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BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications
Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024.
Authors:
He, Fuchao
;
Shi, Zheng
;
Zhou, Binggui
;
Yang, Guanghua
;
Li, Xiaofan
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
IF:
8.2
/
9.0
|
Submit date:2024/09/03
Block Error Rate
Decoding
Deep Reinforcement Learning
Fading Channels
Harq-ir
Internet Of Things
Markov Decision Process
Reliability Theory
Resource Management
Short Packet Communications
Signal To Noise Ratio
Throughput
A precision CMOS voltage reference exploiting silicon bandgap narrowing effect
Journal article
Wang B., Law M.K., Bermak A.. A precision CMOS voltage reference exploiting silicon bandgap narrowing effect[J]. IEEE Transactions on Electron Devices, 2015, 62(7), 2128-2135.
Authors:
Wang B.
;
Law M.K.
;
Bermak A.
Favorite
|
TC[WOS]:
22
TC[Scopus]:
27
|
Submit date:2019/02/14
Bandgap Narrowing (Bgn)
Bipolar Junction Transistor (Bjt) Curvature Reduction
Bjt Noise
Cmos Bandgap Voltage Reference (Bgr)
Curvature Correction
Process Spread
Temperature Coefficient (Tc)
Online estimation of noise parameters for Kalman filter
Journal article
Yuen, Ka-Veng, Liang, Peng-Fei, Kuok, Sin-Chi. Online estimation of noise parameters for Kalman filter[J]. Structural Engineering and Mechanics, 2013, 47(3), 361-381.
Authors:
Yuen, Ka-Veng
;
Liang, Peng-Fei
;
Kuok, Sin-Chi
Favorite
|
TC[WOS]:
57
TC[Scopus]:
63
|
Submit date:2018/10/30
Bayesian Probabilistic Approach
Kalman Filter
Online Algorithm
Process Noise
Measurement Noise
Structural Health Monitoring
Estimating the jump activity index under noisy observations using high frequency data
Journal article
Jing, B.Y., Kong, X.B., Liu, Z.. Estimating the jump activity index under noisy observations using high frequency data[J]. Journal of American Statistical Association, 2011, 558-568.
Authors:
Jing, B.Y.
;
Kong, X.B.
;
Liu, Z.
Favorite
|
TC[WOS]:
19
TC[Scopus]:
20
IF:
3.0
/
4.9
|
Submit date:2022/07/27
Microstructure Noise
Symmetric Stable Levy Process.
Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise
Journal article
Er G., Zhu H., Iu V., Kou K.. Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise[J]. Science China Technological Sciences, 2011, 54(5), 1121-1125.
Authors:
Er G.
;
Zhu H.
;
Iu V.
;
Kou K.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
|
Submit date:2019/02/12
Nonlinearity
Poisson White Noise
Probability Density Function
Ship Roll Motion
Stochastic Process
Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise
Journal article
Er, G. K., Zhu, H. T., Iu, V. P., Kou, K. P.. Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise[J]. SCIENCE CHINA Technological Sciences, 2011, 1121-1125.
Authors:
Er, G. K.
;
Zhu, H. T.
;
Iu, V. P.
;
Kou, K. P.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
IF:
4.4
/
4.3
|
Submit date:2022/08/28
Pprobability Density Function
Ship Roll Motion
Poisson White Noise
Stochastic Process
Nonlinearity
Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise
Journal article
Er,Guokang, Zhu,Haitao, Iu,Vaipan, Kou,Kunpang. Probability density function solution to nonlinear ship roll motion excited by external Poisson white noise[J]. Science China Technological Sciences, 2011, 54(5), 1121-1125.
Authors:
Er,Guokang
;
Zhu,Haitao
;
Iu,Vaipan
;
Kou,Kunpang
Favorite
|
TC[WOS]:
3
TC[Scopus]:
5
IF:
4.4
/
4.3
|
Submit date:2021/03/09
Nonlinearity
Poisson White Noise
Probability Density Function
Ship Roll Motion
Stochastic Process
Selection of noise parameters for Kalman filter
Journal article
Ka-Veng Yuen (阮家荣), Ka-In Hoi(许嘉贤), Kai Meng Mok(莫启明). Selection of noise parameters for Kalman filter[J]. Earthquake Engineering and Engineering Vibration, 2007, 6(1), 49-56.
Authors:
Ka-Veng Yuen (阮家荣)
;
Ka-In Hoi(许嘉贤)
;
Kai Meng Mok(莫启明)
Favorite
|
TC[WOS]:
42
TC[Scopus]:
56
IF:
2.6
/
2.6
|
Submit date:2018/10/30
Bayesian Inference
Kalman Filter
Measurement Noise
Process Noise
State Estimation