Private Network Check Readiness - TeckNexus Solutions

Nokia unveils first CE-certified 5G automated drone-in-a-box solution for secure, reliable public sector and industrial operations

Nokia first to offer CE-certified turnkey automated drone solution, connected over 4G/LTE and 5G, including drones with dual gimbal camera, docking station, and edge data processing.
Use of Nokia Drone Networks docking station enables 24/7 fully remote drone operations and charging.
Open API framework allows integration of third-party applications for extensive customization of the solution to expand use cases and capabilities.
5G drone coverage and challenges - TeckNexus

Nokia today revealed it is the first to offer a CE-certified, turnkey drone-in-a-box solution, designed to meet the growing demands of organizations including public safety agencies, smart cities, construction, energy and defense. CE-certified to meet safety requirements of the European Union, the Nokia Drone Networks solution connects over public and private 4G/LTE and 5G networks to enhance situational awareness for first responders and other professionals.


The solution is manufactured in Europe and comprises Nokia drones, docking station, dual gimbal camera and edge cloud processing using Nokia MX Industrial Edge (MXIE). By connecting over public and private 4G/LTE and 5G networks, customers will benefit from the highest reliability. Using cellular connectivity technologies also offers higher data rates and lower latency enabling more data to be streamed than over Wi-Fi. Beyond visual line of sight (BVLOS) operations with real-time kinetic (RTK) positioning improves situational awareness. Dual modem connectivity allows Nokia drones to simultaneously connect to multiple networks, complying with system redundancy that is commonly required by aviation regulatory bodies.

The Nokia Drone Networks solution can be operated remotely for search and rescue activities, and to assess damage in a hazardous environment. Nokia drones can also be programmed to manage autonomous scheduled flights for applications like additional security at large events or to manage regular remote equipment inspections. The docking station protects the drone and payload, such as the sensor devices or dual gimbal camera, from external hazards and harsh weather while it remotely charges the drone to prepare for the next flight.

When used in conjunction with Nokia MXIE, data from Nokia drones can be collected and processed in real time at the edge cloud. An open API framework allows agencies and enterprises to onboard pre-integrated Nokia and third-party applications and systems and take advantage of a growing number of compelling public safety and Industry 4.0 use cases for drone automation, including object identification, tracking and network measurements

Nokia and the New York Power Authority have already demonstrated the use of the Nokia Drone Networks solution, connected over private LTE, for transmission line inspection.

Thomas Eder, Head of Embedded Wireless Solutions at Nokia, said: “Our mission is to reshape the industrial UAV (unmanned aerial vehicle) market, providing enhanced situational awareness to aid search and rescue, surveillance, and other UAV operations in a wide variety of industries. Nokia Drone Networks has been designed to comply with the remote operation requirements of aviation regulatory bodies such as EASA in Europe and FAA in the United States. This will help us address growing market demands as a turnkey provider with a solution designed and produced in Europe. The unique feature set enabling the integration of Nokia drones with third-party applications will aid the transformation of the drones, allowing them to be used as a flying data collection platform leveraging reliable 4G and 5G edge cloud connectivity.”

Depending on the deployed configuration, Nokia drones offer more than 50 minutes of flight time and cover distances of more than 30 km due to the unique hardware architecture, integrated software innovations and the 4G/5G connectivity.

The solution will be featured at Nokia booth J60 during Critical Communications World in Helsinki, 23-25 May 2023.

Source: Nokia Press Release


Recent Content

Verizon Business and Nokia will deploy six private 5G networks across Thames Freeport’s major logistics sites, including the Port of Tilbury, London Gateway, and Ford Dagenham to create a high-performance digital infrastructure supporting real-time logistics, AI automation, and edge computing. With plans to generate 5,000 skilled jobs and power sustainable trade, this initiative positions Thames Freeport as a next-gen smart trade corridor.
Hrvatski Telekom’s NextGen 5G Airports project will deploy Private 5G Networks at Zagreb, Zadar, and Pula Airports to boost safety, efficiency, and airport automation. By combining 5G Standalone, Edge Computing, AI, and IoT, the initiative enables drones, smart cameras, and AI tablets to digitize inspections, secure perimeters, and streamline operations, redefining aviation connectivity in Croatia.
Edge AI is reshaping broadband customer experience by powering smart routers, proactive troubleshooting, conversational AI, and personalized Wi-Fi management. Learn how leading ISPs like Comcast and Charter use edge computing to boost reliability, security, and customer satisfaction.
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
Telecom engineers know OSS systems aren’t broken—they just pretend to work. Outdated data, broken integrations, and overwhelming alerts create false confidence and slow operations. Discover how VC4’s Service2Create delivers real-time, trusted inventory and smarter workflows that engineers can actually rely on.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025