Keysight Technologies Nemo Xynergy Small Cells...03 | Keysight | Nemo Xynergy Small Cells -...

Keysight TechnologiesNemo XynergySmall Cells

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Technical Overview

02 | Keysight | Nemo Xynergy Small Cells - Technical Overview

Table of Contents

Nemo Xynergy Introduction ............................................................. 03Integration with Nemo Collection Tools ........................................... 06Nemo Xynergy Small Cells Module .................................................. 07Acceptance ....................................................................................... 09Benchmarking ....................................................................................11Dashboards ....................................................................................... 12Rules Engine ..................................................................................... 13


Nemo Xynergy is an enterprise-level, web-based data analytics platform from Keysight Technologies, Inc. for analyzing drive test, OSS, and subscriber data of mobile networks.

Nemo Xynergy Introduction

Enterprise-level, web-based analytics platform

For drive test, networkmanagement, and subscriber data

Automates key tasks in the networkmanagement life cycle

Data source, vendor, and technologyagnostic

Easy customization with state-of-the-art, user-definable business rules engine

Drive Test– Acceptance– Optimization– Benchmark

– Planning– Acceptance– Optimization

– PM– CM– FM– Others

– OSS trace– Others

Small CellsNetwork

ManagementGeospatial Intelligence

Figure 1. Nemo Xynergy consists of four separate modules: Drive Test, Small Cells, Network Management, and Geospatial Intelligence

Future-proof platformNemo Xynergy can integrate data from almost any source (e.g. all major drive test tool formats), any technology (LTE, VoLTE, UMTS, WiFi, and more), and any vendor (e.g. Keysight, Ericsson, and NSN) while applying a network awareness of where each data set fits within an operator’s ecosystem. Nemo Xynergy Rules Definition Language (RDL) allows users to define their own rules, run these rules on normalized data to generate new key performance indicators (KPIs), troubleshoot issues, and automate processes. The flexible rules make Nemo Xynergy a suitable platform for implementing various centralized Self Organizing Network (SON) procedures. Given both the robustness and flexibility of this platform, it can continue to grow and evolve as you add new data sets or wish to automate additional processes, such as closed-loop SON.

Improve operational efficiency and reduce customer churnNemo Xynergy is proven to reduce the operational cost of managing network performance. The platform’s user-friendly, rich, and intuitive interface flattens the learning curve, and provides a single access point to all network performance-related data sources. The high level of automation capabilities and the SON-compliant architecture enable the automation of routine network optimization tasks thus increasing efficiency.


Nemo Xynergy can be accessed via a web interface for easy sharing of data between different departments, anywhere across the globe, thereby maximizing your network resources. Nemo Xynergy allows you to prioritize and align engineering tasks with available resources and company business goals and standardize best practices throughout engineering teams.

Nemo Xynergy, built to deliver strong return on investment for our customers through automation and by enhancing the customer experience, which reduces customer churn rates and maximizes quality of service.

Nemo Xynergy hardware architectureNemo Xynergy hardware architecture is modular and fully scalable to the needs of a variety of use cases, from small-scale to nationwide deployments. Nemo Xynergy utilizes clustering in all layers (ETL, database, application) to scale and the system can be expanded by adding additional storage and nodes.

The different servers included in the setup can run on virtual machines. In a typical setup, there are two physical servers: one for the Oracle database and another for hosting the virtual servers of other functions.

Figure 2. The logical architecture of Nemo Xynergy

Web clusters

Web servers Map servers Tiles servers

Oracledatabase

Backend servers -ETL/rules/dashboards

Tape changer

SAN

FTP/fileservers

Web load balance

Backup server

Network switch

Network switch


As illustrated in Figure 2, the components in a typical Nemo Xynergy system include the following:

Backend servers – Processing servers for ETLs/rules – Processing servers for dashboard publishing (usually merged with ETLs/rules

server) – Processing servers for drive test – DB servers (Oracle) – File servers – Backup/admin servers

Front-end servers – Web servers – Tile servers – Map servers

Storage – Storage (SAN, SCSI, local)

Other IT hardware/services – Network switch – Load balancer (F5) – Tape drives/tapes – Backup power sources – Connectors and cables – Network connectivity (bandwidth (BW), including redundant BW, if needed)

The actual configuration that will be proposed for any specific customer depends on various factors, such as:

– Whether redundancy is required – Expected SLAs for availability of data/results – Volume and rate of incoming data – Data retention requirements (both processed and raw)


Integration with Nemo Collection Tools

Nemo Xynergy is seamlessly integrated with Nemo Collection tools. Data can be uploaded directly from collection tools to Nemo Xynergy for processing. This enables faster turnaround time of processed results and removes the need for manual managing of data flow from collection to post-processing. As an example, in an in-building test scenario a report of the collected data is available within 15 to 45 minutes, sent via email to the field engineer. This allows the field engineer to validate the collected data before leaving the venue and to make additional corrective measurements during the same visit if needed.

Nemo Xynergy is also integrated with Nemo Cloud. Nemo Cloud is used to remotely control the configuration and measurements of collection tools in the field and to monitor the measurements in real time. When coupled with Nemo Xynergy, Nemo Cloud can also be used to configure the automated data upload to Nemo Xynergy, including report configuration and execution. The executed Nemo Xynergy reports are available also in Nemo Cloud. This gives a single access point for end-users to configure, execute, and monitor the progress of field measurements, and to fetch the final deliverables.

Figure 3. Integration of Nemo Xynergy with Nemo data collection tools.

Nemo Xynergy Nemo Cloud

Nemo CloudNemo Xynergy - Centralized Analysis Platform

– Centralized, fully automated data processing chain– Network-wide view to the data with instant drilldown to message level interactive analysis– Benchmarking, optimization, troubleshooting– Inbuilding and drive test

– Asset management– Measurement control– Real-time monitoring– Reporting (powered by Xynergy)

End user - web access End user - web access

Log filesMeasurementconfiguration, real-timedata monitoring

Nemo data collection tools

Reports


Nemo Xynergy Small Cells Module

In-building and small cell measurement data post-processing has unique challenges. The input data consists of scattered measurement, map, and antenna overlay files from each floor and building of the venue. Nemo Xynergy’s Small Cells module provides the means to fully automate the data processing and reporting of small cell and in-building data and to remove time-consuming manual labor of managing and organizing indoor measurement data.

Another unique in-building measurement data related issue is the operation of the Distributed Antenna System (DAS). In DAS, the signal of a cell is transmitted and received via multiple antennas, and measurement tools cannot differentiate between the different antennas within a cell. Nevertheless, validating the operation of each DAS antenna is one of the key reasons for performing DAS measurements. Nemo Xynergy has built-in routines embedded into the DAS report templates to automatically detect the health of the DAS antennas.

The in-building visualization features allow users to toggle across floors and devices intuitively. The devices and test routes overlay the floor plans and the metric plots allow users to view the distribution of power and pilots. The delta plots offer interactive and in-depth analysis across operators and devices, making it easy and convenient to plot metrics, events, and sync with Layer 3 data. In addition, the troubleshooting analysis features enable drilldown investigation of network problems, such as pilot pollution, poor coverage, and interference.

Nemo Xynergy Small Cells module key benefits: – Automated processing and centralized online management of walk test data – Fast report delivery to the field engineer with key statistics – Compatible with iBwave indoor planning tool – Centralized, historical access to all processed data on the web – Rich feature set for online analytics and optimization – Fully user-customizable reports and data processing via the rules engine – Dynamic, customizable dashboards accessible anytime, anywhere via mobile

devices

Supported data formats

Nemo Xynergy Small Cells supports data feeds from all major test data collection tools:

– Nemo Handy and Nemo Walker Air – TEMS Investigation, Pocket – JDSU Truesite (FTA) – Swissqual Diversity, Qualipoc – Verizon DataPro – Accuver XCAL – WirelessMetrix LinkMaster – ZK CellTest SAM – DingLi Pioneer – Falcon Smart MCEM


Nemo Xynergy Small Cells - WorkflowsIn-building log files are uploaded directly from the field to Nemo Xynergy by field technicians. Nemo Xynergy processes the data automatically and produces a comprehensive indoor acceptance report and a summary report that is sent to the field technician. From the report the technician can validate whether the measurement data was good and, if necessary, take corrective actions before leaving the site. This real-time analysis avoids additional trips to the venue and saves time and money.

Nemo Xynergy enables two industry accepted workflows.Workflow (no iBwave)

– Field engineer collects the data and uploads it using Nemo Xynergy smart client – Nemo Xynergy automatically processes the data and e-mails the report to the field

engineer

Workflow (with iBwave) – Back office engineer uploads iBwave (.ibwc) file to setup Nemo Xynergy for testing – Field test engineer collects and uploads the data to Nemo Xynergy FTP – Nemo Xynergy automatically processes the data and e-mails the report to the field

engineer

Figure 4. Workflow using Nemo Xynergy and iBwave

Nemo Xynergy

Data file (walk test)

Upload data

Basic reportemail with link

Field tester

Detailed reports analysis

Upload .ibwcproject setup

Automateddata

processing

Automated Reporting

Analysis via detailed reports

and UI

Project setup Back office engineer

Back office engineer

Back office

Back office

Field tester


Acceptance

Nemo Xynergy provides an organized method for accepting DAS, indoor,and small cell deployments through a process of automated processing, reporting, online analytics, and summary dashboards.

Nemo Xynergy’s inbuilding project manager and dashboards with grouping, filtering, and drill down capabilities provide an efficient way to stay on track with large scale deployments.

Figure 5. Nemo Xynergy acceptance dashboard with floor-level drill down.

Nemo Xynergy can be configured to periodically send detailed status reports to the project management team. Status reports list the venues that have been tested as well as the network’s status and KPIs.


Antenna validationThe first step towards implementation of a successful indoor system is to ensure that the access points (APs) transmit the correct channels with adequate power. The antenna validation report generated using the Nemo Xynergy Small Cells module provides a quick overview of the pilot power and channel information.

Figure 6. Antenna validation report in Nemo Xynergy.

Figure 7. Coverage plots showing macro ingress.

Detect Macro IngressIn order to analyze small cell network coverage and performance, it is important to identify which areas of the venue are served by the indoor system versus the macro network. A report in Nemo Xynergy clearly highlights the coverage split between the small cell (indoor) and macro networks.


Benchmarking

Nemo Xynergy comes with many competitive analysis-oriented features and reports, such as benchmarking reports, delta plots (metric comparison on the map), and in-depth analysis per operator, per measurement device, and more.

The benchmarking dashboards enable real-time comparisons between operators with the ability to drill down and view historical trends. Dashboards can be accessed with mobile devices in addition to laptop/desktop computers.

Figure 8. Benchmarking dashboards provide comparative view between operators.

The automated data processing chain in Nemo Xynergy efficiently manages large and complex data volumes and processes the data into informative and interactive reports and analytics views. Nemo Xynergy offers canned benchmarking report templates for all 3GPP network technologies and for the most common consumer applications and services. Hand select data to include in custom reports and dashboards to help identify network issues and develop action plans to improve performance.


Dashboards

Nemo Xynergy offers dynamic, fully customizable dashboards that are accessible from a desktop computer via a web browser as well as from mobile devices. Use the dashboards for data overview and reporting in all use cases, including optimization, benchmarking, and acceptance.

Instead of offering a simple static display of the data, the content in the dashboards is fully dynamic and interactive. Use dashboard filters to instantly display a subset of data, all views matching the current selection and showing the relations between the different data points. Filter and explore the data in a variety of ways to find correlations and examine different data dimensions.

Figure 9. Nemo Xynergy dashboards.


Rules Engine

Nemo Xynergy Rules Definition Language (RDL) is a database-independent, procedural, and expert system definition language. The unique RDL allows users to define their own rules and effectively apply logic to the normalized data in order to identify new KPIs, troubleshoot issues, and automate processes. Every data source is exposed to the RDL which allows for effective correlation to any of the following outputs:

– Visualization (dashboards, maps, charts, reports, and more) – Workflow (alerts that can be assigned, resolved, reactivated, and more) – Microsoft Excel reports (based on fully formatted templates) – Databases (to generate and save analytical/summarized data) – Network elements update scripts/procedures (SON) – Web services (to drive other applications)

Figure 10. With RDL Studio, Nemo Xynergy users can define their own rules.


This information is subject to change without notice.© Keysight Technologies, 2015 - 2017Published in USA, July 28, 20175992-2015ENwww.keysight.com

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