The document discusses self-organizing networks (SON). It defines SON as an automation technology to simplify network management. SON has three main areas: self-configuration, self-optimization, and self-healing. Self-configuration allows for automatic configuration of new base stations. Self-optimization continually adjusts network parameters to optimize coverage, capacity, and interference. Self-healing enables automatic detection and resolution of faults to temporarily work around problems until permanent solutions are implemented. The benefits of SON include reduced costs, improved network performance and user experience, and more optimized use of resources.
Ericsson’s Thin Layer GSM offers superior performance with minimum resources and lowest OPEX.
http://www.ericsson.com/ourportfolio/telecom-operators/gsm-thin-layer
Simplified Call Flow Signaling: Registration - The Attach Procedure3G4G
This presentation/video provides an example of the registration procedure. The device or UE needs to let the core network(s) know that it is switched on and active. This procedure is known as registration. The UE can register individually to the CS and PS core networks. Most modern networks allow combined registration (or combined attach) whereby the UE registers only to the PS network and the PS network informs the CS network that the UE is active.
What LTE Parameters need to be Dimensioned and OptimizedHoracio Guillen
How to Dimension user Traffic in 4G networks
What is the best LTE Configuration
Spectrum analysis for LTE System
MIMO: What is real, What is Wishful thinking
LTE Measurements what they mean and how they are used
How to consider Overhead in LTE Dimensioning and What is the impact
How to take into account customer experience when Designing a Wireless Network
3GPP SON Series: Minimization of Drive Testing (MDT)3G4G
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we will look at a very important feature called Minimization of Drive Testing (MDT)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
SON Page: https://www.3g4g.co.uk/SON/
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
Ericsson’s Thin Layer GSM offers superior performance with minimum resources and lowest OPEX.
http://www.ericsson.com/ourportfolio/telecom-operators/gsm-thin-layer
Simplified Call Flow Signaling: Registration - The Attach Procedure3G4G
This presentation/video provides an example of the registration procedure. The device or UE needs to let the core network(s) know that it is switched on and active. This procedure is known as registration. The UE can register individually to the CS and PS core networks. Most modern networks allow combined registration (or combined attach) whereby the UE registers only to the PS network and the PS network informs the CS network that the UE is active.
What LTE Parameters need to be Dimensioned and OptimizedHoracio Guillen
How to Dimension user Traffic in 4G networks
What is the best LTE Configuration
Spectrum analysis for LTE System
MIMO: What is real, What is Wishful thinking
LTE Measurements what they mean and how they are used
How to consider Overhead in LTE Dimensioning and What is the impact
How to take into account customer experience when Designing a Wireless Network
3GPP SON Series: Minimization of Drive Testing (MDT)3G4G
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we will look at a very important feature called Minimization of Drive Testing (MDT)
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
SON Page: https://www.3g4g.co.uk/SON/
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
3GPP SON Series: Mobility Load Balancing (MLB)3G4G
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we discuss the load balancing feature that was introduced as part of 3GPP Release-8 LTE. We also look at the enhancements in Release-9 and then the extension of this procedure to GSM (2G) and UMTS (3G) as part of Release-10.
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
SON Page: https://www.3g4g.co.uk/SON/
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
It is a handbook of UMTS/LTE/EPC CSFB call flows.
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!
Pci mod3,6,30 analysis and auto optimizationShuangquan Lei
This presentation introduce a network optimization platform, and with this application, system will support you to find 4G LTE cells which have PCI MOD(3), MOD(6) and MOD(30) collision, and then can generate candidate value list by big data analysis.
Please send email to me if this application can make your work more effective.
my email address: lei.shuangquan@gmail.com
SGSN- serving gprs support node - Platform - HW, SW and CLI Mustafa Golam
This presentations contains introductory to Intermediate topics on Ericsson MKVI SGSNs with great details on HW, SW and platform specific CLI. This can be relevant for Introductory to Advance level of knowledge in SGSN.
Small Cells & the Enterprise: Release 2 by Gordon Mansfield SC Americas 13Small Cell Forum
Presentation to launch Release 2: Enterprise at Small Cells Americas in Dallas, December 2013. Slides delivered to open the conference by Gordon Mansfield, AVP Small Cell Solutions at AT&T and Chair of the Small Cell Forum.
3GPP SON Series: Mobility Load Balancing (MLB)3G4G
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we discuss the load balancing feature that was introduced as part of 3GPP Release-8 LTE. We also look at the enhancements in Release-9 and then the extension of this procedure to GSM (2G) and UMTS (3G) as part of Release-10.
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
SON Page: https://www.3g4g.co.uk/SON/
Beginners: 5G Terminology (Updated - Feb 2019)3G4G
An updated short presentation and video looking at 5G terminology that is being used in 3GPP standards and specifications.
Terms such as NG-RAN, NR, ng-eNB, en-gNB, RIT, SRIT, Option 3, etc. will be discussed
It is a handbook of UMTS/LTE/EPC CSFB call flows.
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!
Pci mod3,6,30 analysis and auto optimizationShuangquan Lei
This presentation introduce a network optimization platform, and with this application, system will support you to find 4G LTE cells which have PCI MOD(3), MOD(6) and MOD(30) collision, and then can generate candidate value list by big data analysis.
Please send email to me if this application can make your work more effective.
my email address: lei.shuangquan@gmail.com
SGSN- serving gprs support node - Platform - HW, SW and CLI Mustafa Golam
This presentations contains introductory to Intermediate topics on Ericsson MKVI SGSNs with great details on HW, SW and platform specific CLI. This can be relevant for Introductory to Advance level of knowledge in SGSN.
Small Cells & the Enterprise: Release 2 by Gordon Mansfield SC Americas 13Small Cell Forum
Presentation to launch Release 2: Enterprise at Small Cells Americas in Dallas, December 2013. Slides delivered to open the conference by Gordon Mansfield, AVP Small Cell Solutions at AT&T and Chair of the Small Cell Forum.
Overview of SCTP (Stream Control Transmission Protocol)Peter R. Egli
Overview of SCTP (Stream Control Transmission Protocol), outlining the main features and capabilities of SCTP.
SCTP is a transport protocol that overcomes many of the shortcomings of TCP, namely head-of-line blocking and stream-oriented transmission.
SCTP supports multiple streams within a connection and preserves boundaries of application messages thus greatly simplifying communication.
Additionally, SCTP supports multi-homing which increases availability in applications with high reliability demands.
SCTP inherits much of the congestion, flow and error control mechanisms of TCP.
SCTP has its roots in telecom carrier networks for use in transitional voice over IP scenarios.
However, SCTP is generic so that it is applicable in many enterprise applications as well.
Networking is a term that subsumes various technologies and protocols for transferring data from one place to another by means of a transmission network.
While every technology like TCP/IP, Ethernet, SDH, GSM, VSAT etc. has its own zoo of terms and acronyms, there are more fundamental concepts and terms common to the different technologies and protocols.
The goal of this document is to explain the gist of the these more common networking terms and concepts. These explanations complement typical glossaries with illustrations.
Overview of IP routing protocols, packet forwarding and proxy ARP.
The principle of IP routing proved to be very flexible and scalable in the growth of the Internet and TCP/IP based networks.
IP routing denotes protocols for exchanging IP address range reachability like RIP, BGP and OSPF.
In contrast to IP routing, IP packet forwarding collectively means all functions performed when an IP router receives a packet and forwards it over the output interface indicated by an IP route in the routing table.
When an IP router performs a route lookup, it calculates a route decision based on different properties like prefix (mask) length, route precedence and metrics.
Routing protocols for exchanging route information can be coarsely classified as distance vector and link state protocols. Distance vector protocols like RIP (Routing Information Protocol) exchange information about the path cost to specific targets (IP address ranges). Routers that talk distance vector protocols receive reachability information about all sub-networks indirectly from neighboring routers.
In contrast to distance vector protocols, link state protocols like OSPF disseminate information about the link state of each router link in a network to all routers in the network. Thus link state protocols tend to converge faster to topology changes since all routers have firsthand information of the topology of the network.
Proxy ARP may be a convenient solution when it comes to add additional subnets without having to add routes to routers and hosts. A proxy ARP enabled router would answer ARP requests on behalf of the targeted hosts mimicking a local network access to the requesting host.
Overview of transport protocols.
The transport layer (OSI layer 4) is the interface between the network and application (network API).
The transport layer provides data transport service and some level of quality of service (QoS) to the application.
While all transport protocols offer data transport services, they have varying levels of quality of service in terms of error detection and correction, packet ordering and packet delay.
Simple transport protocols like UDP are often connectionless while connection-oriented transport protocols like TCP provide many quality of service properties.
Abstract— Self-Organizing Networks (SON) is a collection of functions to the radio and network components to interact among
themselves to configure, tune, optimize and healing of cellular system in real time. It is considered to be a necessity in future mobile
networks and operations, due to the increased cost pressure and minimizing trend of human intervention. This paper describes scope,
architecture of reference model, evaluations on the use of some of the most important SON components. We also included the application
of a revolutionary algorithm; genetic algorithm. The application of this algorithm in telecommunication network optimization has presented
and shown with the effective choice of some important parameter values involved in optimization and the implementation strategies.
Nowadays mobile networks are getting more complex to configure, optimize and maintain. SON functions will perform to give cost savings
and performance benefits from the very beginning of a network deployment to its life-cycle.
MODELING, IMPLEMENTATION AND PERFORMANCE ANALYSIS OF MOBILITY LOAD BALANCING ...IJCNCJournal
We propose in this paper a simulation implementation of Self-Organizing Networks (SON) optimization
related to mobility load balancing (MLB) for LTE systems using ns-3 [1]. The implementation is achieved
toward two MLB algorithms dynamically adjusting handover (HO) parameters based on the Reference
Signal Received Power (RSRP) measurements. Such adjustments are done with respect to loads of both an
overloaded cell and its cells’ neighbours having enough available resources enabling to achieve load
balancing. Numerical investigations through selected key performance indicators (KPIs) of the proposed
MLB algorithms when compared with another HO algorithm (already implemented in ns-3) based on A3
event [2] highlight the significant MLB gains provided in terms global network throughput, packet loss rate
and the number of successful HO without incurring significant overhead.
Ericsson Review: The benefits of self-organizing backhaul networksEricsson
The concept of self-organizing backhaul networks is not yet as widespread as the concept of SON in the context of radio-access networks. There are, however, ways in which backhaul networks can benefit from SON technology to delay investment in new architecture.
Machine Learning Based Session Drop Prediction in LTE Networks and its SON As...Ericsson
Abnormal bearer session release (i.e. bearer session drop) in cellular telecommunication networks may seriously impact the quality of experience of mobile users. The latest mobile technologies enable high granularity real-time reporting of all conditions of individual sessions, which gives rise to use data analytics methods to process and monetize this data for network optimization. One such example for analytics is Machine Learning (ML) to predict session drops well before the end of session.
TECHNIQUES FOR OFFLOADING LTE EVOLVED PACKET CORE TRAFFIC USING OPENFLOW: A C...IJCNCJournal
Cellular users of today have an insatiable appetite for bandwidth and data. Data-intensive applications, such as video on demand, online gaming and video conferencing, have gained prominence. This, coupled with recent innovations in the mobile network such as LTE/4G, poses a unique challenge to network
operators in how to extract the most value from their deployments while reducing their Total Cost of Operations(TCO). To this end, a number of enhancements have been proposed to the “conventional” LTE mobile network. Most of these recognize the monolithic and non-elastic nature of the mobile backend and propose complimenting core functionality with concepts borrowed from Software Defined Networking
(SDN). In this paper, we will attempt to explore some existing options within the LTE standard to address traffic challenges. We then survey some SDN-enabled alternatives and comment on their merits and drawbacks.
The full form of EEE is electrical and electronics engineering. Within this day, most of the students showed plenty of interest to hitch a ride on the EEE branch to end their project in III years and thus the IV year. Many of the students plan to do innovative projects which are helpful in real-time.
https://takeoffprojects.com/eee-projects
We are providing you with some of the greatest ideas for building Final Year projects with proper guidance and assistance.
Load aware self organising user-centric dynamic co mp clustering for 5g networksredpel dot com
Load aware self organising user-centric dynamic co mp clustering for 5g networks
for more ieee paper / full abstract / implementation , just visit www.redpel.com
Disaggregated Optical Networks: A SurveySergio Cruzes
Disaggregated optical networks allow operators to select components from different vendors, promoting neutrality.
This flexibility enables the selection of the most effective solutions. By decoupling hardware and software, disaggregated networks can reduce costs.
Operators can choose cost-effective devices and upgrade or replace them independently.
Disaggregation also facilitates the adoption of new technologies and innovations and often adheres to open standards promoting interoperability between different equipment vendors.
The YANG data modeling provides consistent abstractions of the network elements. OpenConfig and OpenROADM are two initiatives that leverage YANG data models for standardized representations of configurations and operational states in the context of optical networks.
The NETCONF protocol supports YANG data modeling and is considered the preferred one for interacting with control and management systems. As a result, YANG and NETCONF offer a common method for managing and controlling network components apart from the vendor
This paper provides a survey based on best practices employed in designing, planning, and operating a disaggregated optical network.
It also presents the general architecture of a disaggregated network including an open SDN controller based on ONOS, an open optical line controller, the Quality of transmission estimator module based on GNPy and the open orchestrator module. It is described the basic operations and workflow of a connectivity provisioning as well as the steps involved in case of connectivity restoration and routing and spectrum allocation and the related exchange of messages among the modules, I mean, the open orchestrator, the optical network controller, the optical line controller and GNPy quality of transmission estimator.
SON (Self Organizing Networks) An analysis of its benefits in the mobile domainSumitKumar3094
Mobile Telecommunications Networks over the time has grown in
complexity and has reached the stage at which automations are now
indispensable for running a modern day mobile network. Crucial areas of network
such as design, planning, and optimization need a real time automation solution.
This is why the SON technology was developed. SON is a dynamic plug and play
system of hardware and software bundle which when connected to the
telecommunications network would automatically configure, optimize and heal the
network.
As with every new technology, there is always a degree of scepticism
that comes along and it is quite important to validate its functioning before we
accept it. The aim of this project is to analyse the three key features of SON i.e.
Load Balancing / ANR on 3G network, RET feature analysis on LTE network and
GSM spectrum Management on 2G network. It is intended to implement these
features on a live network and see the overall gain in the network performance. A
critical analysis is done to see the magnitude of impact due to SON. It is also
intended to find out areas where SON did not work well and had issues with its
implementation, working and accuracy.
In this project the main functionality of SON was closely reviewed when it was
implemented in an urban cluster. The KPI gains were measured in the area of
capacity, coverage, load balancing and quality improvements. The final result not
only gauged the magnitude of performance improvement but also highlighted the
complexity and drawbacks of the SON solution.
Some remarkable improvements in the network quality were observed
especially in the 3G and 2G network but there were couple of areas where SON
had issues and had failed to achieve what expected. These were noted as
learnings and areas of future improvement.
Performance analysis of economic model and radio resource management in heter...IJCNCJournal
Radio resource management (RRM) is the system level control of co-channel interference and other radio
transmission characteristics in wireless communication systems. In this paper we first analyze a utility
function based access selection (UFAS) method. Then we investigate a radio resource management and
network selection scheme in heterogeneous wireless network. We propose an economic model to allocate
radio resources for Code Division Multiple Access (CDMA) Networks and Wireless local Area (WLAN)
networks. Moreover we formulate and solve the optimization problem in WLAN and CDMA networks and
simulate those equations using MATLAB. Simulated results show that the proposed scheme can achieve
more number of users and more social welfare which outperform the utility function based access selection
method.
3GPP SON Series: Coverage and Capacity Optimization (CCO)3G4G
This SON tutorial is part of the 3GPP Self-Organizing Networks series (#3GPPSONSeries). In this part we will look at how Coverage and Capacity Optimization (CCO) helps solve coverage issues and improves the network capacity.
All our #3G4G5G slides and videos are available at:
Videos: https://www.youtube.com/3G4G5G
Slides: https://www.slideshare.net/3G4GLtd
SON Page: https://www.3g4g.co.uk/SON/
5G Page: https://www.3g4g.co.uk/5G/
Free Training Videos: https://www.3g4g.co.uk/Training/
The important goal of this thesis is represented as demonstrating a self-organising based process for current versions of heterogeneous LTE-Advanced networks to simultaneously improve both quality of service and ability. The main index terms of this research could be exhibited as: SON; LTE-A, HetNets; Femtocell; Interference, Multi-Layer; Handover, Access Control; Power Control, eICIC. The self-organizing method of this research is described as the primary goal, to be got through the following targets: ThesisScientist.com
MOBILITY LOAD BALANCING BASED ADAPTIVE HANDOVER IN DOWNLINK LTE SELF-ORGANIZI...ijwmn
This article investigates mobility load balancing (MLB) algorithm implementation through network
simulator (ns-3) in long term evolution (LTE) systems employing orthogonal frequency division multiple
access (OFDMA) for downlink (DL) data transmission. MLB is introduced by the third generation
partnership project (3GPP) as a key target of LTE self-organizing networks (SONs) [1]. Our contribution
is twofold. First, we implemented elementary procedures (EPs) related to load management (LM) function
of the X2-application protocol (X2AP) as specified in TS 136.423 [2]. We particularly focused on EPs
’Resource Status Reporting Initiation Procedure’ and 'Resource Status Reporting Procedure’. Second, we
implemented a MLB based adaptive handover (HO) algorithm enabling to configure adaptively HO
hysteresis threshold for each neighbouring cell, of an overloaded cell, according to its current load
information. Numerical results show how, through suitable simulation scenarios, MLB enables enhancing
network performance in terms of overall throughput, packet loss ratio (PLR) and fairness without incurring
HO overhead.
MOBILITY LOAD BALANCING BASED ADAPTIVE HANDOVER IN DOWNLINK LTE SELF-ORGANIZI...ijwmn
This article investigates mobility load balancing (MLB) algorithm implementation through network
simulator (ns-3) in long term evolution (LTE) systems employing orthogonal frequency division multiple
access (OFDMA) for downlink (DL) data transmission. MLB is introduced by the third generation
partnership project (3GPP) as a key target of LTE self-organizing networks (SONs) [1]. Our contribution
is twofold. First, we implemented elementary procedures (EPs) related to load management (LM) function
of the X2-application protocol (X2AP) as specified in TS 136.423 [2]. We particularly focused on EPs
’Resource Status Reporting Initiation Procedure’ and 'Resource Status Reporting Procedure’. Second, we
implemented a MLB based adaptive handover (HO) algorithm enabling to configure adaptively HO
hysteresis threshold for each neighbouring cell, of an overloaded cell, according to its current load
information. Numerical results show how, through suitable simulation scenarios, MLB enables enhancing
network performance in terms of overall throughput, packet loss ratio (PLR) and fairness without incurring
HO overhead.
Fuzzy Based Vertical Handoff Decision Controller for Future NetworksIJAEMSJORNAL
Abstract— In Next generation wireless Networks, the received signals (RSS) from different networks do not have a same meaning since each network is composed of its specific characteristics and there is no common pilot signal. Then, RSS comparisons are insufficient for handoff decision and may be inefficient and impractical. A more complex decision criterion that combines a large number of parameters or factors such as monetary cost, bandwidth, and power consumption and user profile is necessary. Though there are a lot works available for vertical handoff decision (VHD) for wireless networks, the selection of best network is still challenging problem. In this paper we propose a Fuzzy based vertical handoff decision controller (FVHDC) Which performs handover decision based on the output of fuzzy based rules.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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Telecom self organizing network
1. Student Name:- Pankaj Chomal
Subject:- COTN
SYMBIOSI INSTITUTE OF TELECOM MANAGEMENT
MBA
2. Objective
Understand Self Organizing Network (SON)
Concept of Self Organizing Network (SON)
Transition from Conventional Network Operation (CNO) to
SON
Coverage and Capacity Optimization in Self Organizing
Network (SON)
Benefits of SON
3. What is SON ?
A self-organizing Network (SON) is an automation technology
designed to make the planning, configuration, management,
optimization and healing of mobile radio access networks simpler
and faster.
The Third Generation Partnership Project, 3GPP has introduced the
concept of self-organising networks, SON into Release 8 of their
standards, and in addition to this the Next Generation Mobile
Networks, NGMN alliance introduced the concept of SON with the
aims of:
Reducing the operating cost by reducing the level of human
intervention in network design, build and operation
Reducing capital expenditure by optimising the use of
available resources
Protecting revenue by reducing the number of human errors
4. SON Architecture
The three SON architecture options (NMS = network management system, EMS = element management system,
OSS = operational support system).
5. Concept of Self Organizing Network (SON)
There are three main areas over which the self-organising networks
operate.
Self configuration: The aim is for base stations to become essentially
"Plug and Play" items. They should need as little manual intervention in the
configuration process as possible. This will enable the skill level of installers
to be reduced, thereby saving costs while improving the reliability.
Accordingly this is a major element within the overall self organising
network, SON software. This is the dynamic plug-and-play configuration
of newly deployed eNBs. The eNB will by itself configure the Physical Cell
Identity, transmission frequency and power, leading to faster cell
planning and rollout.
Dynamic configuration includes the configuration of the Layer 1
identifier, Physical cell identity (PCI) and Cell global ID (CGID).
PCI reporting UE supported reporting of CGID
6. Concept of Self Organizing Network (SON)
Self optimisation: Once the system has been set up, it will be necessary
to optimise the operational characteristics to best meet the needs of the
overall network. This is achieved by self-optimisation routines within the
overall self-organising network, SON software. Functions for self-
optimisation are mainly included in Release 9. It includes optimisation of
coverage, capacity, handover and interference.
Mobility load balancing (MLB) is a function where cells suffering
congestion can transfer load to other cells, which have spare
resources. MLB includes load reporting between eNBs to exchange
information about load level and available capacity.
7. Concept of Self Organizing Network (SON)
Self-healing: Any system will develop faults from time to time. This can
cause major inconvenience to users, however it is often possible for the
overall network to change its characteristics to temporarily mask the
effects of the fault. Boundaries of adjacent cells can be increased by
increasing power levels and changing antenna elevations, etc. This self-
healing aspect of SON, self-organizing networks is of great interest.
Features for automatic detection and removal of failures and automatic
adjustment of parameters are mainly specified in Release 10.
Minimization of drive tests (MDT), is enabling normal UEs to provide the
same type of information as those collected in drive test. A great
advantage is that UEs can retrieve and report parameters from indoor
environments.
8. Transition from Conventional Network
Operation to SON
Manual Network operation of Cellular Networks
Manual Network Operation
10. Coverage and Capacity Optimization in
Self Organizing Network (SON)
The Self-Organizing Network (SON), introduced as part of the 3GPP Long-Term
Evolution (LTE) is a key driver for improving Operation and Maintenance (OAM)
of the mobile networks. The goal of SON is to simplify the network
management by auto-configuration and auto-optimization. Optimization of
coverage and capacity is one of the high-level SON use cases. This paper
provides some background of SON principles and presents a model that
illustrates the SON optimization of coverage and capacity. Based on input
parameters, better coverage in this model is ensured by automatic adjustment
of antenna tilt.
Coverage and capacity optimization (CCO) is one of the typical operational
tasks of SON. CCO allows the system to periodically adjust to the changes in
traffic (i.e., load and location) and the radio environment by adjusting the key
radio frequency (RF) parameters (e.g., antenna configuration and power)
through intelligent algorithms. For the online CCO problem, there is no definite
mapping function from the inputs and parameters to be adjusted to the
coverage and capacity performance. The main reason is the complexity of
adjusting all the configuration parameters affecting both coverage and
capacity. In addition, the configuration parameter space is too large, which
prohibits exhaustive search. Thereby, most algorithms are designed in a
heuristic way.
11. Benefits of SON
The main benefits of introducing SON functions in cellular networks are as
follows.
1. Reduced installation time and costs.
2. Reduced OPEX due to reductions in manual efforts in connection with
monitoring, optimizing, diagnosing, and healing of the network.
3. Reduced CAPEX due to more optimized use of network elements and
spectrum.
4. Improved user experience.
5. Improved network performance.
The main features that are important for an operator concerning SON:
a. timing of introduction of SON functions,
b. possible savings,
c. QoS and performance improvements, and
d. coordination between SON functions