Energy-Efficient Secure Communication for Ios Aided Cfmmimo Network
dc.authorscopusid | 57222166674 | |
dc.authorscopusid | 57913942400 | |
dc.authorscopusid | 55336250100 | |
dc.authorscopusid | 7005179513 | |
dc.authorscopusid | 55208046000 | |
dc.authorscopusid | 57665924500 | |
dc.contributor.author | Li, Bin | |
dc.contributor.author | Panayırcı, Erdal | |
dc.contributor.author | Hu, Yulin | |
dc.contributor.author | Dong, Zhicheng | |
dc.contributor.author | Panayirci, Erdal | |
dc.contributor.author | Jiang, Huilin | |
dc.contributor.author | Wu, Qiang | |
dc.date.accessioned | 2024-11-15T17:49:03Z | |
dc.date.available | 2024-11-15T17:49:03Z | |
dc.date.issued | 2024 | |
dc.department | Kadir Has University | en_US |
dc.department-temp | [Li, Bin; Hu, Yulin] Wuhan Univ, Sch Elect Informat, Wuhan, Peoples R China; [Dong, Zhicheng] Tibet Univ, Sch Elect Engn, Lhasa, Peoples R China; [Panayirci, Erdal] Kadir Has Univ, Dept Elect & Elect Engn, Istanbul, Turkiye; [Jiang, Huilin] Southeast Univ, SKL Mobile Commun, Nanjing, Peoples R China; [Wu, Qiang] Nantong Univ, Sch Transportat, Nantong, Peoples R China | en_US |
dc.description.abstract | In this article, we investigate the security energy efficiency (SEE) of intelligent omni-surface (IOS) aided cell-free massive MIMO (CFMMIMO) networks. Firstly, we provide a SEE maximization design for the IOS-assisted CFMMIMO network. To address the formulated non-convex, multivariate problem, in particular, we first decouple the problem into two sub-problems, and design corresponding low-complexity algorithms for each sub-problem, including the joint optimization algorithm of the access point (AP) transmission beamforming and artificial noise covariance matrix based on semi-smooth Newton method (SSNM) as well as the joint optimization algorithm of IOS reflection-transmission phase shift matrix based on Riemannian product manifolds-conjugate gradient method (RPM-CG). The two subproblems are then iterated iteratively using the Block Coordinate Descent (BCD) algorithm to obtain the maximum SEE of the IOS-assisted CFMMIMO network. Simulation results show that the proposed algorithm outperforms the five baseline schemes in terms of SEE. | en_US |
dc.description.sponsorship | Fundamental Research Funds for the Central Universities [2042024kf1006]; National Key R&D Program of China [2023YFE0206600] | en_US |
dc.description.sponsorship | This work was supported in part by the Fundamental Research Funds for the Central Universities with no. 2042024kf1006, and in part by the National Key R&D Program of China under Grant 2023YFE0206600. Y. Hu is the corresponding author. | en_US |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
dc.identifier.citationcount | 0 | |
dc.identifier.doi | 10.1109/ICCC62479.2024.10681874 | |
dc.identifier.endpage | 808 | en_US |
dc.identifier.isbn | 9798350378412 | |
dc.identifier.issn | 2377-8644 | |
dc.identifier.scopus | 2-s2.0-85206442782 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 803 | en_US |
dc.identifier.uri | https://doi.org/10.1109/ICCC62479.2024.10681874 | |
dc.identifier.wos | WOS:001329839300141 | |
dc.identifier.wosquality | N/A | |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | IEEE/CIC International Conference on Communications in China (ICCC) -- AUG 07-09, 2024 -- Hangzhou, PEOPLES R CHINA | en_US |
dc.relation.ispartofseries | IEEE International Conference on Communications in China | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 0 | |
dc.subject | 6G | en_US |
dc.subject | IOS | en_US |
dc.subject | CFMMIMO | en_US |
dc.subject | SSNM | en_US |
dc.subject | RPM-CG | en_US |
dc.title | Energy-Efficient Secure Communication for Ios Aided Cfmmimo Network | en_US |
dc.type | Conference Object | en_US |
dc.wos.citedbyCount | 0 | |
dspace.entity.type | Publication | |
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relation.isAuthorOfPublication.latestForDiscovery | 5371ab5d-9cd9-4d1f-8681-a65b3d5d6add |