Until now, a base station has been equipment for transmitting and receiving data. In the era of sixth-generation mobile communications (6G), however, radio waves will also read the locations, movements, and shapes of people and objects. The basis of competition is expanding from “How fast can a network connect?” to “How accurately and safely can it understand the physical world?”

* The defining change in 6G is not simply greater speed but a broader role. The network is evolving from a conduit that carries data into industrial infrastructure that senses the physical world.

* Integrated sensing and communication uses the same radio signals and infrastructure for both connectivity and sensing. Factories, roads, and logistics centers can perceive spatial changes without endlessly adding separate sensors.

* The first market is likely to be closer to industrial sites than to smartphones. Investment will begin where sensing results translate immediately into economic value, including safety, automation, and quality control.

* A network that can see also assumes new responsibilities. Accuracy, consent, purpose limitation, data retention, and liability for mistakes must be addressed from the design stage.

* The winner in 6G may not be the company that merely builds the best base-station equipment. Leadership will go to the ecosystem that combines radio technology, artificial intelligence, spatial data, and industrial operations into one service.

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Imagine a logistics center late at night. A base station mounted near the ceiling sends work instructions to an automated guided vehicle, while the same radio wave strikes vehicles, walls, and cargo before returning. By analyzing changes in the reflected signal’s timing, angle, and strength, the network estimates whether a person has entered an aisle, whether a pallet has shifted out of place, and how quickly a vehicle is approaching. A signal intended for communication is simultaneously acting like radar.

This is integrated sensing and communication (ISAC). Conventional mobile communications has focused on delivering information accurately to its destination. ISAC, by contrast, turns the traces that radio waves leave while traveling through an environment into information. Its scope expands beyond identifying the location of a connected device toward detecting the presence and movement of objects that may not carry a communications device at all.

The International Telecommunication Union (ITU) has identified ISAC as one of the six representative usage scenarios for International Mobile Telecommunications 2030 (IMT-2030). If 5G was described through the language of enhanced speed, ultralow latency, and massive connectivity, 6G combines those features with sensing, artificial intelligence, sustainability, and ubiquitous connectivity. This is why 6G is described not merely as a generational upgrade but as a project that redefines the network’s job.

This change is likely to be felt first in the way physical spaces operate rather than on a mobile-phone screen. Today’s network map shows where signals are strong and how many devices are connected. Once ISAC is implemented, that map can be overlaid with physical conditions such as vehicle flows, changes in building occupancy, machine vibrations, and drone flight paths. A network operations center can expand from a place that manages communications status into a situation room that reads changes across cities and industrial sites. What operators sell will also shift from data capacity toward the “ability to understand space.”

The value of ISAC becomes clearer first in a factory than in a scene where a consumer downloads a movie a few seconds faster. Workers near a press, robot arms in motion, and forklifts crossing an aisle can each be managed with cameras, lidar, and tags. Yet as the number of sensors grows, installation and maintenance costs rise, and synchronizing the different views produced by different devices becomes more complicated.

When a communications network incorporates sensing, existing wireless infrastructure becomes another layer of observation. For example, even when a robot moves behind a partition and disappears from a camera’s view, radio reflections can help track its movement; if a person approaches a hazardous zone, the network can send a stop signal to the equipment. Long-term comparison of subtle vibrations or changes in object placement can also support the early detection of equipment anomalies or inventory movement. The 18 use cases compiled by the European Telecommunications Standards Institute (ETSI) include industrial robotics, human-motion recognition, emergency rescue, and in-vehicle sensing.

This does not mean that cameras will disappear. Radio sensing has advantages under poor lighting, smoke, and some forms of obstruction, but its accuracy varies with material, frequency, and spatial structure. At early deployment sites, the practical approach will therefore be to cross-check its results with cameras, lidar, and inertial sensors. ISAC is less a technology that sees everything with a single sensor than a shared infrastructure that fills gaps between multiple sensors and lowers management costs.

Consider an automotive assembly line. Vehicle bodies change position and orientation at each stage, while people and robots move through the same space. Cameras can be affected by glare from metal surfaces or welding sparks, and they lose sight of a worker who moves behind equipment. If sensing information from a base station supplements a camera’s blind spots, a safety system can use one signal to verify what another sensor missed. During finished-product inspection, the network may also detect subtle differences in the positions of a vehicle body and its components, helping select units that require closer examination. The network becomes less a brain that directly commands production than a nervous system that carries the site’s pulse so the brain can make better decisions.

On the road, simultaneous connectivity and sensing can directly shorten response times. Imagine that a network near an intersection sends traffic-signal information to vehicles while also sensing the movement of pedestrians, bicycles, and stopped cars. If it then distributes the sensing results to vehicles and traffic-control systems, it creates a shared situational map that extends beyond the field of view of any one vehicle. The value becomes especially significant in blind spots, such as the area behind a large truck, that an individual camera cannot see.

The same principle applies in warehouses. Today, confirming the location of a pallet usually requires reading a barcode or radio-frequency identification tag, or analyzing camera footage. An ISAC-based system can use reflected communication signals to estimate object movements, aisle occupancy, and robot approaches together. Radio waves alone may not identify the exact type of inventory, but rapid detection that “something moved” or “an aisle is blocked” can prompt an operating system to order a verification step.

Disaster sites are another important testing ground. Researchers are exploring ways to detect human movement or subtle changes related to breathing where smoke and darkness constrain video, while supporting rescuers’ communication and positioning through the same network. The essential requirement here is not a spectacular demonstration but reliability. A service that affects life and safety becomes industrial infrastructure only after false positives, missed detections, latency, and fallback procedures during failures have all been validated.

Outside cities, the combination of terrestrial and satellite networks creates another set of possibilities. If satellites, drones, and temporary base stations can restore communications while sensing terrain changes and moving objects in areas where wildfire or flooding has damaged ground facilities, rescue teams need not wait for a separate observation network to be completed. At ports, communications infrastructure could monitor ships and containers; along coasts, it could help watch small vessels or drones approaching restricted areas. Yet the ability to observe a wide area is not the same as the ability to identify a particular target accurately. As sensing coverage expands, operating rules governing what qualifies as an alert and who verifies it on site become increasingly important.

When a communications network assumes sensing as well as connectivity, the economics change. A company may reduce separate radar units, wiring, and management servers, while a telecommunications operator may move beyond selling connections to offering spatial-sensing services. A building operator may adjust heating and cooling based on occupancy and movement. A port may monitor cranes and cargo in real time. An insurer may try to make risk data a new basis for assessment.

The moment a network acquires “eyes,” however, the boundaries of privacy also begin to shift. It is not enough to assume that the absence of a camera makes a system less intrusive. If radio waves can infer a person’s presence, posture, movement, and in some cases subtle activity such as breathing, people may not even realize that they are being observed. In a 2026 report, ETSI identified unauthorized sensing, data confidentiality, human privacy, artificial intelligence (AI)-based processing, and the secure handling of sensing data among the central challenges.

The design questions for ISAC therefore do not end with “What can be sensed?” Decisions are required about who may request sensing and for what purpose, whether raw reflection data or only results should be retained, whether those results may be combined with other data, and how people can express their refusal to be sensed. Industrial sites also cannot avoid the issue of workplace surveillance. Location checks intended for safety and behavioral tracking intended for productivity assessment may be technically similar, but socially they are entirely different acts.

The issue becomes more sensitive in living spaces such as apartments and offices. Detecting occupancy to turn off the lights in an empty meeting room and recording how long a particular employee is away from a desk can originate from the same technology. A service that detects an older resident’s fall may be a safety net for the family but feel like constant observation to the resident. Sensing functions therefore need to bundle default settings, visible notices, access rights, and retention periods into one design. Options include deciding whether an event occurred locally without sending raw signals to an external server, or retaining only statistics that do not identify individuals. Trust in the technology will come not from its ability to collect more, but from the restraint to avoid preserving unnecessary information.

Commercial 6G deployment remains in the future, but the standards race has already begun. The 3rd Generation Partnership Project (3GPP) has studied channel models for ISAC in Release 19, creating a bridge toward 6G. ETSI has expanded the discussion beyond use cases to system and radio access network (RAN) architecture, sensing-service control, data collection and processing, charging, and the exposure of sensing results.

What is being determined is not merely a set of wireless-performance figures. The process will define the format used to send a sensing request, where results obtained by multiple base stations are combined, and what levels of accuracy and latency an operator guarantees to an industrial customer. If different equipment vendors express coordinates and confidence in incompatible ways while observing the same factory, a service will be difficult to scale. Standards are the grammar that allows sensing data to circulate inside industrial systems.

Business models will also divide along the lines of this grammar. The value chain changes depending on whether an operator provides raw data, offers only event information such as “person approaching” or “obstacle detected,” or sells decisions produced in combination with industrial AI. Equipment manufacturers, cloud companies, robot makers, mapping providers, and cybersecurity companies all enter this boundary. If subscriber count was the telecommunications industry’s long-standing question, the ISAC-era question becomes: Who interprets the state of physical space, and who is responsible for the result?

Digital twins provide a powerful point of connection. A digital twin of a factory or port replicates real equipment and logistics flows in a virtual space, but if its inputs arrive late or contain errors, even a sophisticated display remains a model of the past. When ISAC continuously supplies changes in location and movement, the digital twin can stay closer to the present. Operators can test altered traffic flows before stopping a production line and experiment with robot placement before a warehouse bottleneck develops. The economic value arises less from sensing data itself than from the downtime, accidents, and energy costs avoided through that data. This is why the business case for 6G should be measured not only in throughput per second but in “losses prevented” and “decisions accelerated.”

Korea’s strength lies in the concentration of mobile networks, semiconductors, automobiles, shipbuilding, and manufacturing sites. Yet if 6G competition is defined only by peak transmission speed and equipment market share, the business opportunity in ISAC may be missed. Customers are not purchasing sensing for its own sake. They are purchasing operational results such as fewer collisions, prevention of equipment downtime, more accurate inventory, and lower energy consumption.

The most realistic starting point is a controllable industrial space. Results from existing sensors and ISAC should be compared on one smart-factory line, in a designated port area, or along a single logistics-center aisle, with costs and false-alarm rates disclosed. Scale will emerge only when data from multiple sites can then be connected in a common format. Instead of demonstrations run only by operators and equipment vendors, manufacturers, robotics companies, safety experts, and worker representatives need to define performance and acceptable boundaries together.

Another challenge is the design of rights over sensing data. Who owns reflection data generated inside a factory: the operator or the factory owner? Who may inspect inferences about workers? When an error in an AI model causes a robot to stop?or fail to stop?where does liability fall? If contracts, regulation, and audit systems answering these questions lag behind technological development, the market’s cost of trust will rise.

Corporate adoption strategies also need to proceed in stages. The first step is to select one or two problems with clear value and outcomes that people can verify, such as collision risks or aisle occupancy. The next is to compare conventional sensors and ISAC on the same scorecard for accuracy, latency, installation cost, and maintenance cost. Only in the final stage should automated commands be connected to production and safety-management systems. A plan to read every space in real time from the beginning increases both cost and surveillance concerns. Demonstrating benefits and limitations together at a small site is the fastest route from a technology showcase to an actual purchase.

The most intuitive image of the 6G future is not a download-speed gauge. It is a base station transmitting a signal while reading how that signal returns and understanding changes in factories, roads, and buildings in real time. When the connectivity network becomes a sense organ, industry can respond faster. At the same time, society must decide who may turn that sense on or off and how far it may see. The real competition in 6G integrated sensing and communication begins not with technology that sees more, but with the ability to see what is necessary accurately and make the resulting judgment worthy of trust.

International Telecommunication Union, Recommendation ITU-R M.2160-0: Framework and Overall Objectives of the Future Development of IMT for 2030 and Beyond, 2023

3rd Generation Partnership Project, RAN Rel-19 Status and a Look Beyond, 2025

European Telecommunications Standards Institute, ETSI GR ISC 001 V1.1.1: ISAC Use Cases and Deployment Scenarios, 2025

European Telecommunications Standards Institute, ETSI GR ISC 003 V1.1.1: 6G ISAC System and RAN Architectures, 2026

European Telecommunications Standards Institute, Report on 6G ISAC Security, Privacy and Sustainability, 2026