Ericsson Unveils 5G Drone Tracking Architecture Ahead of 2027 Commercial Trials

Ericsson has introduced a new network-based sensing architecture designed to detect and track low-flying drones using existing 5G cellular infrastructure. The Swedish telecommunications company unveiled the Integrated Sensing and Communication (ISAC) system in early November 2026. It aims to turn standard mobile networks into a radar-like grid.[4]

The technology allows mobile operators to locate moving objects in the sky even if those aircraft are not connected to the cellular network. By analyzing how 5G radio waves bounce off physical objects, the system can identify the presence and trajectory of drones. This addresses a major airspace blind spot.

Despite Ericsson describing the announcement as a commercial launch, the system is not yet actively tracking drones in live public networks. The company stated that selected commercial pilots with telecom operators are scheduled to begin in 2027. Wider, large-scale deployments are currently planned for 2028.[3][6]

Ericsson’s November 1 press release detailed the commercial launch of the ISAC system, though the company did not provide direct executive quotations regarding specific detection ranges or latency metrics. The announcement instead focused on allowing customers to monetize their existing network investments through new value-added services.[4]

Repurposing the 5G Grid

The ISAC architecture relies on a concept known as bi-static sensing, which separates the transmitter and receiver. When a 5G base station transmits a standard communication signal, a portion of that radio frequency energy reflects off nearby physical objects. A neighboring cell tower then receives those scattered reflections.[4]

By measuring the time delay, Doppler shift, and angle of the returning signals, the network's backend software calculates the object's position, speed, and direction. This process happens continuously, creating a real-time tracking map of the local airspace. It effectively transforms standard telecom hardware into a distributed radar network.

Crucially, this method tracks "dark" drones—unmanned aerial vehicles that are not broadcasting a remote ID or connected to the cellular network. Traditional tracking relies on the drone actively transmitting its GPS coordinates. Ericsson’s passive sensing approach detects the physical chassis of the aircraft regardless of its communication status.

The system operates within the existing mid-band Time Division Duplex spectrum, typically between 3.3 GHz and 3.8 GHz, which most global operators currently use. Because it utilizes the same frequencies already licensed for mobile broadband, telecom companies do not need to acquire new spectrum rights to deploy the sensing capability.[6]

However, processing these reflections requires significant computational power at the edge of the network. The ISAC system demands advanced baseband processing to filter out environmental clutter, such as birds, swaying trees, and tall buildings. Distinguishing a small commercial drone from a large bird remains a complex signal-processing challenge.[1][2]

The Airspace Management Bottleneck

As commercial drone operations expand into logistics, infrastructure inspection, and emergency response, managing low-altitude airspace has become increasingly difficult. Aviation authorities globally are struggling to integrate thousands of small, low-flying vehicles into airspace traditionally reserved for manned aircraft. Visibility is the primary hurdle.[5]

Current drone detection systems typically rely on localized, purpose-built hardware. Airports and critical infrastructure facilities install dedicated radar arrays, acoustic sensors, or optical tracking cameras. These localized solutions are highly effective but prohibitively expensive to scale across entire cities or vast rural areas.

Ericsson argues that leveraging the existing cellular grid offers a more scalable and cost-effective alternative. Because telecom operators have already deployed millions of 5G base stations globally, the physical infrastructure for a wide-area sensing network is largely in place. The ISAC system essentially acts as a software overlay.[4]

AI

The ability to detect unconnected drones using the existing mobile network infrastructure is viewed as a significant security upgrade. National security agencies and local law enforcement are increasingly concerned about unauthorized drone flights over sensitive areas, making wide-area detection a high priority for government stakeholders.[1]

Yet, the actual effective range of this cellular sensing remains a critical unknown. While a dedicated military radar can spot an aircraft from miles away, 5G mid-band signals degrade quickly. The detection radius around a single cell tower is likely limited to roughly 500 to 800 meters, requiring dense network topologies.[1]

Monetizing the 5G Investment

For telecommunications operators, the ISAC architecture represents a potential new revenue stream. The global telecom industry has spent hundreds of billions of dollars acquiring 5G spectrum and upgrading cell towers over the past five years. However, consumer willingness to pay a premium for 5G data has largely stalled.[2][3]

Operators are actively searching for enterprise use cases to justify their massive capital expenditures. By offering drone detection as a service, telecom companies could sell airspace monitoring data to aviation authorities, logistics companies, and law enforcement agencies. This shifts their business model from selling bandwidth to selling situational awareness.[5]

The 2027 commercial pilots will test this exact business model. Ericsson has not yet disclosed which specific telecom operators will participate in the initial trials. The success of these pilots will depend heavily on whether the sensing data is accurate enough to meet strict aviation safety standards.[3][6]

There are also significant regulatory hurdles to clear before wide-scale deployment in 2028. Aviation regulators must validate the reliability of cellular-based sensing before integrating it into national airspace systems. They require rigorous proof that the system will not produce dangerous false positives or drop tracking data unexpectedly.[1]

Furthermore, the continuous scanning of the physical environment raises novel privacy questions. If a cellular network can track a drone, it can theoretically track other moving objects, including vehicles and potentially individuals. Telecom operators will need to establish strict data governance frameworks to ensure the sensing data is not misused.[2]

The Path to 6G Standards

Ericsson’s ISAC announcement is also a strategic positioning move ahead of the next generation of wireless technology. Integrated sensing and communication is widely considered a foundational pillar of the upcoming 6G standard. By introducing these capabilities into 5G Advanced, Ericsson is establishing an early foothold in the sensing market.[4]

The 3rd Generation Partnership Project, the global organization that develops telecommunications protocols, is currently standardizing sensing features for future network releases. Ericsson’s proprietary ISAC architecture will likely serve as a blueprint for these broader industry standards. The company is pushing to ensure its patents are central to the final specifications.

Competitors are also heavily investing in network-based sensing research. The race to commercialize these features is accelerating as the telecom equipment market faces a broader slowdown in traditional hardware sales. Sensing offers a rare growth vector in a mature industry, prompting aggressive development timelines across the sector.[1]

Ultimately, the 2027 trials will reveal whether the physics of 5G sensing can match the marketing promises. While the concept of a ubiquitous, cellular-based radar grid is compelling, the real-world execution involves overcoming immense signal processing and regulatory challenges. The transition from a communication network to a sensing network has only just begun.[3][6]

Edge Computing Requirements

The technical demands on the network infrastructure cannot be understated. To achieve the low latency required for real-time tracking, operators will need to deploy edge computing nodes closer to the cell towers. Sending raw reflection data back to a centralized cloud server would introduce too much delay for tracking fast-moving drones.[2][5]

AI

This requirement for edge computing infrastructure adds a hidden cost to the deployment. While Ericsson emphasizes that the ISAC system uses existing radio hardware, the backend processing upgrades will require significant capital investment from the operators. The business case must be strong enough to justify these additional server deployments.[1]

As the 2027 pilot phase approaches, the industry will be watching closely to see how the system performs in dense urban environments. Cities present the hardest test case, with complex signal reflections bouncing off glass skyscrapers and moving traffic. If Ericsson can successfully filter this urban noise, the architecture could redefine airspace management.[6]