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TEMS™ Portfolio | Mobile Network Optimization

Where superior mobile network experiences begin

Ensuring a Superior Mobile Network Experience with TEMS

The TEMS™ Network Testing Portfolio allows you to optimize the quality of your mobile network by concentrating on user experience. TEMS gives you the ability to walk test, drive test, and dynamically analyze your mobile network optimization under the real-life conditions your users experience—indoors, outdoors, and around the clock.

Don’t assume your mobile network is delivering a quality user experience, know it with the TEMS™ Network Testing Portfolio.

New Devices

Samsung Galaxy S10 5G
Samsung Galaxy S10 5G
Samsung Galaxy S10
Samsung Galaxy S10
Apple iPhone XS​
Apple iPhone XS​
OnePlus 7 Pro 5G
OnePlus 7 Pro 5G
Sony Xperia 1
Sony Xperia 1
OnePlus 6T
OnePlus 6T
ZTE Axon Pro 5G
ZTE Axon Pro 5G
Google Pixel 3
Google Pixel 3
Samsung Galaxy S10 5G
The Samsung Galaxy S10 5G is a 5G capable smartphone running the latest version of Android 9, supporting up to LTE CAT 20 (2 Gbps DL/150 Mbps UL), 7CA DL, 4x4 MIMO, LAA, VoLTE, VoWiFi, 256-QAM DL and 64-QAM UL. The Galaxy S10 5G also supports Wi-Fi 6 which makes it possible to measure Wi-Fi data throughput up to 1.5 Gbits/s.
Samsung Galaxy S10
The Samsung Galaxy S10 is capable of measuring high speed data throughput performance (up to 2 Gbits/s Downlink and 150 Mbits/s Uplink). The S10 also supports Wi-Fi 6 which makes it possible to measure Wi-Fi data throughput up to 1.5Gbits/s. S10 models will be available with Qualcomm or Samsung chipset depending on region.
Apple iPhone XS​
Use the popular Apple iPhone XS for data collection with TEMS Investigation. It is an Apple A12 Bionic chipset based smartphone running Apple iOS and capable of performing data and voice service testing.​
OnePlus 7 Pro 5G
The OnePlus 7 Pro is a Qualcomm based Android 9.0 smartphone. It is 5G enabled LTE CAT 18 (for 5G Sub6 and mmWave 1.2Gbps DL / 150Mbps UL), 5CA DL, 4x4 MIMO, VoLTE, VoWIFI, 256-QUAM DL and 64-QAM UL.
Sony Xperia 1
The Sony Xperia 1 J9110 is one of the latest smartphones from Sony. It is based on the Qualcomm Snapdragon 855 chipset, running Android 9 Pie and capable of LTE DL Cat. 19 (1600 Mbit/s).
OnePlus 6T
The OnePlus 6T is an affordable Qualcomm based smartphone running Android 9.0. It supports up to 5CA and is capable of LTE Cat. 16 (up to 1 Gbit/s).​
ZTE Axon Pro 5G
The ZTE Axon Pro 5G is a combined 4G/5G Android 9.0 device based on the Qualcomm SnapDragon 855 chipset and the Snapdragon X50 5G modem. It can connect to 5G networks (Bands 41 and 78), and is capable of LTE 4x4 MIMO.
Google Pixel 3
Google Pixel 3 is a capable Android smartphone running the latest version of Android 9, available with a Qualcom chipset, and aimed for a global market. The Google Pixel 3 is supporting LTE Band 42, up to LTE CAT 16 (1 Gbit/s DL/75 Mbit/s UL), 5x DL CA, 4x4 MIMO, LAA, 256-QAM DL and 64-QAM UL depending on operator support.

Highlights & Innovations

TEMS Paragon

umlaut score indicator

TEMS Paragon users will now be able to send TEMS log-files to Infovista and have them evaluated by umlaut communications GmbH (previously known as P3 Communications GmbH). Customers will be able to order an umlaut score indicator for the networks in their country and understand how they compare with the dozens of mobile operators that have already been scored by umlaut. 

Infovista will make this service available to all TEMS Paragon customers that have the latest features and devices (as used by umlaut).

5G NR device testing

Support for 5G NR device testing

TEMS Investigation allows customers to verify the interworking between the 4G and 5G network using commercial 5G devices. 

TEMS Investigation can decode the Qualcomm x50 chipset, and therefore record the 5G NR measurements, information elements and events recorded by a number of devices based on this 5G chipset. 

5G scanning

5G Scanning with Rohde & Schwarz TSME6

The Rohde & Schwarz TSME6 ultra compact drive test scanner is a high-power platform for optimizing all conventional mobile radio networks. 

A highly sensitive 20 MHz front end for any input frequencies from 350 MHz to 4400 MHz, and an FPGA-based software-defined architecture offer unsurpassed performance while providing maximum flexibility.

Supported by TEMS Investigation and TEMS Paragon.

Introducing 5G Scanning

Introducing 5G Scanning

The PCTEL HBflex and IBflex scanners are highly flexible test tools with 5G NR testing capabilities on sub-6 GHz bands. The PCTEL HBflex also has support for mmWave scanning.​ 

Both scanners can be used to clear spectrum or test 5G NR alongside LTE, NB-IoT, Wi-Fi, and legacy 3G and 2G wireless network technologies.​
 

Automatic Pinpointing

The automatic pin-pointing, utilizing technology available in most smartphones supported by TEMS Pocket reduces the time to collect measurements with about 50%.

Instead of focusing on where to add the next pinpoint, you can now walk at your own pace making use of the built-in smart positioning functions in the phone. The auto pinpointing also leads to a more accurate positioning of each measurement, which in 5G NR becomes even more important. 

This is part of our automation program for smart testing and is currently included in TEMS Pocket Professional offerings. 

sQLEAR

sQLEAR – A new, innovative AQM algorithm, trained using the latest machine learning techniques, validated and evaluated in conformance with ITU standards.​

It uses a combination of network parameters, codec/client information and reference audio to predict MOS scores with proven high accuracy for VoLTE services using EVS.​

sQLEAR scores are comparable between device models and suitable for benchmarking scenarios.​

Internet of Things

Internet of Things (IoT) network applications must be deployed with minimal additional investment and effort. 

Infovista’s ability to simulate an operational network, and dimension it in a manner that allows for accurate forecasts, provides operators and vendors with a business case for strategic advantage.​

Infovista´s Network Testing products are able to test a variety of different IoT networks, even in challenging environments like the mine.​