SLICING

作品数：98被引量：203H指数：8
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A P4-Based Approach to Traffic Isolation and Bandwidth Management for 5G Network Slicing
《Tsinghua Science and Technology》2025年第1期171-185,共15页Wenji He Haipeng Yao Huan Chang Yunjie Liu 
supported by the funding from the National Natural Science Foundation of China(Nos.62325203 and U22B2033);in part by the General Artificial Intelligence computing Chip project for training in 2022(No.CEIEC-2022-ZM02-0244)from Kunlunxin(Beijing)Technology Co.,LTDt;in part by the BUPT Excellent Ph.D.Students Foundation(No.CX2023147).
With various service types including massive machine-type communication(mMTC)and ultra-reliable low-latency communication(URLLC),fifth generation(5G)networks require advanced resources management strategies.As a metho...
关键词：network slicing P4 traffic isolation bandwidth management diffusion model 
SDaDCS Remote Sensing Target Detection Algorithm
《Journal of Beijing Institute of Technology》2024年第6期556-569,共14页Meijing Gao Yunjia Xie Xiangrui Fan Kunda Wang Sibo Chen Huanyu Sun Bingzhou Sun Xu Chen Ning Guan 
supported in part by National Natural Science Foundation of China(No.62471034);Hebei Natural Science Foundation(No.F2023105001)。
In the field of remote sensing,the rapid and accurate acquisition of the category and location of airplanes has emerged as a prominent research.However,remote sensing fuzzy imaging and complex environmental interferen...
关键词：remote sensing target detection SDaDCS small target detection slicing aided hyper inference(SAHI) DCS attention mechanism 
Network slicing based joint optimization of beamforming and resource selection scheme for energy efficient D2D networks
《Intelligent and Converged Networks》2024年第3期248-264,共17页Biroju Papachary Rajeev Arya Bhasker Dappuri 
The integration of network slicing into a Device-to-Device(D2D)network is a promising technological approach for efficiently accommodating Enhanced Mobile Broadband(eMBB)and Ultra Reliable Low Latency Communication(UR...
关键词：Ultra Reliable Low Latency Communication(URLLC) Enhanced Mobile Broadband(eMBB) heterogeneous cellular network device-to-device communication network slicing 
Strengthening network slicing for Industrial Internet with deep reinforcement learning
《Digital Communications and Networks》2024年第4期863-872,共10页Yawen Tan Jiadai Wang Jiajia Liu 
supported by National Key R&D Program of China(2022YFB3104200);in part by National Natural Science Foundation of China(62202386);in part by Basic Research Programs of Taicang(TC2021JC31);in part by Fundamental Research Funds for the Central Universities(D5000210817);in part by Xi’an Unmanned System Security and Intelligent Communications ISTC Center,and in part by Special Funds for Central Universities Construction of World-Class Universities(Disciplines)and Special Development Guidance(0639022GH0202237 and 0639022SH0201237).
Industrial Internet combines the industrial system with Internet connectivity to build a new manufacturing and service system covering the entire industry chain and value chain.Its highly heterogeneous network structu...
关键词：Industrial Internet Network slicing Deep reinforcement learning Graph neural network 
Slicing of large-size single crystals by ultrafast laser with external stress assistance
《Chinese Optics Letters》2024年第8期100-105,共6页Lifeng Wang Lili Liu Yinan Wang Xun Li Chenchen Li Ming Li 
supported by the National Key Research and Development Program of China(Nos.2022YFB3605900 and 2022YFB3605901)。
The existing single-crystal slicing techniques result in significant material wastage and elevate the production cost o premium-quality thin slices of crystals.Here we report(for the first time,to our knowledge)an app...
关键词：single-crystal gain materials ultrafast laser SLICING YAG aberration correction 
Resource Allocation for Cognitive Network Slicing in PD-SCMA System Based on Two-Way Deep Reinforcement Learning
《China Communications》2024年第6期53-68,共16页Zhang Zhenyu Zhang Yong Yuan Siyu Cheng Zhenjie 
supported by the National Natural Science Foundation of China(Grant No.61971057).
In this paper,we propose the Two-way Deep Reinforcement Learning(DRL)-Based resource allocation algorithm,which solves the problem of resource allocation in the cognitive downlink network based on the underlay mode.Se...
关键词：cognitive radio deep reinforcement learning network slicing power-domain non-orthogonal multiple access resource allocation 
Surface micromorphology and nanostructures evolution in hybrid laser processes of slicing and polishing single crystal 4H-SiC被引量：1
《Journal of Materials Science & Technology》2024年第17期235-244,共10页Yuhang Li Zhe Zhang Qi Song Haiyan Shi Yu Hou Song Yue Ran Wang Shunshuo Cai Zichen Zhang 
supported by National Natural Science Foundation of China(No.62304249);a project funded by China Postdoctoral Science Foundation(No.2023M733704).
Slicing and post-treatment of SiC crystals have been a significant challenge in the integrated circuit and microelectronics industry.To compete with wire-sawing and mechanical grinding technology,a promis-ing approach...
关键词：Laser polishing Silicon carbide Internal modification Laser slicing Surface quality Microstructure 
Deep Learning based Efficient Edge Slicing for System Cost Minimization in Wireless Networks
《Journal of Communications and Information Networks》2024年第2期162-175,共14页Wei Jiang Daquan Feng Liping Qian Yao Sun 
supported in part by the National Natural Science Foundation of China under Grant 62302450;in part by the Project Supported by Zhejiang Provincial Natural Science Foundation of China under Grant LQ24F020037.
It is widely recognized that the future wireless networks are able to efficiently slice heterogeneous resources to provide customized services for various use cases. However, it is challenging to meet the diverse requ...
关键词：deep learning mobile edge computing user admission control resource scheduling 
Data-driven slicing for dimension reduction in regressions:A likelihood-ratio approach
《Science China Mathematics》2024年第3期647-664,共18页Peirong Xu Tao Wang Lixing Zhu 
supported by National Natural Science Foundation of China(Grant Nos.11971017 and 11971018);Shanghai Rising-Star Program(Grant No.20QA1407500);Multidisciplinary Cross Research Foundation of Shanghai Jiao Tong University(Grant Nos.YG2019QNA26,YG2019QNA37 and YG2021QN06);Neil Shen's SJTU Medical Research Fund of Shanghai Jiao Tong University。
To efficiently estimate the central subspace in sufficient dimension reduction,response discretization via slicing its range is one of the most used methodologies when inverse regression-based methods are applied.Howe...
关键词：full-likelihood approach adaptive slicing REGULARIZATION second-order method 
Slicing capacity-centered mode selection and resource optimization for network-assisted full-duplex cell-free distributed massive MIMO systems
《Science China(Information Sciences)》2024年第1期199-216,共18页Jie WANG Jiamin LI Pengcheng ZHU Dongming WANG Hongbiao ZHANG Yue HAO Bin SHENG 
supported in part by National Key Research and Development Program (Grant No.2021YFB2900300);National Natural Science Foundation of China (Grants Nos.61971127,61871122);Southeast University-China Mobile Research Institute Joint Innovation Center;Major Key Project of PCL (Grant No.PCL2021A01-2)。
Network-assisted full-duplex(NAFD) cell-free distributed massive multiple-input multipleoutput(MIMO) systems enable uplink(UL) and downlink(DL) communications within the same timefrequency resources,which potentially ...
关键词：network-assisted full-duplex network slicing mode selection resource optimization deep rein-forcement learning 
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