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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i4.7925</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Integrated Communication Perception Technology Based on RIS Assistance</title><url>https://artdesignp.com/journal/JERA/8/4/10.26689/jera.v8i4.7925</url><author>YangHao,WangChuanjiang,LiXiaoyi,XiangQi,HeTaoyong</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>4</issue><history><date date-type="pub"><published-time>2024-08-12</published-time></date></history><abstract>Reconfigurable Intelligent Surface (RIS) assisted communication perception integration technology is an emerging communication technology that introduces reconfigurable intelligent surfaces in the communication environment to achieve real-time perception and control of signals, thereby improving the performance and efficiency of communication systems. This article studies the integrated communication perception technology assisted by RIS, including system principles, key technologies, and performance analysis. Through literature review and analysis of relevant research, the potential application prospects of this technology in future communication systems have been revealed.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhang J, Li H, Zhang H, 2017, Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey. Wireless Personal Communications, 97(1): 1–26.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Zhao C, Jiang H, 2018, Joint Sensing and Access in Cognitive Radio Networks: A Survey. IEEE Communications Surveys and Tutorials, 20(2): 1067–1091.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Chen X, Hossain E, Leung VC, 2019, Interference Sensing and Management in 5G and Beyond: Recent Advances and Future Trends. IEEE Communications Magazine, 57(7): 52–59.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Wang C, Li Y, Zhang W, 2020, Machine Learning-Based Spectrum Sensing in Cognitive Radio Networks: A Survey. IEEE Access, 8: 192861–192875.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li Y, Liang YC, Shen X, 2021, From Cognitive Radio to Intelligent Radio: A Comprehensive Survey. IEEE Communications Surveys and Tutorials, 23(1): 3–35.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Tang J, Gao X, Li GY, 2021, Distributed Spectrum Sensing for Cognitive Radio Networks: A Survey. IEEE Communications Surveys and Tutorials, 23(1): 36–54.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zeng T, Cai Y, Zhang J, et al., 2024, Research on Key Technologies and System Architecture for 6G Communication Perception Integration. Wireless Communication Technology, 2024(03): 59–66.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Yang J, Li M, Zhang S, 2024, Research on Integrated Communication Perception Technology Based on RIS Assistance. Wireless Communication Technology, 50(02): 334–341.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Wang Q, Xing Y, Fan W, et al., 2023, Research on Key Technologies of 6G Core Network Supporting Communication Perception Integration. Electronic Technology Applications, 49(12): 50–55.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Yang X, 2023, Key Technology Design and Implementation of Perception Integration System for 6G Communication. Electronic Manufacturing, 31(16): 81–83 + 96.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Wang J, 2023, Key Technology Research on Wireless Communication Perception Integrated Waveform, thesis, Zhejiang University of Business and Technology.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Wang Y, Jin J, Lou M, et al., 2022, Key Technologies and Applications of Communication Perception Integration. Communication World, 2022(21): 27–30.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
