Foundation: range from delay, velocity from Doppler
The physics is old and exact. Transmit a pulse; if it reflects off an object at distance R, the echo returns after a round-trip delay τ = 2R/c. Measure the delay, recover the range. If the object is moving, the echo's frequency is shifted by the Doppler effect, proportional to its radial velocity. A radio that can measure delay and frequency precisely — which a wideband OFDM system can — is already a radar.
Range comes from round-trip time-of-flight; radial velocity from the Doppler frequency shift of the echo. Range resolution improves with bandwidth, which is one reason sensing pairs naturally with 6G's wide upper-mid-band and sub-THz channels. This is established radar theory, reused — not invented for 6G.
arxiv.org — ISAC architecture 2025-08 secondaryWhere it stops being simple
Both the ITU-R IMT-2030 framework and 3GPP's Stage-1 study (TR 22.870) name integrated sensing and communication as a target 6G capability — covering use cases from intrusion detection and traffic monitoring to gesture and environment mapping.
3gpp.org — TR 22.870 2026-03-13Open design questions: monostatic (transmit and receive at one node) vs bistatic/multistatic (separate nodes) sensing; whether to reuse the communication waveform unchanged or add sensing-friendly shaping; how to schedule sensing without starving data; and how results flow through the architecture. Early study work leans toward reusing OFDM with a monostatic option, but nothing is decided.
arxiv.org 2025-08 secondaryWideband OFDM — 6G's baseline — supports accurate delay and Doppler estimation, which is exactly why "reuse the comms waveform for sensing" is plausible rather than fanciful. The continuity argument from the radio page applies here too.
ranbits — 6G radio physical layer 2026| Mode | TX and RX at | Self-interference | Sync requirement | Typical use cases | 6G study direction |
|---|---|---|---|---|---|
| Monostatic | Same node | High — TX leaks into RX, needs isolation | None (co-located) | Vehicle detection, intrusion, presence sensing | candidate leading early direction |
| Bistatic | Separate TX, RX nodes | None | Tight time/phase sync over backhaul | Cooperative environment mapping, NLoS sensing | candidate under study |
| Multistatic | Multiple distributed RX | None | Tight sync across multiple nodes | High-accuracy 3D localisation, gesture | candidate under study |
| Signal bandwidth B | Range resolution δR = c / (2B) | Representative 6G band | Sensing capability |
|---|---|---|---|
| 100 MHz | 1.5 m | Lower FR3 / cmWave | Large object / vehicle detection |
| 500 MHz | 0.30 m | cmWave / mid FR3 | Person detection, parking |
| 1 GHz | 0.15 m | Upper FR3 | Fine object discrimination |
| 4 GHz | 0.038 m ≈ 3.8 cm | sub-THz | Gesture, high-precision mapping |