IN Brief:
- Nokia and NestAI are integrating deployable 5G, battlefield software, and distributed sensing for denied environments.
- Radio-network models will become part of mission planning, allowing connectivity gaps to be assessed before deployment.
- The programme advances European-developed command, communications, and sensing technology for NATO operations.
Nokia and Finnish defence AI company NestAI are combining deployable 5G infrastructure, battlefield software, radio-network planning, and distributed sensing within systems designed to operate when fixed communications are unavailable or under electronic attack.
The collaboration is the first operational output from a partnership established alongside Nokia and Finnish state investor Tesi’s €100 million joint investment in NestAI in November 2025. Nokia’s defence communications portfolio will be integrated with NestOS, an adaptive operating environment developed by NestAI for command, autonomous systems, mission planning, and battlefield data.
By connecting Nokia’s deployable 5G networks with NestOS, the partners intend to support command and control without relying entirely on permanent communications infrastructure. Mobile command posts, sensors, autonomous platforms, and dispersed units could be connected through locally established networks, allowing information to continue moving when public networks, satellite links, or fixed military systems are degraded.
Radio-network planning models will also be incorporated into NestOS, bringing expected coverage into the operational planning process. Terrain, antenna position, platform movement, interference, and the location of network equipment can be assessed alongside routes, sensor deployment, and force movements, while network plans can be altered as operational conditions change.
A third area of development combines Nokia’s integrated sensing and communications technology with NestAI’s multisensor tracking. Communications infrastructure could contribute to threat detection while information from radar, electro-optical, radio-frequency, and other sensors is fused into a wider operating picture.
Related work with the Finnish Border Guard is connecting patrol vehicles, boats, sensors, and command systems within a counter-drone network. Both programmes place communications inside the operational architecture, rather than treating the network as a separate service beneath the sensors and effectors.
As military platforms generate more information at the tactical edge, the ability to process and exchange data locally becomes increasingly constrained by bandwidth, latency, terrain, and electronic warfare. Electro-optical payloads, radar, electronic-support receivers, autonomous vehicles, and uncrewed aircraft can produce more information than contested links can transport continuously to a distant headquarters.
Deployable private networks provide a route for filtering, processing, and fusing more of that information near the point of collection. They can also offer a common transport layer between equipment from different suppliers, although useful interoperability depends on controlled interfaces, spectrum management, identity services, ruggedised hardware, and network-management tools that can be used without a large specialist team.
Coverage modelling adds engineering discipline to a part of mission planning that can otherwise rest on broad assumptions. Hills, buildings, foliage, antenna height, moving platforms, interference, and deliberate jamming can alter radio performance sharply, while an autonomous platform that leaves usable coverage may lose access to updated tasking, navigation corrections, or sensor data.
Integrated sensing and communications extends the role of deployed radio equipment further by extracting information about objects or movement from the electromagnetic environment used for networking. A shared infrastructure could provide an initial layer of awareness without requiring a separate sensor at every location, although communications performance must remain stable while sensing functions consume spectrum, processing capacity, and power.
Multisensor fusion will have to distinguish useful indications from clutter, reflections, interference, and deliberate deception. Timing, location accuracy, sensor calibration, and confidence scoring determine whether detections from different systems can be combined reliably, while data provenance becomes essential when automated software is prioritising alerts or guiding autonomous platforms.
Cybersecurity extends across encryption, authentication, software updates, model control, cryptographic keys, and the interfaces connecting autonomous assets to the network. Systems deployed in denied environments must also recover cleanly from interrupted links and continue operating within defined limits when remote services or centralised data are unavailable.
Nokia and NestAI are developing the combined capabilities around European technology and NATO operational requirements. Field trials will need to demonstrate that command, sensing, and autonomous functions remain usable under congestion, movement, interference, and active electronic attack, where resilient connectivity depends on the behaviour of the complete system rather than any single radio.
