Mobile network testing blog

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Mobile network testing

Category: Innovations in mobile network testing

Elevating QoE-centric network performance testing into the 3rd dimension

November 4, 2024 | by MNT Team

Our innovative customer Wandel Services from Hungary has taken network testing to new heights - literally. By mounting Rohde & Schwarz equipment onto drones, they have pioneered an aerial and autonomous testing approach. After two years of experiments and trials, the solution is now market-ready, with the first commissioned network benchmarking tests already implemented.

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XR service latency measurements

May 27, 2023 | by Silvio Borer

Read about efficient XR services on mobile devices and XR latency measurements as KPI to evaluate the XR network quality.

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MNT Tech Insights (part 3): Fun with RF Scanners

January 31, 2024 | by Sindhu Yogish

Read the third part "Fun with scanners" of our blog series "MNT Tech Insights" about RF scanners in mobile network testing (based on the MNT Forum 2023).

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MNT Tech Insights (part 2): Orange innovations - 5G advanced experience and benchmarking score methodology adaptation

October 4, 2023 | by Sindhu Yogish

Read the second part "Orange innovations" of our blog series "MNT Tech Insights" about 5G private networks for mobile operators and industry customers.

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MNT Tech Insights (part 1): Telecom 4.0

August 1, 2023 | by Sindhu Yogish

Read the first part "Telecom 4.0" of our new blog series "MNT Tech Insights" about the changing demands of private networks (based on the MNT Forum 2023).
Explore the new trend in mobile network solutions where demand is moving from design-to-scale and towards design-to-requirement.

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Testing can make Open RAN a success

January 31, 2022 | by Magnus Hylén

The biggest challenges the industry faces with Open RAN include the interoperability of different elements from different vendors and generating performance levels similar to those of single vendor networks. Extensive testing can help overcome these challenges.

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Machine learning: Time-based anomaly detection (part 3)

Machine learning: Time-based anomaly detection (part 3)

March 17, 2020 | by Miguel Román

Data scientists love anomaly detection as anomalous samples provide valuable insight that often correlates with defects or errors in the data collection process. This blog post demonstrates how we leverage neural networks to build a time-based anomaly detector, featured in SmartAnalytics, for mobile network testing use cases.

Network measurements with drones: The next step to a connected sky

October 17, 2019 | by Pak Lun Lam

In the era of IoT, one of the most urgently discussed topics concerns the deployment of drones to automate commercial applications such as mail delivery or aerial taxis. This post examines the results of LTE network measurements conducted with drones to offer insights into coverage, throughput, and latency at flight altitude.

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NB-IoT field test: Measuring NB-IoT underground

May 22, 2019 | by Albert Huang

What are the necessary steps to measure NB-IoT coverage accurately and reliably? In this field test, we buried an NB-IoT device 20 cm underground before making coverage measurements. Learn more about the test setup and procedure, as well as the impact of soil on coverage.

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Machine learning use case: Call Stability Score (part 2)

May 2, 2019 | by Miguel Román

The machine learning-based Call Stability Score (CSS) in SmartAnalytics benefits operators by removing one of the main chance factors in benchmarking campaigns. The CSS rates each call for its stability based on high-dimensional datasets that cover hundreds of thousands of good and bad calls.

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Testing 5G QoE: The role of standardization organizations (part 3)

April 10, 2019 | by Jeremy Carpenter

The urban RF environment is very demanding – densely packed with a myriad of cellular and non-cellular transmitters, interfering emitters, and inconveniently located building. This post explains why it pays to focus on the angle of arrival (AOA) method regarding speed, accuracy, and effectiveness when hunting interference in urban areas.

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Testing 5G QoE: Defining and measuring 5G QoE test cases (part 2)

April 3, 2019 | by Jeremy Carpenter

Without knowing the underlying service and device requirements, network quality engineers do not know what aspects and metrics to treat as important KPIs. How do you define and set up quality of experience (QoE) test cases for new “user” experiences such as for sensors in an industrial IoT deployment?

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Benchmarking & optimization

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Field services & interference hunting

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Testing from RF to QoE

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New e-book provides unparalleled insight into the 5G NR world

What's the status of 5G NR? What are the test and measurement requirements, and how do we approach them? Download our new e-book now and get unparalleled insight into the world of 5G NR.

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The world's first 5G NR network measurement solution

Rohde & Schwarz is pioneering 5G New Radio (5G NR) network measurements with the world's first commercially available 5G NR network measurement solution. This solution enables users in the 5G network ecosystem as well as regulators to measure the 5G NR network coverage accurately - one of the biggest challenges in the network planning.

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Pioneers in NB-IoT field measurements

We are paving the way to NB-IoT by provding the world's first accurate LTE/NB-IoT coverage measurement solution: via a software upgrade, the R&S ROMES drive test software now also supports NB-IoT coverage measurements with R&S TSMx scanners.

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