This dataset includes data for NB-IoT and 5G networks as collected in two cities: Oslo, Norway (NB-IoT only) and Rome, Italy (both NB-IoT and 5G).

Data were collected using the Rohde & Schwarz TSMA6 mobile network scanner. 7 measurement campaigns are provided for Oslo, and 6 for Rome. Additional data collected in Rome are provided in the following large-scale dataset, focusing on the two major mobile network operators: https://ieee-dataport.org/documents/large-scale-dataset-4g-nb-iot-and-5g-non-standalone-network-measurements

The dataset includes a metadata file providing the following information for each campaign:

date of collection;

start time and end time of collection;

length;

type (walking/driving).

Two additional metadata files are provided: two .kml files, one for each city, allowing the import of coordinates of data points organized by campaign in a GIS engine, such as Google Earth, for interactive visualization.

The dataset contains the following data for NB-IoT:

Raw data for each campaign, stored in two .csv files. For a generic campaign , the files are:

NB-IoT_coverage_C.csv including a geo-tagged data entry in each row. Each entry provides information on a Narrowband Physical Cell Identifier (NPCI), with data related to the time stamp the NPCI was detected, GPS information, network (NPCI, Operator, Country Code, eNodeB-ID) and RF signal (RSSI, SINR, RSRP and RSRQ values);

NB-IoT_RefSig_cir_C.csv, also including a geo-tagged data entry in each row. Each entry provides information on a NPCI, with data related to the time stamp the NPCI was detected, GPS information, network (NPCI, Operator ID, Country Code, eNodeB-ID) and Channel Impulse Response (CIR) statistics, including the maximum delay.

Processed data, stored in a Matlab workspace (.mat) file for each city: data are grouped in data points, identified by pairs. Each data point provides RF and CIR maximum delay measurements for each unique combination detected at the coordinates of the data point.

Estimated positions of eNodeBs, stored in a csv file for each city;

A matlab script and a function to extract and generate processed data from the raw data for each city.

The dataset contains the following data for 5G:

Raw data for each campaign, stored in two .xslx files. For a generic campaign , the files are:

5G_coverage_C.xslx including a geo-tagged data entry in each row. Each entry provides information on a Physical Cell Identifier (PCI), with data related to the time stamp the PCI was detected, GPS information, network (PCI, Beamforming Index, Operator, Country Code) and RF data (SSB-RSSI, SSS-SINR, SSS-RSRP and SSS-RSRQ values, and similar information for the PBCH signal);

5G_RefSig_cir_C.csv, also including a geo-tagged data entry in each row. Each entry provides information on a PCI, with data related to the time stamp the PCI was detected, GPS information, network (PCI, Beamforming Index, Operator ID, Country Code) and Channel Impulse Response (CIR) statistics, including the maximum delay.

Processed data, stored in a Matlab workspace (.mat) file: data are grouped in data points, identified by pairs. Each data point provides RF and CIR maximum delay measurements for each unique combination detected at the coordinates of the data point.

A matlab script and a supporting function to extract and generate processed data from the raw data.

In addition, in the case of the Rome data additional matlab workspaces are provided, containing interpolated data in the feature dimensions according to two different approaches:

A campaign-by-campaign linear interpolation (both NB-IoT and 5G);

A bidimensional interpolation on all campaigns combined (NB-IoT only).

A function to interpolate missing data in the original data according to the first approach is also provided for each technology. The interpolation rationale and procedure for the first approach is detailed in:

L. De Nardis, G. Caso, Ö. Alay, U. Ali, M. Neri, A. Brunstrom and M.-G. Di Benedetto, "Positioning by Multicell Fingerprinting in Urban NB-IoT networks," Sensors, Volume 23, Issue 9, Article ID 4266, April 2023. DOI: 10.3390/s23094266.

The second interpolation approach is instead introduced and described in:

L. De Nardis, M. Savelli, G. Caso, F. Ferretti, L. Tonelli, N. Bouzar, A. Brunstrom, O. Alay, M. Neri, F. Elbahhar and M.-G. Di Benedetto, " Range-free Positioning in NB-IoT Networks by Machine Learning: beyond WkNN", under major revision in IEEE Journal of Indoor and Seamless Positioning and Navigation.

Positioning using the 5G data was furthermore in investigated in:

K. Kousias, M. Rajiullah, G. Caso, U. Ali, Ö. Alay, A. Brunstrom, L. De Nardis, M. Neri, and M.-G. Di Benedetto, "A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements," IEEE Communications Magazine, Volume 62, Issue 5, pp. 44-49, May 2024. DOI: 10.1109/MCOM.011.2200707.

G. Caso, M. Rajiullah, K. Kousias, U. Ali, N. Bouzar, L. De Nardis, A. Brunstrom, Ö. Alay, M. Neri and M.-G. Di Benedetto,"The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution", IEEE Open Journal of the Communications Society, Volume 5, pp. 7380 - 7399, 2024. DOI: 10.1109/OJCOMS.2024.3499370.

Please refer to the above publications when using and citing the dataset.

Published by Collins Bartholomew in partnership with Global System for Mobile Communications (GSMA), the Mobile Coverage Explorer is a raster data representation of the area covered by mobile cellular networks around the world. OCI dataset series has been created using OpenCellID tower locations. These derived locations have been used as the centre points of a radius of coverage: 500m for 4G networks. These circles of coverage from each tower have then been merged to create an overall representation of network coverage. The OCI 5G dataset is available at Global and National scale. The file naming convention is as follows: OCI_Global

Published by Collins Bartholomew in partnership with Global System for Mobile Communications (GSMA), the Mobile Coverage Explorer is a raster data representation of the area covered by mobile cellular networks around the world. The dataset series is supplied as raster Data_MCE (operators) and Data_OCI (OpenCellID database). OCI dataset series has been created using OpenCellID tower locations. These derived locations have been used as the centre points of a radius of coverage: 12 kilometres for GSM networks, and 4km for 3G and 4G networks. No 5G data yet exists in the OpenCellID database. These circles of coverage from each tower have then been merged to create an overall representation of network coverage. The OCI dataset series is available at Global and National level. Global dataset series - sub hierarchy levels - contain three datasets representing cellular mobile radio technologies ‘2G’, ‘3G’ and ‘4G’ The file naming convention is as follows: OCI_Global

Techsalerator’s Business Technographic Data for Laos: Unlocking Insights into Laos' Technology Landscape

Techsalerator’s Business Technographic Data for Laos provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Laos. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Laos, allowing technology vendors to target potential clients and enabling analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field outlines the technologies and software solutions a company uses, such as enterprise resource planning (ERP) systems, customer management software, and cloud services. Understanding a company's technology stack is essential to evaluating its digital maturity and operational needs.

• Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can leverage this information to assess technology adoption and identify opportunities among companies in Laos.

• Industry Sector: This field specifies the industry in which the company operates, such as agriculture, mining, or retail. Knowledge of the industry helps vendors tailor their products to sector-specific demands and emerging trends in Laos.

• Geographic Location: This field identifies the company's headquarters or primary operations within Laos. Geographic information is crucial for regional analysis and understanding localized technology adoption patterns across the country.

Top 5 Technology Trends in Laos

• Agricultural Technology: As agriculture is a key sector in Laos, businesses are increasingly adopting digital tools like smart farming technologies, irrigation systems, and crop monitoring software to enhance productivity and sustainability.

• Renewable Energy Technologies: Laos is harnessing its natural resources, particularly hydropower, to meet growing energy demands. There is increasing interest in solar power and other renewable energy solutions to diversify the energy mix.

• E-commerce and Digital Payments: The rapid rise of e-commerce is transforming Laos, with businesses embracing digital payment gateways, online marketplaces, and mobile banking services to reach a broader consumer base.

• Telecommunications and Connectivity: With growing internet penetration, telecommunications providers in Laos are expanding their infrastructure, introducing high-speed internet services, and deploying 4G and 5G technologies.

• Cloud Computing: Cloud-based solutions are becoming popular in Laos, particularly among businesses seeking cost-effective IT infrastructure to support operations in education, finance, and healthcare sectors.

Top 5 Companies with Notable Technographic Data in Laos

• BCEL Bank (Banque Pour Le Commerce Extérieur Lao): A leader in digital banking in Laos, BCEL is enhancing its offerings with online banking services, mobile apps, and robust cybersecurity solutions to meet growing consumer demands.

• Lao Telecom: As one of the largest telecom providers in Laos, Lao Telecom is expanding its digital infrastructure by investing in high-speed internet, 4G/5G networks, and data centers to support the country’s connectivity needs.

• Électricité du Laos (EDL): The primary electricity provider in Laos, EDL is investing in renewable energy projects such as hydropower and solar to meet the country’s sustainable energy goals and reduce dependency on traditional energy sources.

• Unitel Laos: A key player in the telecommunications space, Unitel is advancing mobile and internet services across the country, playing a critical role in improving digital connectivity for businesses and individuals.

• Lao Brewery Co. Ltd: One of the largest beverage companies in the country, Lao Brewery is adopting advanced manufacturing technologies and supply chain management systems to optimize production and distribution.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Laos, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

• Company Name
• Technology Stack
• Deployment Status
• Industry...

Определение: Страны с установленной сетью 5G, страны Латинской Америки и Карибского бассейна, 2023 год [Переведено с en: английского языка] Тематическая область: Информационно-коммуникационные технологии [Переведено с en: английского языка] Область применения: Другие [Переведено с en: английского языка] Единица измерения: Количество стран [Переведено с en: английского языка] Источник данных: Цифровая обсерватория Десарролло (ODD), основанная на нашей собственной разработке [Переведено с es: испанского языка] Последнее обновление: Feb 9 2024 11:56AM Организация-источник: Экономическая комиссия по Латинской Америке и Карибскому бассейну [Переведено с en: английского языка] Definition: Countries with 5G network installed, Latin America and the Caribbean countries, 2023 Thematic Area: Information and Communication Technologies Application Area: Others Unit of Measurement: Number of countries Data Source: Observatorio de Desarrollo Digital (ODD) based on our own elaboration Last Update: Feb 9 2024 11:56AM Source Organization: Economic Comission for Latin America and the Caribbean

Change-In-Cash Time Series for Business intelligence of Oriental Nations Corp Ltd. Business-intelligence of Oriental Nations Corporation Ltd. provides big data and cloud platform solutions in China and internationally. The company offers cirro data database, big data governance platform, enterprise big data platform, marketing, data, and sales cloud, turning mind, turning customer service turning bot, turning composer, turning robot market turning market, large model engineering kit BONDroid factory, naked computing power platform model metal, large model training platform ModelDeck, large model inference platform ModelRT, corpus annotation management platform ModelKitchen, 5G extended and integrated pico base station, intrinsically safe 5G integrated pico base station module, 5G integrated high-power base station, 5G rapid deployment system, 5G high power CPE, Cloudiip-iMine, Cloudiip, data science cloud, and BI build. It serves communications, finance, smart mine, medical, agriculture, new retail, government, and other industries. The company was founded in 1997 and is headquartered in Beijing, China.

Minority-Interest-Expense Time Series for Business intelligence of Oriental Nations Corp Ltd. Business-intelligence of Oriental Nations Corporation Ltd. provides big data and cloud platform solutions in China and internationally. The company offers cirro data database, big data governance platform, enterprise big data platform, marketing, data, and sales cloud, turning mind, turning customer service turning bot, turning composer, turning robot market turning market, large model engineering kit BONDroid factory, naked computing power platform model metal, large model training platform ModelDeck, large model inference platform ModelRT, corpus annotation management platform ModelKitchen, 5G extended and integrated pico base station, intrinsically safe 5G integrated pico base station module, 5G integrated high-power base station, 5G rapid deployment system, 5G high power CPE, Cloudiip-iMine, Cloudiip, data science cloud, and BI build. It serves communications, finance, smart mine, medical, agriculture, new retail, government, and other industries. The company was founded in 1997 and is headquartered in Beijing, China.

This dataset accompanies the research article titled:"Network-Integrated Civilian Drones: A Public Policy Framework for Smart Cities in the GCC and Egypt"It includes:- Synthesized data tables comparing UAV policies and telecom infrastructure.- Analytical models for security and regulatory integration.- A list of public domain data sources used in the study.

This dataset provides a detailed comparative analysis of technological advancements in China and Japan, covering key sectors such as Artificial Intelligence, Robotics, Telecommunications, and Clean Energy. It is a valuable resource for researchers, students, analysts, and tech enthusiasts looking to explore the technological trajectories of these two global economies.

📌 Key Features: 🔍 Technological Indicators: 📊 R&D Spending (Billion USD): Annual expenditure on research and development in both countries. 🔬 Number of Patents Filed: Total patents granted per year, showcasing innovation trends. 🌐 Internet Penetration Rate (%): Percentage of the population with internet access over time. 🤖 AI & Robotics Investments (Billion USD): Funding dedicated to artificial intelligence and robotic technologies. 🔌 Clean Energy Production (GW): Renewable energy generation capacity, including solar, wind, and hydro. 📱 5G Network Coverage (%): Percentage of the country covered by 5G infrastructure. 🏭 Industrial Automation Index: Measures the extent of automation in manufacturing and industry. 🚀 Space Exploration Milestones: Notable achievements in space technology and exploration efforts. 📡 Supercomputer Rankings: Presence in the global rankings of the fastest supercomputers. 📈 Use Cases & Applications: 🔹 Comparing China and Japan's technological growth over the decades 🔹 Analyzing global tech trends and industrial strategies 🔹 Visualizing innovation dominance across various sectors 🔹 Building predictive models for future advancements in technology 🔹 Understanding how AI, robotics, and telecom industries shape economic power

⚠️ Important Note: This dataset is designed for educational and research purposes. It is structured for easy analysis, visualization, and machine learning applications.

📊 About the Dataset

Technology adoption has been evolving rapidly, shaping industries and consumer behaviors worldwide. This dataset provides insights into global gadget consumption trends from 2015 to 2025, covering smartphones, laptops, gaming consoles, smartwatches, and 5G penetration rates.

🎯 Use Cases

• 📈 Market research & consumer behavior analysis
• 🔮 Forecasting future tech adoption trends
• ♻️ Studying the impact of e-waste generation
• 🌐 Understanding 5G penetration across different countries

📑 Column Descriptions

Techsalerator’s Business Technographic Data for Gabon: Unlocking Insights into Gabon’s Technology Landscape

Techsalerator’s Business Technographic Data for Gabon provides a comprehensive resource for businesses, market analysts, and technology vendors looking to gain insights into companies operating in Gabon. This dataset offers a detailed overview of the technology landscape, analyzing data related to technology stacks, digital tools, and IT infrastructure within Gabonese businesses.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

1. Company Name: This field lists the names of Gabonese companies featured in the dataset. Identifying these companies allows technology vendors to efficiently target their solutions and helps analysts evaluate technology adoption trends across Gabon’s business environment.

2. Technology Stack: This field provides details on the technologies and software solutions utilized by businesses, such as ERP systems, cloud computing, and telecommunication tools. Understanding the technology stack of each company is crucial for assessing their capabilities and technology needs.

3. Deployment Status: This field indicates whether technologies are currently deployed, planned for the future, or under evaluation. Such information is essential for vendors to gauge market readiness and determine where businesses are in their technological evolution.

4. Industry Sector: This field categorizes companies by the industries in which they operate, such as oil and gas, telecommunications, or logistics. Segmenting by industry helps vendors tailor their offerings to meet the specific needs of Gabon’s diverse sectors.

5. Geographic Location: This field provides the geographic location of a company’s headquarters or primary operations within Gabon. Understanding regional technology adoption patterns is key for analyzing local market dynamics and opportunities.

Top 5 Technology Trends in Gabon

1. Telecommunications Expansion: Gabon is investing heavily in expanding its telecommunications infrastructure, including the development of 4G and 5G networks. This push is designed to improve connectivity and drive digital innovation across sectors.

2. Renewable Energy Technologies: Gabon is focusing on renewable energy solutions, including hydroelectric power and solar technology. As part of its commitment to environmental sustainability, the country is adopting green technologies to reduce its reliance on fossil fuels.

3. Mobile Banking and Fintech: Mobile banking and financial technology are growing rapidly in Gabon, with businesses and consumers increasingly relying on mobile platforms for transactions, banking services, and payments. This trend is driven by Gabon’s high mobile penetration rates.

4. E-Government Initiatives: The Gabonese government is accelerating its e-government efforts to provide online services such as digital identification, public records, and other citizen services. These initiatives are aimed at improving the efficiency of public service delivery.

5. Cybersecurity: As businesses in Gabon adopt more digital solutions, the importance of cybersecurity is rising. Companies are investing in data protection, cybersecurity tools, and compliance measures to safeguard sensitive information and prevent cyber threats.

Top 5 Companies with Notable Technographic Data in Gabon

1. Gabon Telecom: A major player in the telecommunications sector, Gabon Telecom is spearheading the development of 4G and 5G networks in the country, driving innovation and connectivity across industries.

2. TotalEnergies Gabon: A leading energy company, TotalEnergies Gabon is leveraging advanced technologies to optimize its operations in oil and gas exploration, refining, and sustainable energy production.

3. Airtel Gabon: As a key telecommunications provider, Airtel Gabon is expanding its mobile and internet services, facilitating the growth of mobile banking, e-commerce, and digital communications in the country.

4. BICIG (Banque Internationale pour le Commerce et l'Industrie du Gabon): One of Gabon’s largest financial institutions, BICIG is adopting digital banking solutions, including mobile apps and online services, to meet the growing demand for digital financial services.

5. SETRAG (Société d'Exploitation du Transgabonais): Gabon’s leading rail transport company, SETRAG, is modernizing its operations with digital tools and automation technologies to enhance logistics and transportation services across the country.

Accessing Techsalerator’s Business Technographic Data

If you’re interested in obtaining Techsalerator’s Business Technographic Data for Gabon, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide a custo...

This dataset presents a network traffic captures focused on online gaming and video streaming applications, addressing key challenges in 5G research related to high throughput and low latency requirements. The dataset comprises approximately 200 hours of real-world traffic data, at around a 3:1 ratio of video streaming to online gaming traffic. It includes both local and global data, where local data refers to traffic collected in Ottawa, Ontario, Canada, and global data originates from participants across 11 mobile operators in nine countries: Canada, Egypt, Finland, Germany, Kuwait, Norway, Taiwan, the U.A.E., and the U.K. The dataset captures essential fields such as timestamps, packet length (bytes), protocols, source IP, and destination IP, with all traffic aggregated at a one-second granularity.

To enhance usability, geolocation information (country, region, city, latitude, longitude), content provider labels, and round-trip time latency (ms) measurements were integrated, providing deeper insights into application-specific traffic patterns. Data collection was conducted across multiple operating systems, including Windows, Android, and MacOS, ensuring broad platform coverage. The dataset is provided in CSV format, enabling seamless integration into various workflows.

The dataset includes network traffic from a selection of popular online games and video streaming platforms. The gaming traffic was captured from sessions of League of Legends, Teamfight Tactics, and Valorant. Meanwhile, the video streaming traffic was collected from YouTube, Netflix, Prime Video, and Crave.

The code for enhancing the packet captures can be found at: https://github.com/ahassaneinn/GAViST5G

Techsalerator’s Business Technographic Data for Pakistan: Unlocking Insights into Pakistan's Technology Landscape

Techsalerator’s Business Technographic Data for Pakistan provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Pakistan. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Pakistan, enabling technology vendors to target potential clients and allowing analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field outlines the technologies and software solutions a company uses, such as enterprise resource planning (ERP) systems, customer relationship management (CRM) software, and cloud services. Understanding a company's technology stack is key to evaluating its digital maturity and operational needs.

• Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can use this information to assess the level of technology adoption and interest among companies in Pakistan.

• Industry Sector: This field specifies the industry in which the company operates, such as textiles, pharmaceuticals, or information technology. Knowing the industry helps vendors tailor their products to sector-specific demands and emerging trends in Pakistan.

• Geographic Location: This field identifies the company's headquarters or primary operations within Pakistan. Geographic information aids in regional analysis and understanding localized technology adoption patterns across the country.

Top 5 Technology Trends in Pakistan

• E-commerce Expansion: With the growing internet penetration and mobile usage, e-commerce is booming in Pakistan. Companies are increasingly adopting online platforms and digital payment solutions to reach consumers across the country.

• Fintech Innovations: The fintech sector in Pakistan is experiencing rapid growth, driven by the need for digital payment solutions, online banking, and financial inclusion services. Companies are investing in technology to offer innovative financial products and services.

• Smart Agriculture Technologies: Agriculture being a crucial sector in Pakistan, there's a rising adoption of smart farming technologies. Solutions like precision agriculture, IoT-based monitoring, and automated systems are being implemented to enhance productivity and sustainability.

• Telecom Infrastructure Development: The expansion of telecom infrastructure is crucial for Pakistan's digital growth. Investments in 4G/5G networks, fiber-optic cables, and improved connectivity are enhancing digital access and communication capabilities.

• Cloud Computing and IT Services: Cloud-based solutions are becoming increasingly popular in Pakistan, providing businesses with scalable and cost-effective IT infrastructure. This trend is evident across various sectors including education, healthcare, and finance.

Top 5 Companies with Notable Technographic Data in Pakistan

• Habib Bank Limited (HBL): A major player in the banking sector, HBL is leveraging digital banking solutions, mobile applications, and advanced cybersecurity measures to offer modern banking experiences to its customers.

• Telenor Pakistan: A leading telecom provider, Telenor is at the forefront of expanding mobile and internet services across Pakistan, investing in 4G/5G infrastructure and digital services to enhance connectivity.

• Engro Corporation: As a diversified conglomerate, Engro is implementing advanced technologies across its various business units, including agriculture, energy, and chemicals, to drive efficiency and innovation.

• Daraz: A leading e-commerce platform in Pakistan, Daraz is utilizing a range of digital tools, from e-commerce solutions to data analytics, to optimize its online marketplace and enhance customer experience.

• PTCL (Pakistan Telecommunication Company Limited): PTCL is a key player in Pakistan’s telecom sector, focusing on expanding its broadband services, cloud solutions, and IT infrastructure to support the country’s growing digital needs.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Pakistan, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with dat...