Embodied Communication: Sensing-Induced Reliability Fields and Capacity Bounds

2026-05-08

AI Summary

This work proposes a novel paradigm of embodied communication that embeds information into the physical state of the environment without requiring dedicated transmitters or additional spectrum, transforming the communication problem into one of environmental state distinguishability. By leveraging a multi-quick-illumination frequency sensing model, the authors construct a perception-induced reliability field, thereby repurposing environmental sensing infrastructure as an implicit communication channel for the first time. Theoretically, they introduce a finite-snapshot ε-capacity framework that reveals an intrinsic trade-off between sensing duration and symbol reliability. Methodologically, they devise a closed-form hexagonal symbol layout—under main-lobe approximation—and a lattice-based codebook, establishing both achievability and converse capacity bounds. Their results demonstrate the existence of an optimal sensing duration that enables the environment to act as an active information carrier.

Abstract

This paper introduces embodied communication, a new wireless communication modality in which information is imprinted onto environmental states and recovered by the receiver through sensing. No dedicated communication transmitter is activated, and no additional communication spectrum is occupied; instead, the sensed environment itself becomes the carrier of information. The key insight is that sensing must be reinterpreted for communication. Rather than asking how accurately an unknown physical state can be estimated, embodied communication asks how reliably two states can be distinguished. We formalize this idea through a multi-snapshot radio frequency (RF) sensing model and derive a sensing-induced reliability field that quantifies the distinguishability between physical states. This field turns embodied symbol design into a geometric packing problem shaped by the sensing resolution of the infrastructure. For this embodied channel, we characterize the finite-snapshot $ε$-capacity through achievable designs and converses. We develop lattice-based codebooks, obtain a closed-form hexagonal design under a main-lobe approximation, and establish information-theoretic and geometric upper bounds. We further reveal an intrinsic sensing-duration tradeoff: more sensing snapshots improve reliability, but also lengthen each embodied symbol, leading to a finite optimal sensing time. These results expose a latent communication pathway in sensing-enabled infrastructure and show how the environment can be transformed from a passive backdrop into an active information carrier.

Problem

• embodied communication
• sensing-induced reliability
• environmental state distinguishability
• RF sensing
• communication without dedicated transmitter

Innovation

• embodied communication
• sensing-induced reliability field
• geometric packing
• finite-snapshot capacity
• lattice codebook