The document discusses 4G LTE drive testing. It describes the necessary equipment for drive testing including a notebook, GPS, and LTE dongle. It outlines key LTE radio parameters that are measured like PCI, RSRP, SINR, and MIMO. It also discusses measuring UE state information, throughput, and LTE access procedures including attach requests, random access failures, and E-RAB failures. Finally, it compares the impact of ANR capabilities versus UE capabilities on measuring neighboring cells within and between eNodeBs.
Drive Tests and Propagation Prediction software are the two methods that are used to check the coverage area of a particular wireless system. Generally prediction software is used in conjunction with the radio signal measurements in order to determine an accurate picture of signal propagation. In some cases, field measurements may be needed to be taken in order to calibrate the prediction software.
Drive Tests and Propagation Prediction software are the two methods that are used to check the coverage area of a particular wireless system. Generally prediction software is used in conjunction with the radio signal measurements in order to determine an accurate picture of signal propagation. In some cases, field measurements may be needed to be taken in order to calibrate the prediction software.
Single site verification (SSV) consists of pre-launch and post-launch optimization activities in order to ascertain the sites. SSV Tool is a Windows application that automatizes pre and post launch processes. It checks over 200 parameters of the sites, analyze the values and creates reports.
D-VoiS SSV Broadband Private Limited is a leading private sector internet service provider in Navi Mumbai. It has more than 1,00,000 subscribers across Navi Mumbai,Mumbai and Thane district.
Fast fading, Slow fading and Multipath effect in wireless communicationsPei-Che Chang
Fast fading, Slow fading and multipath effect in wireless communications
QPSK in AWGN channel
QPSK in AWGN + Rayleigh fading channel
using GNU Octave simulation
Main purpose of this document is to discuss LTE basic call flows.
It also introduces LTE network architecture, Nodes, their functionality as well as interfaces that
connect these network nodes.
A brief description of UE states is also given.
CDMA PRL issue investigation: Network operator A can detect ARFCN from operat...Ray KHASTUR
Because ARFCN of two operator are sharing use due to policy from government. Operator A only input one index table acquisition all ARFCN in HDR channel list, Operator B have 3 table index acquisition that different in each region.
PRL Operator A:
* Index Table 1 HDR (37, 78, 119, 160, 201, 242, 283, 324 and 1019)
PRL Operator B:
*Index Table 1 HDR (283)
*Index Table 3 HDR (1019 and 37)
*Index Table 5 HDR (1019)
From explanation above we can see that operator A will scanning all ARFCN that available in surrounding area which is suitable in Index Table 1 Operator A, that's why Operator A can detect Operator B channel list in all region.
Implementation of Forward Scheduling (GOS Factor) on BSC 6600 CDMA EvDO Rev.ARay KHASTUR
One of CDMA EVDO operator Band Class 800 MHz in Country I have to calculate The Average User Throughput in cluster P was under KPI threshold (< 300 kbps), in order to improve capacity need to implement forward scheduling algorithm (GOS Factor).
• GOS Factor is one of the method to improve Average User Throughput (BSC based).
• The basic principle from this algorithm is find the biggest amount of each type of subscriber
(Gold, Silver and Bronze), then multiply with proportional ratio of rate which produce the highest
average user throughput.
• GOS Factor will be take effect in the high traffic condition, otherwise will be handle with QoS Limitation.
• GOS Factor is for temporary solution only, capacity expansion still needed when growth of subscriber
increase time after time.
Comparison Static ICIC and Adaptive ICIC on TD-LTERay KHASTUR
The subscriber on the cell edge will have bad experience due to impact of this co-channel interference. There is function of SFR (Soft Frequency Reuse) in LTE-TDD that is manipulated BW into several cell edge style. On Genex U-Net we can use this feature to minimize of inter cell interference, we can chose static ICIC or adaptive ICIC based on field condition.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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
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.
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
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.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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/
10. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 10
Attach Request Procedure – Event List
11. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 11
Attach Request Procedure – L3 Message
12. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 12
UE Attach Procedure
RACH
RRC Setup
Authentication
E-RAB
13. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 13
Access Failure Reasons
Random access fail reasons:
• Bad RF conditions ( SINR<-3 or RSRP<-120)
• UE configuration parameter (Monitor the
top-1 fail UE for analysis)
• Enode-B configuration parameter (Parameter
checking at the TOP-1 fail site)
• Core-network configuration parameter (If all
the site in one CN often fail)
RRC Setup Fail reasons:
• Case-1: often fail by One UE: trace the UE and get
the RF signal performance. Maybe cause by the
UE signal or UE configuration setting.
• Case-2: Often fail in one site by different UEs:
Trouble shooting the problem site.
Authentication will happen between UE and MME, EnodeB just transfer the
information. So we have to check the “S1 interface message” in core-M2000.
Authentication fail in three reasons:
• UE did not feedback all the information (4 messages). -----check the UE signal
conditions.
• Core-Network no reply “Initial UE context setup Req)-----UE and CN need to be
check.
• Core-Network release “S1 UE Context Rel_CMD”-----UE and CN need to be check.
ERAB fail Reason:
•Security mode negotiation problem (“RRC SEQUR Mode Fail” reply by UE)----UE
problem
•Security mode negotiation problem (No receive “RRC SECUR MODE CMP” from UE”----
UE RF conditions.
•UE CAP enquiry fail.(No receive “RRC_UE_CAP_RSP”from UE”----UE RF conditions.
•RECFM not complete (No receive” RRC CONN RECFG CMP” from UE)----UE RF
conditions.
16. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 16
ANR vs UE capability : Inter-eNodeB
1. The source eNodeB delivers the intra-frequency measurement
configuration to the UE, instructing the UE to measure
neighboring cells that work on the frequencies specified in the
measurement configuration.
2. The UE detects that the PCI of cell B meets the measurement
requirements, and reports the PCI to the source eNodeB.
3. The source eNodeB checks whether its intra-RAT NCL includes the
PCI of cell B. If so, the procedure ends. If not, the source eNodeB
sends the measurement configuration to the UE, instructing the
UE to read the ECGI, tracking area code (TAC), and PLMN ID list of
cell B.
4. The source eNodeB allows the UE to read these parameters over
the broadcast channel (BCH).
5. The UE reports the obtained parameter values to the source
eNodeB.
Notes:
ANR features of an UE will effect the capability of the UE to read the ECGI, TAC and other information of the target cell. Thus, failure to
do so the target cell information can’t be read.
17. 4G LTE Drive Test Introduction @ Floatway Learning Centre , slide number 17
Due to the source cell and target cell are located under
the same BBU board, thus target cell information can be
search and obtain internally referring to the PCI.
Therefore although UE doesn’t support ANR features, it
doesn’t affect the reading of ECGI, TAC and other
information of the target cell which required for the
creation of NCL.
1. The source eNodeB delivers the intra-frequency
measurement configuration to the UE, instructing the
UE to measure neighboring cells that work on the
frequencies specified in the measurement configuration.
2. The UE detects that the PCI of target cell (Cell A) meets
the measurement requirements, and reports the PCI to
the source cell (Cell B).
ANR vs UE capability : Intra-eNodeB