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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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Joint caching and computing resource allocation for task offloading in vehicular networks
期刊论文
IET COMMUNICATIONS, 2020, 卷号: 14, 期号: 21, 页码: 3820-3827
作者:
Wang, Zhi
;
Hou, Ronghui
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  |  
浏览/下载:57/0
  |  
提交时间:2021/12/01
cellular radio
cloud computing
optimisation
resource allocation
cache storage
linear programming
mobile computing
nonlinear programming
integer programming
joint caching
computing resource
future vehicular networks
computation intensive
efficient content caching strategy
computation resource allocation strategy
mobile edge computing servers
MEC
caching content
maximising caching performance
caching capacity
balanced caching strategy
efficient caching strategy
A deep neural network compression algorithm based on knowledge transfer for edge devices
期刊论文
COMPUTER COMMUNICATIONS, 2020, 卷号: 163, 页码: 186-194
作者:
Chen, Yanming
;
Li, Chao
;
Gong, Luqi
;
Wen, Xiang
;
Zhang, Yiwen
;
Shi, Weisong
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  |  
浏览/下载:342/0
  |  
提交时间:2020/12/10
Edge device
Deep learning
Neural network compression
Knowledge transfer
Interference Cancellation Based Channel Estimation for Massive MIMO Systems With Time Shifted Pilots
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 卷号: 19, 期号: 10, 页码: 6826-6843
作者:
Sun, Bule
;
Zhou, Yiqing
;
Yuan, Jinhong
;
Shi, Jinglin
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  |  
浏览/下载:46/0
  |  
提交时间:2020/12/10
Channel estimation
Interference
Antennas
Massive MIMO
Data communication
Time-frequency analysis
Signal to noise ratio
Finite antenna massive MIMO systems
pilot contamination
time shifted pilot
Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference
期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 卷号: 68, 期号: 10, 页码: 6114-6126
作者:
Xiao, Liang
;
Lu, Xiaozhen
;
Xu, Tangwei
;
Wan, Xiaoyue
;
Ji, Wen
;
Zhang, Yanyong
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  |  
浏览/下载:55/0
  |  
提交时间:2020/12/10
Task analysis
Mobile handsets
Edge computing
Computational modeling
Interference
Energy consumption
Jamming
Mobile offloading
edge computing
interference
jamming
reinforcement learning
PacketUsher: Exploiting DPDK to accelerate compute-intensive packet processing
期刊论文
COMPUTER COMMUNICATIONS, 2020, 卷号: 161, 页码: 324-333
作者:
Ren, Qingqing
;
Zhou, Liang
;
Xu, Zhijun
;
Zhang, Yujun
;
Zhang, Lei
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2020/12/10
Packet processing
DPDK
Performance improvement
Commodity PC
Traffic generation
Few-shot Food Recognition via Multi-view Representation Learning
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 3, 页码: 20
作者:
Jiang, Shuqiang
;
Min, Weiqing
;
Lyu, Yongqiang
;
Liu, Linhu
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2020/12/10
Food recognition
few-shot learning
visual recognition
deep learning
The dynamic parallel distribution algorithm for hybrid density-functional calculations in HONPAS package
期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2020, 卷号: 254, 页码: 9
作者:
Shang, Honghui
;
Xu, Lei
;
Wu, Baodong
;
Qin, Xinming
;
Zhang, Yunquan
;
Yang, Jinlong
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  |  
浏览/下载:55/0
  |  
提交时间:2020/12/10
Density-functional theory
Hartree-Fock
Hybrid functionals
Numeric atomic orbitals
Linear scaling
MPI
Reliable uplink transmissions for NOMA-based Industrial Wireless Networks with guaranteed real-time performance
期刊论文
COMPUTER COMMUNICATIONS, 2020, 卷号: 161, 页码: 41-49
作者:
Xu, Chaonong
;
Wu, Jianxiong
;
Li, Chao
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/12/01
Successive Interference Cancellation
Uplink Scheduling
Power control
Delay guarantee
Reliability
Service-aware 6G: An intelligent and open network based on the convergence of communication, computing and caching
期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2020, 卷号: 6, 期号: 3, 页码: 253-260
作者:
Zhou, Yiqing
;
Liu, Ling
;
Wang, Lu
;
Hui, Ning
;
Cui, Xinyu
;
Wu, Jie
;
Peng, Yan
;
Qi, Yanli
;
Xing, Chengwen
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2020/12/10
6G
Convergence of 3C
Intelligent
Open
IoT
A Prediction Model for Ultra-Short-Term Output Power of Wind Farms Based on Deep Learning
期刊论文
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 卷号: 15, 期号: 4, 页码: 18
作者:
Wang, Y. S.
;
Gao, J.
;
Xu, Z. W.
;
Luo, J. D.
;
Li, L. X.
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2020/12/10
wind power
output power
ultra-short-term prediction
deep learning (DL)
long short-term memory (LSTM) model