Evidence map›Paper›PMID 42890116›Full record

ArticleNanophotonics (Berlin, Germany)2026

Radio-Frequency Front-End-Free Hybrid Code-Division and Space-Division Wireless Multiplexing Using Space-Time-Coding Metasurface.

Yuzhen Chen, Xiaoyi Wang, Guo-Min Yang, Ya-Qiu Jin

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuzhen ChenKey Laboratory for Information Science of Electromagnetic Waves (MoE) Fudan University Shanghai China.ORCID https://orcid.org/0009-0008-7858-4217
Xiaoyi WangCollege of Electronic and Information Engineering Tongji University Shanghai China.ORCID https://orcid.org/0000-0001-5842-3442
Guo-Min YangKey Laboratory for Information Science of Electromagnetic Waves (MoE) Fudan University Shanghai China.ORCID https://orcid.org/0000-0003-0698-9633
Ya-Qiu JinKey Laboratory for Information Science of Electromagnetic Waves (MoE) Fudan University Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Code-division multiplexing (CDM) is essential for supporting massive connectivity in wireless networks, but its implementation typically requires complex and costly radio-frequency (RF) chains. This work presents a simplified wireless CDM system based on a space-time-coding metasurface (STCM). By modulating distinct spatial partitions of the metasurface with data streams prespread via orthogonal pseudo-random codes, the STCM functions as a distributed parallel modulator. This architecture enables the metasurface to perform simultaneous upconversion while directing modulated reflections from multiple spatial partitions toward either shared or distinct directions. Although these data-carrying waves may physically overlap in the far-field, the inherent orthogonality of the spread codes ensures that the receiver can successfully decorrelate and recover each multiplexed stream. Experimental validation demonstrates three core scenarios: multistream to a single direction, distinct single-stream to distinct directions, and multistream to multiple directions (each direction gets multiple streams), all achieved without conventional RF chains. The proposed STCM-based hybrid CDM and space-division multiplexing (SDM) architecture enables simultaneous multiuser communication with a radically simplified RF front-end, paving the way for simplified, high-capacity wireless systems for future wireless networks.

Identifiers

PMID42890116
PMCPMC13672144

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.