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By | April 10, 2019 | 267 views
 

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

The previous parts of this blog series drew the conclusion that the critical nature of some applications demands that solutions for testing 5G QoE must be independent, transparent and traceable to certified international standards and not aligned to proprietary techniques or individual network equipment vendors. The more one considers the mission-critical applications arising from 5G cases, the more it reinforces…

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By | April 3, 2019 | 304 views
 

Testing 5G QoE: Defining and measuring 5G QoE test cases (part 2/3)

In part one of this blog series, we established that an expanded test methodology with new test cases is required to characterize the quality of experience (QoE) of 5G networks. Let’s now take a closer look at how to define and set up QoE test cases for these new “user” experiences. First, we need to understand the requirements of the…

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By | March 28, 2019 | 419 views
 

Testing 5G QoE: Use cases, services and a new QoE paradigm (part 1/3)

Visibility of subscribers’ quality of experience is something operators have sought to measure since the early days of mobile networks. In this three-part blog series, we consider the emergence of 5G, the new use cases and services it brings, and the necessity to rethink the approach to measuring network performance and the quality of experience (QoE) of 5G networks. From…

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By | March 6, 2019 | 556 views
 

Webinar report: 5G NR network deployment is now – let’s test!

With 5G NR network rollout clearly on the horizon, network operators worldwide are planning pre-commercial network trials. The target is to overcome the challenge of a more demanding and complex air interface and deliver the commercial and technical benefits offered by 5G. In recent posts about 5G network measurements, we discussed the challenges of and the test solutions for some…

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By | February 6, 2019 | 808 views
 

Spectrum clearance: Prepare your 5G NR spectrum for deployment

RF interference is one of the largest contributors to poor network performance. It manifests itself in dropped calls and low data throughput rates. When you invest in new bands to improve network performance and then get less than 50% of the expected performance improvement, it is time to tackle the problem head on. In LTE, for every 10 dB less…

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By | January 17, 2019 | 852 views
 

Network Performance Score: initiate improvements with a QoE-centric score

There are various scores, as in scoring methods, claiming to measure the performance of mobile networks on the market. Some scores are based on plain technical metrics, others on quality of experience (QoE) measurements or surveys. Which score should a mobile network operator (MNO) choose? The one providing the highest score? The cheapest one? The one based on technical scores…

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By | December 19, 2018 | 605 views
 

Quality of experience: are you really taking care of it in your mobile network?

Quality of experience (QoE) is crucial for the success of mobile network operators because subscribers are increasingly sensitive to the perceived quality of applications in mobile networks. Operators will only grow their subscriber base if they can lure subscribers from competing operators by offering a better perceived QoE. In a recent webinar, we provocatively asked the question “Are you really…

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By | November 21, 2018 | 1,024 views
 

NB-IoT: how to find NB-IoT carriers in the spectrum (part 6)

Identifying NB-IoT carriers with a pure RF power scan is very difficult and sometimes impossible. After describing the benefits of NB-IoT MIB/SIB demodulation in the previous NB-IoT post, this post discusses the challenges in identifying NB-IoT carriers in the spectrum and offers solutions. The extended Automatic Channel Detection (ACD) feature finds and identifies NB-IoT carriers automatically and display the findings…

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By | November 7, 2018 | 1,217 views
 

Machine learning in mobile network testing (part 1)

Artificial intelligence (AI) has vast applications in the telecom industry, from anomaly detection to network optimization and utilization; and AI could lead to various new revenue streams. Many telecom leaders believe that machine learning (ML) will be the key to derive and infer user behavior and expectations. It aims to increase the user’s quality of experience (QoE) and reduce customer…

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