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  • Liu, YijiaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (author)

Metasurface-Based Modulation With Enhanced Interference Resilience

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • Institute of Electrical and Electronics Engineers (IEEE),2023
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:kth-331149
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-331149URI
  • https://doi.org/10.1109/LCOMM.2023.3255410DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20230706
  • Reconfigurable Intelligent Surfaces (RISs) have great potential for Internet of Things (IoT) applications due to their cost-effectiveness and energy-efficiency. However, under the application of RIS, current RIS systems cannot actively predict and avoid interference, as evolving interference signals can dynamically change their frequency bands. To address this issue, we develop a learning-based dynamic RIS spectrum access scheme to avoid interference and enhance wireless transmission reliability. An intelligent metasurface-based modulation (MM) is designed for generating and reflecting anti-interference radio-frequency signals. Specifically, a Dyna-Q algorithm is employed at the RIS controller to learn the frequency of interference signals, which is used to determine the frequency of the carrier signals. Experiments are conducted on the proposed RIS demo system to evaluate its anti-interference capability, and the results show that our scheme leads to an increase of at least 50% in the system throughput. These numerical results demonstrate the effectiveness of proposed scheme.

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  • Qi, NanKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China (author)
  • Pang, ZhiboKTH,Intelligenta system,Department of Automation Technology, ABB Corporate Research Sweden, 721 78 Västerås, Sweden(Swepub:kth)u1t26ns5 (author)
  • Zhang, XinyuKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China (author)
  • Wu, QihuiKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China (author)
  • Jin, ShiNational Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China (author)
  • Wong, Kai KitDepartment of Electronic and Electrical Engineering, University College London, WC1E 7JE London, UK (author)
  • Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, ChinaIntelligenta system (creator_code:org_t)

Related titles

  • In:IEEE Communications Letters: Institute of Electrical and Electronics Engineers (IEEE)27:5, s. 1447-14511089-77981558-2558

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