6G Wireless Sensing

Description

6G Wireless Sensing is a system feature of the 6G network that provides capabilities to obtain information about characteristics of the environment and/or objects within the environment using radio frequency signals. The characteristics that can be sensed include shape, size, orientation, speed, location, distances, and relative motion between objects. This concept is defined in 3GPP TR 22.870, the study on 6G use cases and service requirements, and represents a fundamental expansion of the role of cellular networks from pure communication to joint communication and sensing.

Architecturally, wireless sensing leverages the same radio infrastructure used for communication — base stations, transmission points, and potentially UEs — to transmit and receive signals whose reflections, scattering, and Doppler shifts reveal information about the physical world. The sensing process can be monostatic, where a node transmits and receives its own echo, bistatic, where one node transmits and another receives, or multistatic, where multiple nodes cooperate. In a 6G system, the network coordinates these sensing operations, schedules sensing waveforms alongside communication traffic, and processes the received signals to extract measurements.

The processing chain typically involves several stages. First, sensing signals are transmitted, either as dedicated waveforms or as opportunistic use of communication signals. Second, reflected and scattered signals are received at one or more sensing receivers. Third, raw radio measurements such as time of arrival, angle of arrival, Doppler shift, and received power are extracted. Fourth, these measurements are fused across multiple receivers and multiple transmissions to estimate object properties and environmental characteristics. Fifth, the sensing results are exposed to authorized consumers, which may be network functions, applications, or external third parties.

Key components include sensing-capable radio units, a sensing coordination function that schedules and manages sensing tasks, a measurement and fusion engine that converts radio observations into sensing results, and an exposure function that delivers results with appropriate privacy and authorization controls. The feature also interacts with positioning, since many sensing measurements can improve location accuracy, and with security, because sensing data can reveal sensitive information about people and premises.

6G Wireless Sensing matters because it enables new services such as intrusion detection, traffic monitoring, health monitoring, gesture recognition, and environmental mapping without requiring additional sensors or cameras. By integrating sensing into the cellular system, 3GPP enables operators to offer sensing as a service, supports new vertical applications, and creates synergies between communication and perception that are essential for autonomous systems and digital twins.

Purpose & Motivation

6G Wireless Sensing exists to make the cellular network a source of environmental and object information, not just a conduit for data. Before this concept, sensing was the domain of dedicated systems such as radar, lidar, and cameras, each with its own infrastructure, spectrum, and cost. Cellular networks transmitted and received radio signals but discarded most of the information those signals carried about the physical environment.

The motivation for integrating sensing into 6G is to reuse the massive investment in cellular infrastructure and spectrum for perception tasks. This addresses several limitations: dedicated sensors are expensive to deploy and maintain, they often have limited coverage, and they cannot easily share data with communication systems. By contrast, a cellular network already has wide coverage, precise timing, and coordinated multi-node operation, all of which are valuable for sensing.

Standardizing wireless sensing in TR 22.870 provides a common framework for requirements, privacy, and performance, ensuring that sensing capabilities can be offered consistently and responsibly. It also enables new business models where operators provide sensing-as-a-service to verticals such as transportation, security, and healthcare, while addressing concerns about unauthorized surveillance through explicit authorization and privacy mechanisms.