post (NBH) Improvement (%) TCH Drop Rate 0.91 0.7 23.08 SD Drop Rate 0.52 0.41 21.15 HO Failure Rate 2.03 1.81 10.84 TCH Assignment Failure Rate 0.5 0.41 18.00 RxQual DL – Bad (6&7) 2.98 2.16 27.52 RxQual UL – Bad (6&7) 2.32 2.05 11.64 Call Setup Failure Rate 0.81 0.68 16.05 (A) Tier 1 Operator, Asia Network Size: GSM 8000 Cells Scope of Work: Automatic Frequency Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, QoS related Features & Functionality enabling/fine-tuning, Core Network troubleshooting, Transport Network troubleshooting. Duration: 16 weeks KPIs Improved: Summary of Few Recent Projects
  • 45.
    (B) Tier 1Operator, Asia KPI Name Pre (NBH) Post (NBH) Improvement (%) RRC Setup Failure Rate CS 0.68 0.52 23.53 RRC Setup Failure Rate PS 1.44 1.29 10.42 Soft HO Failure Rate 3.62 2.45 32.32 RAB Dropped Call Rate CS 0.79 0.6 24.05 RAB Dropped Call Rate PS 2.25 1.9 15.56 Data Throughput – DL (Mbps) 18.51 20.13 8.75 Network Size: UMTS 10000 Cells Scope of Work: Automatic PSC Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, Antenna Physical Parameter Optimization Duration: 18 weeks KPIs Improved:
  • 46.
    (C) Tier 1Operator, Africa KPI Name Pre (NBH) Post (NBH) Improvement RRC Establishment Fail Rate 0.75% 0.67% 10.66% e-RAB Drop Rate 1.40% 1.10% 21.42% Handover Failure Rate 2.95% 2.25% 23.72% Maximum Cell DL PDCP Throughput 33 Mbps 41 Mbps 24.24% Maximum Cell UL PDCP Throughput 9.5 Mbps 10.45 Mbps 10.55% Network Size: LTE 3500 Cells Scope of Work: Automatic PCI Planning, Automatic Neighbour Planning, Overshooting Cell Correction, Swapped Sector Correction, Cell Database Parameter Optimization, Antenna Physical Parameter Optimization Duration: 12 weeks KPIs Improved:
  • 47.
    Fracton Technologies 47 Authorized PartnerAuthorizedPartner Authorized Partner: Email: bleivik@tarec-in.com Web: www.tarec-in.com