{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T13:33:18Z","timestamp":1777987998485,"version":"3.51.4"},"reference-count":23,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The next generation 6G wireless systems are envisioned to have higher reliability and capacity than the existing cellular systems. The reconfigurable intelligent surfaces (RISs)-assisted wireless networks are one of the promising solutions to control the wireless channel by altering the electromagnetic properties of the signal. The dual connectivity (DC) increases the per-user throughput by utilizing radio resources from two different base stations. In this work, we propose the RIS-assisted DC system to improve the per-user throughput of the users by utilizing resources from two base stations (BSs) in proximity via different RISs. Given an \u03b1-fair utility function, the joint resource allocation and the user scheduling of a RIS-assisted DC system is formulated as an optimization problem and the optimal user scheduling time fraction is derived. A heuristic is proposed to solve the formulated optimization problem with the derived optimal user scheduling time fractions. Exhaustive simulation results for coverage and throughput of the RIS-assisted DC system are presented with varying user, BS, blockage, and RIS densities for different fairness values. Further, we show that the proposed RIS-assisted DC system provides significant throughput gain of 52% and 48% in certain scenarios when compared to the existing benchmark and DC systems.<\/jats:p>","DOI":"10.3390\/s22155755","type":"journal-article","created":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T23:49:27Z","timestamp":1659397767000},"page":"5755","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Resource Allocation for Reconfigurable Intelligent Surface Assisted Dual Connectivity"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5059-6832","authenticated-orcid":false,"given":"Yoghitha","family":"Ramamoorthi","sequence":"first","affiliation":[{"name":"NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Yokosuka 2390847, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masashi","family":"Iwabuchi","sequence":"additional","affiliation":[{"name":"NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Yokosuka 2390847, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoki","family":"Murakami","sequence":"additional","affiliation":[{"name":"NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Yokosuka 2390847, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoaki","family":"Ogawa","sequence":"additional","affiliation":[{"name":"NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Yokosuka 2390847, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasushi","family":"Takatori","sequence":"additional","affiliation":[{"name":"NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Yokosuka 2390847, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,1]]},"reference":[{"key":"ref_1","unstructured":"NTT DOCOMO (2022, July 25). 5G Evolution and 6G, Japan, Available online: https:\/\/www.docomo.ne.jp\/english\/binary\/pdf\/corporate\/technology\/whitepaper_6g\/DOCOMO_6G_White_PaperEN_v4.0.pdf."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1109\/TWC.2020.3024887","article-title":"Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement","volume":"20","author":"Tang","year":"2021","journal-title":"IEEE Trans. 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