Pilot Wireless Network

Dingli's Pilot Wireless Network Solution is instrumental in ensuring seamless signal transmission between base stations and mobile devices. This cutting-edge solution is tailored to improve the performance, reliability, and efficiency of wireless networks, delivering enhanced network quality and user experience.

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Small Cell

Small Cell Test Networks stand at the core of the continuous transformation of wireless communication. They serve as pivotal elements in the expansion and fine-tuning of wireless infrastructure to cater to the ever-growing need for swift and dependable connectivity. Unlike public networks, some organizations, such as smart enterprises or hospital possess heightened demands for network quality.

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Drive Test/Outdoor Test

Drive tests, or outdoor tests, are vital for optimizing 4G and 5G networks. By evaluating network performance in real-world conditions, they provide key insights into coverage, signal quality, and performance, helping operators quickly address issues.

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Indoor Test

Indoor Network Test Solutions are essential for evaluating and optimizing cellular networks in indoor environments. Designed to tackle connectivity challenges, they ensure seamless performance in spaces like shopping malls, hospitals, offices, residences, schools, and underground parking lots.

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Autonomous Measurement

Autonomous Measurement leverages advanced tools, software, and processes to assess, monitor, and validate network performance. By replacing or complementing manual testing methods, it streamlines network evaluation, enabling engineers to optimize performance efficiently.

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Laboratory Automation

Laboratory test solutions are integral to the development, validation, and pre-deployment stages of 4G and 5G networks, ensuring their robustness and stability before market introduction. Within these controlled environments, network equipment, devices, and software undergo thorough testing to guarantee optimal performance, reliability, and compatibility.

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Post Processing

Dingli is at the forefront of providing cutting-edge Post Processing solutions tailored for network testing. These solutions are designed to enhance the entire spectrum of network analysis, ensuring optimal performance, reliability, and efficiency. We provide robust software analysis and processing platform for network benchmarking.

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Pilot Foresight

Foresight, an Android-based app equipped with hardware LIDAR for indoor Wi-Fi assessment. It provides real-time network quality assessment through data collection and analysis, presenting walking tracks in real time.

Pilot Foresight

Overviewof Pilot Foresight

Unlike other signal strength booster apps available in the Windows Store, Foresight leverages LIDAR integration for improved precision in positioning and pinpointing, ensuring the most accurate indoor mapping. It also serves as a quick network diagnosis tool and generates customized reports, enabling testers to identify and resolve indoor Wi-Fi network quality issues easily and efficiently.

Highlights

  • Real-time and Precise and Automatic Indoor Mapping

    LIDAR provides accurate indoor positioning and pinpointing, achieving 360 ° scanning, presenting altitude and walking tracks with maximum test area up to 10,000 square meters.

  • Real-time Network Quality Assessment

    Automatically collects and presents network data in real time during the testing process, executing PING, FTP service test, displaying the average speed, delay, signal strength, interference, roaming switching, etc., scoring based on the standard algorithms.

  • Highly Accurate and Visual Heat Map

    The heat map clearly shows overall indoor signal strength results, allowing the user to instantly assess network quality in each corner or specific area. It generates test reports and provides solutions.

Main features

Smart & Easy Handheld Operation

With an intuitive user interface and graphical data report, it enhances the operational efficiency providing testers with a clear understanding of network quality immediately and thereby improving user perception.

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