Wireless networks have always been designed to move data. But a quiet shift is underway — one that expands the role of those same networks from passive pipes into active observers of the physical world.
This is the promise of wireless sensing: using the radio signals already flowing through our environments to detect, measure and interpret what’s happening around us, without deploying a single additional sensor.
For the broadband industry, this shift is not a distant abstraction. It is arriving now, embedded in evolving standards, new chipsets and a growing body of real-world deployments. Understanding it — and knowing where to act — matters.
What Is Sensing, and Why Does It Matter Now?
In the context of communications networks, sensing refers to the use of wireless signals to extract information about the physical environment. Rather than treating radio waves purely as carriers of bits, sensing treats their reflections, distortions and delays as data in their own right. A signal that bounces off a moving object carries information about that object’s position and speed. It can even help detect a person’s breathing rate. A signal that passes through a room and arrives slightly altered tells you something about what changed in that room.
This concept is not new; radar has operated on the same principle for decades. What is new is the infrastructure. Today, licensed cellular networks and unlicensed Wi-Fi networks blanket homes, offices and city streets with dense, capable radio hardware. The same base stations, access points and client devices that connect billions of people to the internet are now being recognized as latent sensing platforms, ready to be unlocked through software, standards and intelligent signal processing.
Three forces are accelerating this shift:
- The maturation of AI and machine learning, which can extract subtle patterns from noisy radio data
- The push toward smarter, more autonomous networks that need situational awareness to optimize themselves
- A growing market demand for passive, privacy-sensitive sensing that doesn’t rely on cameras or dedicated wearables
Sensing Over Wireless Networks
Cellular Sensing
Licensed cellular networks — including 5G NR and forthcoming 6G — offer compelling properties for sensing. Their signals cover wide areas, are tightly coordinated and operate on well-characterized spectrum with predictable propagation. The 3GPP standards body has formally recognized sensing as a use case for 5G Advanced and is actively developing it as a pillar of 6G (IMT-2030), where integrated sensing and communication (ISAC) is expected to be a defining capability.
At the physical layer, cellular sensing leverages reference signals, timing measurements and the spatial resolution enabled by massive MIMO antenna arrays. These tools allow cellular systems to localize objects, track motion across wide areas and even support vehicle-to-infrastructure sensing in mobility scenarios.
The infrastructure is operator-controlled, licensed and built for reliability — qualities that translate well into sensing applications that demand consistency and accountability.
Wi-Fi Sensing
Wi-Fi operates differently — in unlicensed spectrum, across shorter ranges and within a more fragmented device ecosystem — but it brings its own strengths to sensing. The sheer density of Wi-Fi access points in homes, offices and public spaces means that Wi-Fi sensing can achieve fine-grained coverage in exactly the environments where people spend most of their time.
Recent generations of Wi-Fi, particularly Wi-Fi 6 (802.11ax) and Wi-Fi 6E/7, provide richer channel state information (CSI), higher bandwidth and improved spatial stream management — all of which enhance sensing resolution. The IEEE 802.11bf amendment, finalized in 2025, establishes a formal framework for Wi-Fi sensing, covering ranging, motion detection and environment mapping using standard Wi-Fi hardware. We anticipate the release of Wi-Fi 8 certifications will bring a significant increase in Wi-Fi sensing product availability.
For cable operators, Wi-Fi sensing is especially relevant. The home gateway — already a managed, trusted device in the subscriber’s network — is a natural sensing platform. Presence detection, motion awareness and even fall detection for elderly residents become possible without additional hardware, powered by the access point already sitting on the shelf.
Cellular vs. Wi-Fi Sensing: Different Tools for Different Jobs
Cellular and Wi-Fi sensing share a common foundation: both exploit radio signal reflections and channel measurements to infer physical information. But they differ in ways that matter for deployment decisions.
Coverage and range depend on the environment. Outdoor coverage favors cellular — a single base station can sense across hundreds of meters, supporting vehicular, campus and wide-area applications. Indoor coverage favors Wi-Fi, where its shorter range and dense deployment translate into fine-grained spatial resolution within homes, offices and other enclosed spaces.
Accuracy and resolution are more nuanced. Wi-Fi’s higher frequency bands (especially 6 GHz and beyond) and wider channel bandwidths can deliver centimeter-level ranging accuracy in controlled conditions. Cellular sensing in sub-6 GHz bands offers robust but coarser localization over wider areas. mmWave cellular can achieve high resolution, but its limited propagation range constrains its sensing footprint. MmWave Wi-Fi will be able to achieve finger-level gesture recognition, in support of advanced VR/XR applications and IoT control.
Ecosystem maturity currently favors Wi-Fi. The 802.11bf standard is complete and legacy sensing products are already available and being deployed today. Cellular ISAC, while well-studied in research, is still in standardization phases, with commercial deployments expected further down the road.
Deployment models differ significantly. Cellular sensing is infrastructure-driven, operator-managed and suited to large-scale or outdoor use cases. Wi-Fi sensing can be deployed at the edge, within individual premises and — critically for cable operators — managed as part of an existing home networking product.
The most powerful future deployments will likely combine both. A hybrid architecture where cellular handles macro-scale awareness, and Wi-Fi provides room-level granularity offers capabilities neither technology can achieve alone.
Integrated Sensing Through Data Fusion
When cellular and Wi-Fi sensing operate in parallel, the real opportunity lies not just in using each for what it does best — but in fusing their outputs into a unified, richer picture of the environment. Sensing data fusion is the process of combining measurements from multiple radio sources, each with different spatial coverage, frequency characteristics, temporal resolution and sensing modalities, to produce inferences that no single source could reliably generate on its own.
Consider a practical example. A Wi-Fi access point in a home can detect motion and identify internal intrusions — an unauthorized presence inside the building envelope. But threats do not always originate indoors. A cellular sensing layer, operating at outdoor ranges and with sensitivity to aerial motion signatures, can extend that awareness beyond the walls of the home to detect drone activity in the surrounding airspace. Fused together, the two systems provide a layered security picture: Wi-Fi handles interior awareness with room-level granularity, while cellular contributes perimeter and aerial coverage.
Fusion can operate at multiple levels:
- At the signal level, raw channel measurements from both systems — CSI matrices, RSSI trajectories, timing advance values — are combined before feature extraction, maximizing the richness of the input data.
- At the feature level, independently extracted features from each sensing modality (e.g., motion signatures from Wi-Fi, range estimates from cellular) are jointly processed.
- At the decision level, separate inferences from each system are merged using confidence weighting or ensemble methods, offering a more pragmatic integration path when the underlying systems are managed by different entities.
Underpinning all of this is a significant computational challenge. Fusing high-rate sensing streams from both Wi-Fi and cellular sources generates substantial data volumes that must be processed quickly and in the right place. Latency-critical applications like intrusion detection demand on-device or edge processing, while heavier analytical workloads are better suited to the cloud. A well-designed converged sensing architecture must distribute computation intelligently across all three tiers, balancing responsiveness, bandwidth efficiency and privacy.
For the cable industry, this multi-layer fusion architecture has direct relevance. Cable operators managing both a home Wi-Fi gateway and, in integrated fixed-mobile scenarios, a relationship with cellular infrastructure are uniquely positioned to aggregate sensing data across both domains. This creates the foundation for an integrated sensing platform — one that can deliver higher-confidence inferences about presence, motion and environmental state than either technology offers in isolation, while also providing graceful degradation when one sensing modality is unavailable or obstructed.
Use Cases: From Network Intelligence to Human-Centered Applications
Wireless sensing unlocks value across a spectrum of applications.
- Network-centric use cases are among the most immediately actionable. Operators can use sensing data to monitor network performance, detect infrastructure anomalies and build dynamic maps of device density and interference. A base station that can sense traffic patterns in a stadium or a gateway that detects how many devices are active in a home can optimize spectrum allocation and beam management in real time — turning physical awareness into network efficiency.
- Consumer and enterprise applications extend the value outward. In the home, Wi-Fi sensing enables presence detection, sleep monitoring, gesture control and fall detection — all without cameras or body-worn devices. In enterprise settings, motion awareness and occupancy sensing can drive smart building automation, energy management and security applications. These are markets where cable operators, as managed service providers in the home and increasingly in the enterprise, are well positioned to compete.
- Hybrid and complementary scenarios represent the longer-term frontier. Emergency response coordination, smart city infrastructure management and seamless indoor-outdoor tracking are applications where cellular and Wi-Fi sensing, fused through an integrated access architecture and unified by data fusion, could deliver capabilities that are genuinely new — not just improvements on existing systems. A fused sensing layer that spans the boundary between indoor Wi-Fi coverage and outdoor cellular coverage, for example, enables continuous presence and motion tracking as a person moves through a building, into a parking structure and onto a street — a continuity of awareness that neither system can sustain independently.
Privacy, Trust and Responsible Sensing
A note on privacy: sensing by its nature infers information about people and their behaviors. As these capabilities mature, the industry will need to develop clear frameworks around consent, data minimization and on-device versus cloud processing. These are not obstacles to adoption — they are design requirements, and addressing them proactively will be a competitive differentiator for responsible operators.
Overall, what sensing offers is no different from any existing solution (e.g., security cameras, IR motion sensors), and we have existing methods of dealing with security and privacy concerns. The biggest hurdle will be managing customer perception and helping them be comfortable with the technology.
CableLabs’ Role and the Road Ahead
CableLabs sits at an important intersection in this landscape. As the R&D engine for the cable industry, CableLabs is actively exploring how sensing technologies can be integrated into cable access networks — from DOCSIS® technology-connected home gateways to integrated fixed-mobile architectures. The home gateway, managed at scale by cable operators and already a hub for Wi-Fi connectivity, is a particularly compelling sensing platform — and one that the industry is uniquely positioned to deploy responsibly.
Looking further ahead, the development of standardized sensing data fusion frameworks — defining how Wi-Fi and cellular sensing measurements are represented, shared and jointly processed across operator domains — is an area where CableLabs can contribute meaningfully to the broader industry architecture.
The alignment with broader CableLabs technology priorities is clear. Sensing supports the AI-native network vision by feeding real-time environmental data into network optimization loops. It connects to the 6G roadmap through ISAC standardization at 3GPP. And it fits naturally within the Platform Evolution framework as a capability that can be delivered as a service across an integrated access infrastructure.
The road ahead involves collaboration — across standards bodies, device vendors and operator communities — to define interoperability profiles, privacy architectures and deployment best practices. CableLabs is engaged in that work, and the cable industry has both the network assets and the operator relationships to play a leading role in bringing wireless sensing from the lab to the living room.
The networks are already there. The signals are already flowing. The question now is how intelligently we choose to listen.
If you’re working on sensing technologies, exploring ISAC integration or thinking about how broadband infrastructure can support new sensing-driven services, we want to hear from you. If you’re a member, consider joining the CableLabs 3GPP Working Group for cellular sensing. You can also reach out to Josh Redmore for more information about Wi-Fi sensing and how you can get involved.
