1) The document describes key performance indicators (KPIs) for measuring the performance of an LTE radio network. It discusses KPIs related to accessibility, retainability, mobility, and latency.
2) Accessibility KPIs measure aspects like call setup success rate, RRC setup success rate, and E-RAB setup success rate. Retainability KPIs measure call drop rate and call setup completion rate. Mobility KPIs measure handover success rates within LTE and between LTE and other technologies.
3) For each KPI, the document provides a definition, calculation formula, and description of which network events and counters are needed to measure the KPI. Baseline
In this paper, we discussed about LTE system throughput calculation for both TDD and FDD system.
3GPP LTE technology support both TDD and FDD multiplexing. The paper describes all the factors which affect the throughput like Bandwidth, Modulation, UE category and mulplexing. It also describes how we get throughput 300Mbps in DL and 75Mbps in UL and what are assumptions taken to calculate the same.
Paper describes the steps and formulae to calculate the throughput for FDD system for TDD Config 1 and Config 2.
The throughput calculations shown in this paper is theoretical and limited by the assumptions taken to calculate for calculations
An introduction to Cellular communications Signaling, Specifically LTE Signaling.
Introducing 3GPP approach to handover and handoff mechanisms.
LTE architecture by alcatel-lucent included in this presentation.
This presentation focuses on mobility management protocols such as GTP-C and GTP-U.
It is a handbook of UMTS/WCDMA call flows for Handovers.
This document is originally edited by Justin MA and it is free to share to everyone who are interested.
All reference/resource are from internet. If there is any copy-right issue, please kindly inform Justin by majachang@gmail.com.
Thanks for your reading!
In this paper, we discussed about LTE system throughput calculation for both TDD and FDD system.
3GPP LTE technology support both TDD and FDD multiplexing. The paper describes all the factors which affect the throughput like Bandwidth, Modulation, UE category and mulplexing. It also describes how we get throughput 300Mbps in DL and 75Mbps in UL and what are assumptions taken to calculate the same.
Paper describes the steps and formulae to calculate the throughput for FDD system for TDD Config 1 and Config 2.
The throughput calculations shown in this paper is theoretical and limited by the assumptions taken to calculate for calculations
An introduction to Cellular communications Signaling, Specifically LTE Signaling.
Introducing 3GPP approach to handover and handoff mechanisms.
LTE architecture by alcatel-lucent included in this presentation.
This presentation focuses on mobility management protocols such as GTP-C and GTP-U.
It is a handbook of UMTS/WCDMA call flows for Handovers.
This document is originally edited by Justin MA and it is free to share to everyone who are interested.
All reference/resource are from internet. If there is any copy-right issue, please kindly inform Justin by majachang@gmail.com.
Thanks for your reading!
In the age of Cellular Mobile technology telecom industries are growing very fast due to its demand, every year large number of users are using the mobile Phones this forces companies to provide the coverage to there customers in a very discipline manner ,In order to provide the coverage companies have competition to install new cell site, now a days we can see new cell sites around us ,you can see large number of towers are installed on the building, due to this a net of towers are created around us , these tower are highly radiative which are radiating the EMF(Electromagnetic Magnetic Field wave), At some range it is harmful for the human body .In this competitions companies are neglecting the rules and regulation of the TRAI(Telecom Regularity Authority of India ),which causes harmful effect to the human being .TRAI have some set of rules on basis of which companies have to installed the tower, and the transmission from the tower should have a specifics range of EIRP(Effective Isotropic Radiated Power).Government is responsible to check the EIRP ,for this government asked companies to provide the report to the TRAI .The survey perform by the companies to provide this report to the TRAI is called EMF Survey (Electromagnetic Field Survey).EMF Survey is perform to check the value of EIRP across the BSS.
We are going to cover complete list of VoLTE IMS KPI and performance Indicators . This includes :-
VoLTE IMS Control Plane KPI
- RSR : Registration Success Ratio (%)
- CSSR : Call Setup Success Rate (%)
- CST : Call Setup Time (s)
- MHT/ACD : Average Call duration (s)
VoLTE IMS User Plane KPI
- Mute Rate (%)
- MOS Score (1-5)
- RTP Packet Loss (%)
- One Way Calls (%)
Packet Core 4G Network LTE KPI
- Volte Attach Success Rate (%)
- VoLTE QCI=5 Paging Success Rate (%)
- Dedicated Bearer Activation Success Rate (%)
- IMS IP POOL Utilization (%)
- Create Bearer Success Rate (%)
Radio VoLTE KPI
- Call Drop rate (%)
- SRVCC Success Rate (%)
- Handover SR (%)
We are going to cover complete list of VoLTE IMS KPI and performance Indicators . This includes :-
VoLTE IMS Control Plane KPI
- RSR : Registration Success Ratio (%)
- CSSR : Call Setup Success Rate (%)
- CST : Call Setup Time (s)
- MHT/ACD : Average Call duration (s)
VoLTE IMS User Plane KPI
- Mute Rate (%)
- MOS Score (1-5)
- RTP Packet Loss (%)
- One Way Calls (%)
Packet Core 4G Network LTE KPI
- Volte Attach Success Rate (%)
- VoLTE QCI=5 Paging Success Rate (%)
- Dedicated Bearer Activation Success Rate (%)
- IMS IP POOL Utilization (%)
- Create Bearer Success Rate (%)
Radio VoLTE KPI
- Call Drop rate (%)
- SRVCC Success Rate (%)
- Handover SR (%)
Michael Monaghan - Evolution of New Feature Verification in 3G NetworksTEST Huddle
EuroSTAR Software Testing Conference 2009 presentation on Evolution of New Feature Verification in 3G Networks by Michael Monaghan. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
To meet customers' requirements for high-quality networks, LTE trial networks must be optimized during and after project implementation. Radio frequency (RF) optimization is necessary in the entire optimization process. This document provides guidelines on network optimization for network planning and optimization personnel.
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
LTE
LTE Introduction
LTE Fundamental
LTE RNP Introduction
LTE Principles (Huawei eRAN 3.0)
LTE Access Fault Diagnosis
LTE Access Transport Network Dimensioning
LTE Air Interface ISSUE 1.05
LTE Cell Planning ISSUE1.10
LTE eRAN 3.0 Scheduling - Feature Parameter Description
LTE eRAN3.0 Idle Mode Behavior
LTE eRAN3.0 KPI Introduction
LTE eRAN3.0 - Mobility Management in Connected Mode - Feature Parameters Description
LTE Handover Fault Diagnosis
LTE Network Tuning ISSUE 1.00
LTE Protocols and Procedure
LTE Radio Network Capacity Dimensioning
LTE Radio Network Coverage Dimensioning
LTE Radio Resource Management Overview
LTE Scheduling
LTE (Eicsson)
01.LTE SAE System Overview
LTE 10A Air Interface
LTE L10A Access Transport Network
LTE L10A Radio Network Design
LTE L12 Initial Tuning
LTE L14 Radio Network Functionality LTE
LTE Protocols and Procedures
LTE System Techniques
LTE Throughput Troubleshooting Techniques
LTE Radio Access Radio Interface Dimensioning and Planning
MIMO in WCDMA and LTE
LTE L14 Radio Network Functionality LTE
LTE Huawei
LTE System Overview
LTE Air Interface
LTE Protocols and Signaling Procedures
LTE Network Performance Management (KPIs)
LTE Radio Network Coverage Dimensioning
LTE Cell Planning
LTE Access Fault Diagnosis
LTE Handover Fault Diagnosis
LTE Call Drop Diagnosis
LTE Traffic Fault Diagnosis
LTE Interference Troubleshooting Guide
LTE Optimization
LTE Troubleshooting Access Failures
Features 1. Idle Mode
Features 2. Intra Rat Handover
Features 3. Power Control
Features 4. Scheduling
Features 5. CS Fallback
Features 6. Physical Channel Resource Management
HedEx for LTE
eRAN_eRAN13.0_02_en_GEG09124
5G
5G System Design (Wiley)
HedEx for 5G
(For Engineer) 5G RAN2.0 Solution Technical Guideline
Hello my friends
Unfortunately, if you want any of these files, please contact me by email and mention any reference you find, to give it to you.
My email: molham.shoriss@outlook.com
This presentation illustrates a solution for rapid deployment and validation of VoLTE services in the NFV ecosystem. It uses Juju as the deployment tool and ABot as Test Orchestration solution to achieve this objective.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. 4G LTE - RF Optimization Objects and Target Baseline | Page 2
KPI System Overview
LTE KPIs
Accessability Retainability IntegrityMobility Latency
• RRC
SETUP SR
• ERAB
Setup SR
(VoIP/ALL)
• Call Setup
SR
(VoIP/ALL)
• Call Drop
Rate
(VoIP/ALL)
• Call Setup
Complete
Rate
(VoIP/ALL)
• Service
UL/DL
Throughput
• HHO SR
( Intra/Inter
Frequency)
• HO in SR
• Inter-RAT
HHO SR
• Access
Latency
• Service
Latency
• Interrupt
Latency
• Radio
Network
Unavailabil
ity Rate
Availability
• Cell UL/DL
Traffic
Volume
• Radio
Bearer
Number
Utilization
Radio Network KPI :
Focus on the radio network performance
Service KPI :
Focus on the user experience
• UL/DL
RB
Utility
Rate
Traffic
3. 4G LTE - RF Optimization Objects and Target Baseline | Page 3
Accessibility (1) – RRC Setup Success Rate
RRC Setup Success Rate (service)
The RRC setup procedure is trigged by different reasons as identified by the establishmentCause field in
the RRCConnctionRequest message: emergency, highPriorityAccess, mt-Access, mo-Signalling, mo-Data,
delayTolerantAccess-v1020.
The UE sets the establishmentCause and received by eNodeB. Causes except mo-Signalling are
categorized as service related ones, and the cause of mo-Signalling is categorized as signal related ones.
This KPI evaluates the RRC setup success rate with service related causes in a cell or cluster.
%100
_
_
_ Service
service
service
AttemptConnectionRRC
SuccessConnectionRRC
SSRRRC
RRC Setup Success Rate (Signal)
This KPI evaluates the RRC setup success rate with signal related
causes (mo-Signalling) in a cell or cluster.
%100
_
_
_ Signal
Signal
Signal
AttemptConnectionRRC
SuccessConnectionRRC
SSRRRC
4. 4G LTE - RF Optimization Objects and Target Baseline | Page 4
Accessibility (2) – Counter Mapping for RRC SSR
L.RRC.ConnReq.Att…
L.RRC.ConnReq.Succ …
5. 4G LTE - RF Optimization Objects and Target Baseline | Page 5
Accessibility (3) – QCI Definition
LTE-SAE QoS Class Identifier
There are 9 QCIs defined in 3GPP TS 23.203. Each of QCI has its QoS requirements, and each E-RAB will
has the attribute of QCI.
6. 4G LTE - RF Optimization Objects and Target Baseline | Page 6
Accessibility (4) – ERAB Setup Success Rate
VoIP ERAB Setup Success Rate
This KPI can be used to evaluate the ERAB setup success
rate of VoIP service (QCI 1 service) in a cell or cluster.
_ _
_ _ 100%
_ _
VoIP ERAB SetupSuccess
VoIP ERAB SSR
VoIP ERAB SetupAttempt
ERAB Setup Success Rate (All)
This KPI can be used to evaluate the ERAB setup success
rate of all services including the VoIP service in a cell or
a cluster.
_
_ ( ) 100%
_
ERAB SetupSuccess
ERAB SSR ALL
ERAB SetupAttempt
8. 4G LTE - RF Optimization Objects and Target Baseline | Page 8
Accessibility (6) – Call Setup Success Rate
_ 1 _
( ) * * 100%
_ 1 _
Service
Service
RRC ConnectionSuccess S SIGConnectionEstablishSuccess ERAB SetupSuccess
CSSR ALL
RRC ConnectionAttempt S SIGConnectionEstablishAttempt ERAB SetupAttempt
VoIP Call Setup Success Rate (VoIP CSSR)
This KPI evaluates the success rate of the whole setup procedure for VoIP service (QCI 1
service) in a cell or cluster, which mainly includes three phases : RRC setup phase, S1
Signaling connection establishment phase and VoIP E-RAB setup phase:
_ 1 _ _
_ * * 100%
_ 1 _ _
Service
Service
RRC ConnectionSuccess S SIGConnectionEstablishSuccess VoIP ERAB SetupSuccess
VoIP CSSR
RRC ConnectionAttempt S SIGConnectionEstablishAttempt VoIP ERAB SetupAttempt
Call Setup Success Rate (ALL)
This KPI can be used to evaluate the call setup success rate of all services including the VoIP
service in a cell or a cluster. This KPI mainly includes three phases : RRC setup phase, S1 Signaling
connection establishment phase and service E-RAB setup phase:
9. 4G LTE - RF Optimization Objects and Target Baseline | Page 9
Accessibility (7) – Counter Mapping for CSSR
10. 4G LTE - RF Optimization Objects and Target Baseline | Page 10
Retainability (1) – Call Drop Rate
VoIP Call Drop Rate
This KPI can be used to evaluate the call drop rate of VoIP service (QCI 1 service) in a cell or cluster, the call drops
happen when eNode initiate active ERAB (with data in buffer) release process by E-RAB Release Indication or UE
Context Release Request message with Cause field with abnormal reasons (the cause other than : Normal Release,
Detach,User Inactivity, cs fallback triggered, UE Not Available For PS Service,or Inter-RAT redirection), and all of the
other E-RAB releases are consider as normal E-RAB release.
Call Drop Rate(ALL)
This KPI can be used to evaluate the call drop rate of all services in
a cell or a cluster, including VoIP service.
%100
Re__
Re__
_
leaseERABVoIP
leaseAbnormalERABVoIP
CDRVoIP
_ Re
( ) 100%
_ Re
ERAB Abnormal lease
CDR ALL
ERAB lease
Call Drop Rate(Always Online)
This KPI can be used to evaluate the call drop rate of all the services, including the VoIP services, when the always
online state is active. In always online state, the E-RAB number of UE entering the un-synchronous state from
synchronous state will be considered for the KPI calculating.
_ 100%
Re
ERABAbnormalReleaseOfAlwaysOnline
AlwaysOnline CDR
ERAB leaseOfAlwaysOnline
11. 4G LTE - RF Optimization Objects and Target Baseline | Page 11
Retainability (2) – Counter Mapping for Call Drop Rate
Normal and Abnormal
release Counters based on
the cause
Normal and Abnormal
release Counters based on
the cause
12. 4G LTE - RF Optimization Objects and Target Baseline | Page 12
Retainability (3) - Call Setup Complete Rate
_ 1 _ _ Re
( ) * * * 100%
_ 1 _ _ Re
Service
Service
RRC ConnectionSuccess S SIGConnectionEstablishSuccess ERAB SetupSuccess ERAB Normal lease
CSTR ALL
RRC ConnectionAttempt S SIGConnectionEstablishAttempt ERAB SetupAttempt ERAB lease
_ 1 _ _ _ _ Re
_ * * *
_ 1 _ _
Service
Service
RRC ConnectionSuccess S SIGConnectionEstablishSuccess VoIP ERAB SetupSuccess VoIP ERAB Normal lease
VoIP CSTR
RRC ConnectionAttempt S SIGConnectionEstablishAttempt VoIP ERAB SetupAttempt Vo
100%
_ _ ReIP ERAB lease
VoIP Call Setup Complete Rate (VoIP CSTR)
This KPI evaluates the call Setup Complete Rate for VoIP service (QCI 1 service) in a cell or cluster,
which means the rate of the VoIP service can be normally terminated once user do the attempt to
setup the service. And it can include 4 phases: RRC setup phase, S1 Signaling connection
establishment phase, VoIP E-RAB setup phase and VoIP service E-RAB release phase;
Call Setup Complete Rate (ALL)
The similar as upper KPI, this KPI will evaluate the success rate in totally for 4 phases: RRC setup phase,
S1 Signaling connection establishment phase, service E-RAB setup phase and service E-RAB release
phase;
Call Setup Complete Rate (Always Online)
The similar as upper KPI, this KPI will evaluate the success rate in totally for 4 phases: RRC setup phase,
S1 Signaling connection establishment phase, service E-RAB setup phase and service E-RAB release
phase (when the always online state is active);
_ 1 _
( ) * * *
_ 1 _
Service
Service
RRC ConnectionSuccess S SIGConnectionEstablishSuccess ERAB SetupSuccess ERABAbnormalReleaseOfAlway
CSTR AlwaysOnline
RRC ConnectionAttempt S SIGConnectionEstablishAttempt ERAB SetupAttempt
100%
Re
sOnline
ERAB leaseOfAlwaysOnline
13. 4G LTE - RF Optimization Objects and Target Baseline | Page 13
Retainability (4) - Counter Mapping for CSCR
14. 4G LTE - RF Optimization Objects and Target Baseline | Page 14
Mobility (1) – Intra-LTE Handover (Out) Success Rate
Intra-frequency Handover Out Success Rate
This KPI can be used to evaluate the intra-frequency handover
out success rate in a cell or cluster.
%100
_
_
__
ptHOOutAttemIntraF
ssHOOutSucceIntraF
SRHOOutIntraF
Inter-frequency Handover Out Success Rate
This KPI can be used to evaluate the inter-frequency handover
out success rate in a cell or cluster.
%100
_
_
__
ptHOOutAttemInterF
ssHOOutSucceInterF
SRHOOutInterF
15. 4G LTE - RF Optimization Objects and Target Baseline | Page 15
Mobility (2) – Counter Mapping for Intra-LTE HO SR
Handover Attempt Counters
Handover Success Counters
16. 4G LTE - RF Optimization Objects and Target Baseline | Page 16
Mobility (3) - Intra-LTE Handover In Success Rate
Handover In Success Rate
This KPI can be used to evaluate the handover in success
rate in a cell or cluster.
%100_
tHOInAttemp
sHOInSucces
SRHOIn
17. 4G LTE - RF Optimization Objects and Target Baseline | Page 17
Mobility (4) - Counter Mapping for Intra-LTE HO In SR
HO in Attempt Counters
HO in Success Counters
18. 4G LTE - RF Optimization Objects and Target Baseline | Page 18
Mobility (5) – Inter-RAT Handover Success Rate
%100
_2_
_2_
_2_
AttemptOutGLIRATHO
SuccessOutGLIRATHO
SRGLIRATHO out
Inter-RAT Handover Success Rate (LTE to WCDMA)
This KPI can be used to evaluate the inter-RAT handover success rate
from LTE to WCDMA in a cluster.
%100
_2_
_2_
_2_
AttemptOutWLIRATHO
SuccessOutWLIRATHO
SRWLIRATHO out
Inter-RAT Handover Success Rate (LTE to GERAN)
This KPI can be used to evaluate the inter-RAT handover success rate from LTE to GERAN in a cluster.
19. 4G LTE - RF Optimization Objects and Target Baseline | Page 19
Mobility (6) – Inter-RAT Handover Success Rate
Inter-RAT Handover Success Rate (LTE to CDMA2000)
This KPI can be used to evaluate the inter-RAT handover success rate from
LTE to CDMA2000 in a cluster.
_ 2 _
_ 2 _ 100%
_ 2 _
out
IRATHO L C SuccessOut
IRATHO L C SR
IRATHO L C AttemptOut
20. 4G LTE - RF Optimization Objects and Target Baseline | Page 20
Mobility (7) – Counter Mapping for Inter-RAT HO SR
B point , HO attempt, and
distinguish the target system by an
element “targetRAT-Type ” in the
message
C point, HO
Success