Distributed wavefront shaping in radiative near-field sub-terahertz wireless networks
Year: 2026
Type: article
Abstract: In sub-Terahertz (sub-THz) wireless networks, the radiative near-field regime can no longer be ignored. Indeed, this less-explored electromagnetic regime can provide unprecedented opportunities to tackle the long-standing challenges of sub-THz wireless communication, including using focused beams to combat higher propagation losses and self-healing beams that offer enhanced resilience against line-of-sight blockage. Nevertheless, our mathematical modeling and experimental study find that such favorable near-field properties can be observed only within a smaller range of the nominal near-field Fresnel regime. To extend the functioning range where the use of near-field beams is advantageous, prior literature advocates the use of transmit arrays with larger form factors; however, such arrays may be impractical in real-world environments and are often difficult and costly to fabricate. In this study, we present the mathematical modeling and experimental demonstration of distributed near-field beam shaping using multiple coordinated transmitting apertures, hence, increasing the effective near-field regime. Our modeling is built on a detailed understanding of near-field electromagnetics, Fourier optics, and wave optics.
Source: Nature Communications
Institutions: Princeton University, Northeastern University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G1523888516, Collaborative Research: NeTS: Medium: Resilient Multi-User Mobile sub-THz Networks using Near-Field Wavefronts, G5109466094, G5874973568, RINGS: Resilient mmWave Networks via Distributed In-Surface Computing (mmRISC), G7090116110, Collaborative Research: CNS Core: Large: Scaling WLANs to TB/sec: THz Spectrum, Architectures, and Control, CAREER: Agile, Adaptable, and ScalableWireless Terahertz Networks: Architecture and Control
OpenAlex ID: W7155174733
