Spectrum‐Fusion‐Enabled Millimeter‐Wave Intelligent Metasurface System for Assisting Wireless Communication
ABSTRACT As information technology evolves, millimeter‑wave frequencies have become essential for ultra‑high‑speed wireless links. However, improving mmWave signal coverage and using spectrum resources efficiently remain challenging. To address these challenges, a spectrum fusion‐enabled millimeter‐wave intelligent metasurface system is proposed for assisting wireless communication, in which low‑frequency signals are used to establish sensing links for precise target localization, while high‑frequency millimeter‑wave signals are dynamically manipulated by the metasurface to enable user‑tracking communication. By decoupling the sensing and communication functions across different frequency bands, the system can effectively mitigate spectrum congestion and enhance the performance of dynamic wireless link. Simulation and experimental results demonstrate that the programmable metasurface, operating at 52.8 GHz, enables robust user‐tracking communication over an angular range of ±60°, while maintaining low and stable EVM values, indicating consistent modulation quality. These results highlight the advantages of leveraging low‑frequency sensing to assist high‑frequency communication. The proposed intelligent system architecture provides a novel and resource‑efficient solution for next‐generation wireless networks.
Authors
- Yi Xu (ORCID: https://orcid.org/0000-0003-2126-6054)
- Z. Q. Zhu (ORCID: https://orcid.org/0000-0001-7175-3307)
- Peng Wang (ORCID: https://orcid.org/0000-0002-5397-9115)
- Li Zhang (ORCID: https://orcid.org/0000-0002-4790-2138)
- Lifeng Chen (ORCID: https://orcid.org/0000-0003-1971-8613)
- Yujie Liu (ORCID: https://orcid.org/0009-0000-9000-626X)
- Xiaojian Fu
- Tie Jun Cui
Institutions
- Chongqing University of Posts and Telecommunications (CN)
- Southeast University (CN)
Publication Details
- Journal
- Laser & Photonics Review
- Published
- 2026-03-11
- DOI
- https://doi.org/10.1002/lpor.202502010
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00