登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Farhan, Muhammad; Wang, Lei; Shah, Nadir; Muntean, Gabriel-Miro; Asif, Awais Bin; Song, Houbing Herbert (2025) PowerNetMax: A DRL-GNN framework for IRS-Assisted IOT network optimization. Computer Networks, 273. doi:10.1016/j.comnet.2025.111760

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePowerNetMax: A DRL-GNN framework for IRS-Assisted IOT network optimization
JournalComputer Networks
AuthorsFarhan, MuhammadAuthor
Wang, LeiAuthor
Shah, NadirAuthor
Muntean, Gabriel-MiroAuthor
Asif, Awais BinAuthor
Song, Houbing HerbertAuthor
Year2025 (December)Volume273
PublisherElsevier BV
DOIdoi:10.1016/j.comnet.2025.111760Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID19085339Long-form Identifiermindat:1:5:19085339:8
GUID0
Full ReferenceFarhan, Muhammad; Wang, Lei; Shah, Nadir; Muntean, Gabriel-Miro; Asif, Awais Bin; Song, Houbing Herbert (2025) PowerNetMax: A DRL-GNN framework for IRS-Assisted IOT network optimization. Computer Networks, 273. doi:10.1016/j.comnet.2025.111760
Plain TextFarhan, Muhammad; Wang, Lei; Shah, Nadir; Muntean, Gabriel-Miro; Asif, Awais Bin; Song, Houbing Herbert (2025) PowerNetMax: A DRL-GNN framework for IRS-Assisted IOT network optimization. Computer Networks, 273. doi:10.1016/j.comnet.2025.111760
In(2025) Computer Networks Vol. 273. Elsevier BV

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Not Yet Imported: Sensors - journal-article : 10.3390/s24062006

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/COMST.2022.3199901

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.3390/network2040029

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/COMST.2020.3004197

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/COMST.2022.3155305

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
J. Zhao, A survey of intelligent reflecting surfaces (IRSs): Towards 6G wireless communication networks, arXiv preprint arXiv: 1907.04789 (2019).
Not Yet Imported: - journal-article : 10.23919/JCC.2021.05.007

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: IEEE Communications Letters - journal-article : 10.1109/LCOMM.2020.2965532

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/LWC.2020.2969167

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/OJCOMS.2020.2992791

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TIFS.2021.3103062

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Lin (2020) Deep reinforcement learning for robust beamforming in IRS-assisted wireless communications , 1
Not Yet Imported: - journal-article : 10.3390/electronics12071703

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/JSAC.2022.3144726

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/LCOMM.2024.3363450

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/JSTSP.2022.3178213

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Zhang (2022) User scheduling using graph neural networks for reconfigurable intelligent surface assisted multiuser downlink communications , 8892
Chen (2023) IEEE Trans. Wireless Commun. A distributed machine learning-based approach for IRS-enhanced cell-free MIMO networks 23, 5
Ye (2024) IEEE Wireless Commun. Lett. GNN-based channel estimation for intelligent reflecting surface aided multiuser systems relying on user locations 13, 8
Not Yet Imported: - journal-article : 10.1109/LWC.2023.3295761

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1007/s11276-023-03326-4

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Asif (2022) Optimal path selection in cascaded intelligent reflecting surfaces , 1
Not Yet Imported: - journal-article : 10.1109/TNN.2008.2005605

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1016/j.aiopen.2021.01.001

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Van Hasselt (2016) Deep reinforcement learning with double Q-learning 30
Not Yet Imported: ACM Transactions on Knowledge Discovery from Data - journal-article : 10.1145/3363574

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/COMST.2021.3059896

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.15377/2409-5761.2020.07.2

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/JIOT.2019.2921159

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Tang (2020) Joint transmit and reflective beamforming design for IRS-assisted multiuser MISO SWIPT systems , 1
Norouzi (2024) Radio resource management and path planning in intelligent transportation systems via reinforcement learning for environmental sustainability , 457
Abedi (2024) IEEE Open J. Commun. Soc. Dynamic pricing in multi-tenant MANO with resource sharing: a Stackelberg game approach 5, 7002
Abedi (2024) IEEE Trans. Veh. Technol. Low complexity and mobility-aware robust radio, storage, computing, and cost management for cellular vehicular networks 74, 2
Not Yet Imported: - journal-article : 10.1109/TGCN.2022.3186911

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/JCN.2018.000070

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1109/TWC.2023.3245820

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Vishnoi (2023) Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network , 1
S. 3GPP, Study on channel model for frequencies from 0.5 to 100 GHz, Technical report2018, pp. 1–56.
Not Yet Imported: IEEE Transactions on Nanotechnology - journal-article : 10.1109/TNANO.2022.3195116

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Docomo (2016) 5G Channel Model for bands up to100 GHz
3GPP (2020) 3rd Gener. Partnership Project (3GPP), Technical Report (TR), TR 38.811 Study on new radio (NR) to support non-terrestrial networks
3GPP (2019) 3rd Generation Partnership Project (3GPP) Solutions for NR to support non-terrestrial networks (NTN)
Not Yet Imported: ACM Transactions on Sensor Networks - journal-article : 10.1145/3565973

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1016/j.neucom.2021.02.046

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Géron (2022)
G. Brockman, V. Cheung, L. Pettersson, J. Schneider, J. Schulman, J. Tang, W. Zaremba, Openai gym, arXiv preprint arXiv: 1606.01540(2016).
Not Yet Imported: IEEE Access - journal-article : 10.1109/ACCESS.2020.3000424

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Abozeid (2015) 8-bit 22nw SAR ADC using output offset cancellation technique , 76


See Also

These are possibly similar items as determined by title/reference text matching only.

 
and/or  
版权所有© mindat.org1993年至2026年,除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.7 23:07:46
Go to top of page