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检索条件"机构=Parallel Processing Laboratory School of Electrical and Computer Engineering"
1078 条 记 录,以下是181-190 订阅
排序:
Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
arXiv
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arXiv 2024年
作者: Zhou, Binggui Yang, Xi Ma, Shaodan Gao, Feifei Yang, Guanghua School of Intelligent Systems Science and Engineering Jinan University Zhuhai519070 China State Key Laboratory of Internet of Things for Smart City The Department of Electrical and Computer Engineering University of Macau China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai200241 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China State Key Laboratory of Internet of Things for Smart City The Department of Electrical and Computer Engineering University of Macau 999078 China Department of Automation Tsinghua University Beijing100084 China School of Intelligent Systems Science and Engineering Guangdong International Cooperation Base of Science and Technology for GBA Smart Logistics Jinan University Zhuhai519070 China
In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplink channel estimation thanks to channe... 详细信息
来源: 评论
Gaf-Net: Graph Attention Fusion Network for Multi-View Semi-Supervised Classification
SSRN
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SSRN 2023年
作者: Song, Na Du, Shide Wu, Zhihao Zhong, Luying Wang, Shiping School of Computer Science and Technology Hainan University Hainan570228 China School of Mechanical Electrical and Information Engineering Putian University Putian351100 China College of Computer and Data Science Fuzhou University Fuzhou350116 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China
Multi-view semi-supervised classification is a typical task to classify data using a small amount of supervised information, which has attracted a lot of attention from researchers in past years. In practice, existing... 详细信息
来源: 评论
STAR-RIS Enhanced Covert Communication with Delay Constraint
STAR-RIS Enhanced Covert Communication with Delay Constraint
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IEEE International Conference on Communications in China (ICCC)
作者: Beixi Cheng Jinsong Hu Youjia Chen Feng Shu Zhizhang David Chen College of Physics and Information Engineering Fuzhou University Fuzhou Fujian Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information Fuzhou China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China School of Information and Communication Engineering Hainan University Haikou China Department of Electrical and Computer Engineering Dalhousie University Halifax NS Canada
This work confirms the performance gain achieved by deploying a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in covert communication. To maximize the system covert rate, we ...
来源: 评论
WaterTS: Integrating Enhanced Transformer, Sliding Block, and Channel Independence for Long-term Water Quality Prediction
WaterTS: Integrating Enhanced Transformer, Sliding Block, an...
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IEEE International Conference on Automation Science and engineering (CASE)
作者: Jing Bi Lifeng Xu Ziqi Wang Haitao Yuan Shichao Chen Mu Gu MengChu Zhou Faculty of Information Technology Beijing University of Technology Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences and Beijing Huairou Academy of Parallel Sensing Beijing China Beijing Aerospace Smart Manufacturing Technology Development Co. Ltd Beijing China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA
Nowadays, the deterioration of water resources leads to negative ecological impacts. To effectively inhibit the deterioration of water resources, a water quality prediction model based on enhanced transformer, sliding... 详细信息
来源: 评论
Blockchain-aided Mobile Edge Intelligence With Sparse Rewarded Computing Resource Allocation
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IEEE Transactions on Vehicular Technology 2025年
作者: Niu, Wei Shi, Long Wang, Zhe Yang, Weiwei Guo, Yongan Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing210094 China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Dongguan University of Technology School of Electrical Engineering and Intelligentization Dongguan523000 China Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Intelligent Information Processing and Communication Technology Nanjing210003 China Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing210003 China
In the blockchain-aided mobile edge intelligence (B-MEI) network, base stations (BSs) each with an edge server not only execute tasks offloaded from users but also serve as blockchain nodes to ensure trustworthy data ... 详细信息
来源: 评论
Adaptive Multi-Channel Contrastive Graph Convolutional Network with Graph and Feature Fusion
SSRN
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SSRN 2023年
作者: Zhong, Luying Lu, Jielong Chen, Zhaoliang Song, Na Wang, Shiping College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China School of Mechanical Electrical and Information Engineering Putian University Putian351100 China
Multi-view semi-supervised classification is an attractive topic in real-world applications. Due to the powerful capability of gathering information from neighbors, Graph Convolutional Network (GCN) has become a hotsp... 详细信息
来源: 评论
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
arXiv
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arXiv 2023年
作者: Xu, Minrui Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Mao, Shiwen Han, Zhu Jamalipour, Abbas Kim, Dong In Shen, Xuemin Leung, Victor C.M. Poor, H. Vincent The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of The School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The College of Computer Science and Software Engineering Shenzhen University Shenzhen518061 China The Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment... 详细信息
来源: 评论
New families of non-Reed-Solomon MDS codes
arXiv
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arXiv 2024年
作者: Jin, Lingfei Ma, Liming Xing, Chaoping Zhou, Haiyan The Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China The State Key Laboratory of Cryptology P. O. Box 5159 Beijing100878 China The School of Mathematical Sciences University of Science and Technology of China Hefei230026 China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Mathematical Sciences Nanjing Normal University Nanjing210023 China
MDS codes have garnered significant attention due to their wide applications in practice. To date, most known MDS codes are equivalent to Reed-Solomon codes. The construction of non-Reed-Solomon (non-RS) type MDS code... 详细信息
来源: 评论
On the Generalization of Machine-Learning-aided QoT Estimation in Optical Networks
On the Generalization of Machine-Learning-aided QoT Estimati...
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International Conference on Wireless and Optical Communications ( WOCC)
作者: Hanyu Gao Liang Zhang Bin Zhang Xiaoliang Chen Zhaohui Li Guangdong Provincial Key Labratory of Optoelectronic Information Processing Chips and Systems School of Electronics and Information Technology Sun Yat-sen University Guangzhou China Southern Marine Science and Engineering Guangdong Laboratory Zhuhai China Department of Electrical and Computer Engineering George Mason University Fairfax VA USA
This paper presents a composable machine learning method for generalizing the quality-of-transmission (QoT) metric estimation in optical networks. The composable machine learning approach characterizes this metric for...
来源: 评论
Mixture of Experts for Intelligent Networks: A Large Language Model-enabled Approach
Mixture of Experts for Intelligent Networks: A Large Languag...
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International Wireless Communications and Mobile Computing Conference, IWCMC
作者: Hongyang Du Guangyuan Liu Yijing Lin Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim School of Computer Science and Engineering Nanyang Technological University Singapore Singapore State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China School of Automation Guangdong University of Technology and Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Singapore Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinforcement Learning (DRL), the need for ... 详细信息
来源: 评论