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	1. Research on laser-induced damage threshold of high-purity silica fiber based on thermal effects
	Yingshi Hu,Rundi Zhai,Baonan Jia,Pengfei Lu
	Electrics, Communication and Autocontrol Technology 09 March 2022
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	Abstract:In this paper, laser-induced damage threshold (LIDT) is investigated at the wavelength of 1064 nm in the high-purity silica fiber. The finite element method (FEM) is used to study transmission mode, LIDT and temperature distribution of the fiber. We find that in temperature calculation, results of ray optics is similar with that of wave optics. Both the results show that the center of incident surface is more possible to be damaged. We also characterize the tendency of maximum temperature variation with the increase of laser fluences. Our research can provide systematic FEM simulations for the LIDT of fibers.
	TO cite this article:Yingshi Hu,Rundi Zhai,Baonan Jia, et al. Research on laser-induced damage threshold of high-purity silica fiber based on thermal effects[OL].[ 9 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756735


	2. BBR optimization study based on grey prediction
	LI Ning,Yan Xiaohu
	Electrics, Communication and Autocontrol Technology 07 March 2022
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	Abstract:BBR (Bottleneck Bandwidth and Round-trip) is a congestion control algorithm developed in recent years. The BBR algorithm probes available resources by asynchronously measuring network bandwidth and minimum latency. It controls the send rate based on the estimated bandwidth, trying not to take up the bottleneck queue, so it keeps latency low while pursuing high throughput. However, in response to high-speed networks, the convergence time performance of BBR is not good. The analysis found that the algorithm could not effectively determine that network resources were fully utilized later in the startup phase, which extended the time for the startup phase to switch to the emptying phase. Therefore, this paper introduces the transition propulsion module, which uses the gray prediction model to accelerate the process of determining the network pipeline filling, and shorten the connection time between the initial two stages. In the NS3 simulation, it was found that the convergence time was significantly shortened.
	TO cite this article:LI Ning,Yan Xiaohu. BBR optimization study based on grey prediction[OL].[ 7 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756673

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	3. Nonlinear Statistical Convolutional Neural \\Network for Transmitter Identification \\ Under Noise Conditions
	Tianzi Li,Sai Huang
	Electrics, Communication and Autocontrol Technology 20 January 2022
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	Abstract:Recently, identifying communication transmitters using deep neural networks under complicated wireless environments has received much attention. Since there is no public dataset to measure the performance of the deep learning algorithm, we construct a transmitter dataset based on various non-linearity of power amplifiers.In traditional methods, handicraft features and parameters need to be estimated to classify the transmitters, which are easily affected by noise conditions.Therefore, a Convolutional Neural Network (CNN) based method called Nonlinear Statistical CNN (NSCNN) that requires no prior knowledge of the transmitter model is utilized. By preprocessing the received signals, the nonlinear statistical properties of different signals within the signal are extracted.Extensive simulation shows the superiority of the proposed method, and the performance is close to the optimal maximum likelihood method. Finally, the results of the received signals using different algorithms and symbol lengths are also discussed.
	TO cite this article:Tianzi Li,Sai Huang. Nonlinear Statistical Convolutional Neural \\Network for Transmitter Identification \\ Under Noise Conditions[OL].[20 January 2022] http://en.paper.edu.cn/en_releasepaper/content/4756147


	4. Preliminary Study on the Application of Internet of Things in Smart Cinema
	Zhang Xiaowei,Lou Peidei
	Electrics, Communication and Autocontrol Technology 09 November 2021
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	Abstract:With the improvement of residents\' living standards and the development and advancement of science and technology, movie lovers are no longer satisfied with watching movies, and thus pose new challenges to the operation of theaters. Aiming at the pain points of traditional theaters in terms of energy-saving, intelligence and audience loss, this article proposes the construction of smart theaters in combination with the modern development trend of theaters. The system describes the application of the Internet of Things technology in energy-saving efficiency, data collection, equipment maintenance, and other aspects of smart theaters. , And then design and realize the overall structure of the smart theater.
	TO cite this article:Zhang Xiaowei,Lou Peidei. Preliminary Study on the Application of Internet of Things in Smart Cinema[OL].[ 9 November 2021] http://en.paper.edu.cn/en_releasepaper/content/4755705


	5. An Improved Bilinear Fractional Order DPD for F-OFDM Systems
	Liao Xiao,Luo Zhinian
	Electrics, Communication and Autocontrol Technology 08 May 2021
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	Abstract:In F-OFDM systems, the signal which is amplified by nonlinear power amplifier (PA) will produce serious distortion. The digital predistortion (DPD) technique is the most common method in PA linearization due to its high flexibility and good linearization performance. In this paper, an improved bilinear fractional order memory polynomial (IBFMP) DPD structure for Filtered Orthogonal Frequency Division Multiplexing (F-OFDM) systems is proposed. First, bilinear memory polynomials (BMP) are combined with fractional memory polynomials (FMP) without the cross term. Replaced the long-term memory effect with the short-term memory effect in this paper. Finally, Added the PAPR reduction technology into F-OFDM system while adopting DPD. The results show that the new structure can improve the linearity of PA, hence, the combined structure can improve the efficiency of PA and the performance of the system.
	TO cite this article:Liao Xiao,Luo Zhinian. An Improved Bilinear Fractional Order DPD for F-OFDM Systems[OL].[ 8 May 2021] http://en.paper.edu.cn/en_releasepaper/content/4754939


	6. An improved SAMP channel estimation schem in OFDM systems
	LI Ning,Yao Kun
	Electrics, Communication and Autocontrol Technology 14 April 2021
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	Abstract:Channel estimation occupies an important position in OFDM communication systems. Compared with channel estimation algorithms such as LS and MMSE, channel estimation methods based on compressed sensing can save spectrum efficiency. Taking advantage of the channel sparsity, channel estimation and compressive sensing can be combined. And SAMP with adaptive sparsity is well suited for practical situations.For the drawback that the SAMP algorithm has poor atomic selection ability during iteration. In this paper, proposes an atomic weak selection mechanism For the shortcomings of SAMP such as the existence of poor noise immunity. The simulation results show that the proposed method shares better performance in BER and MSE than SAMP.
	TO cite this article:LI Ning,Yao Kun. An improved SAMP channel estimation schem in OFDM systems[OL].[14 April 2021] http://en.paper.edu.cn/en_releasepaper/content/4754552


	7. Research on Activity-based Device-Free Human Identification Approach
	YANG Yu,JIANG Ting,DING Xue,ZHONG Yi
	Electrics, Communication and Autocontrol Technology 31 March 2021
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	Abstract:In recent years, with the development of device-free sensing (DFS), researchers have applied it to the field of identity recognition. By taking advantage of the unique influence that different people have on surrounding wireless signals, the technology is able to identify people in a contactless way. Some progress has been made in identification by analyzing the gait information in the received wireless signals, but it needs to provide enough space for walking, which limits its application scenarios to some extent. In order to solve this problem, this paper proposes WAID, a recognition system based on human activities. Through analyzing the unique influence of different people doing the same activity on the channel state information (CSI) of WiFi signal, the identity information of people can be extracted from it. Thus, identification can be achieved by performing activities in fixed locations where there are no area requirements. The experimental results show that in the case of 2 to 6 people, the average recognition accuracy of WAID is 94.3% to 88%, and the average accuracy under six positions is 84.8%.
	TO cite this article:YANG Yu,JIANG Ting,DING Xue, et al. Research on Activity-based Device-Free Human Identification Approach[OL].[31 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754417


	8. Edge Offloading Strategy for Mobile Devices in Intelligent Factories Based on Energy Consumption and Delay
	XIAO Ye,ZHOU Xiaoming,LI Zhao,ZHAO Chenglin,XU Fangmin
	Electrics, Communication and Autocontrol Technology 29 March 2021
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	Abstract:To cope with the challenge of successful edge offloading brought by the mobility of mobile devices in intelligent factories, this paper studies the optimization problem of the edge offloading strategy of mobile devices based on mobility. Considering the decision task flow executed by priority, the unique offloading method of a single task, the communication range of the edge server, and the delay constraint of the offloading of a single task, appropriate computing resources are selected according to the real-time location of the mobile device to offload the computing task. Based on the edge computing architecture of an intelligent factory, this paper puts forward five different computation offloading methods. From a global perspective, the energy consumption and delay of tasks offloading in local, edge, cloud center, local-edge collaboration, and local-edge-cloud collaboration are considered. In this paper, the algorithm based on genetic algorithm and particle swarm optimization is used to design the optimal decision task flow offloading strategy which can obtain the minimum energy consumption and delay. Simulation results show that the proposed algorithm can reduce the computation offloading energy consumption and delay of mobile devices.
	TO cite this article:XIAO Ye,ZHOU Xiaoming,LI Zhao, et al. Edge Offloading Strategy for Mobile Devices in Intelligent Factories Based on Energy Consumption and Delay[OL].[29 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754387


	9. An Applicable Scheme Employing Bispectrum and Convolutional Neural Network for Individual RF Fingerprint Identification
	ZHANG Yi-Ru,PAN Yu-Wen,YANG Yuan-Wang,WANG Bing-Cheng,WANG Bing-Cheng
	Electrics, Communication and Autocontrol Technology 23 March 2021
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	Abstract:In the background of artificial intelligence (AI) being widely applied, radio frequency (RF) fingerprint identification employing AI has become a trend. This paper mainly focuses on ways to process and identify RF signal transmitters. Contrapose to traditional RF fingerprint feature extracting and identifying methods, a method for modeling and extracting the RF signals features using integral bispectrum firstly was raised. Afterwards, A convolutional neural network has been proposed for classification of the RF individual transmitters. For verification, several mobile phones (with same or different type/brand) signals were processed by the above methods. The experiments results show that the proposed methods make up the weaknesses in accuracy and efficiency of previous used GBDT, XGBoost, and stacking algorithms. Moreover, the signal model derived by the proposed methods can describe individual signal transmitter with same type and brand, which is superior to signal model mentioned in references and has great significance in individual RF fingerprint identification.
	TO cite this article:ZHANG Yi-Ru,PAN Yu-Wen,YANG Yuan-Wang, et al. An Applicable Scheme Employing Bispectrum and Convolutional Neural Network for Individual RF Fingerprint Identification[OL].[23 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754163


	10. Growth of Vertically Stacked Two-Dimensional Materials: An Analytical vdW-BCF Model
	Xinshuang Xiang,Han Ye
	Electrics, Communication and Autocontrol Technology 16 March 2021
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	Abstract:The mechanism of spontaneous vertical versus in-plane lateral growth of two-dimensional (2D) materials is of great importance to fabricate novel 2D hetero- and homostructures. In this paper, we build a vdW-BCF growth model for vertically stacked 2D materials based on diffusion equations with boundary conditions from thermodynamic equilibrium and mass conservation. General solutions are analytically obtained for bilayer 2D materials (initial Layer1 and subsequent Layer2), taking adsorption and desorption into consideration. As the increase of Layer1 size, the Layer2 growth velocity decreases first and then increases due to the flux adsorption on the Layer1. Two critical sizes of Layer1 may exist for Layer2 to grow. Meanwhile, growth of Layer2 becomes unlimited if Layer2 size reaches a critical value. Moreover, the model can describe the size evolution as the growth process and we demonstrate that initial sizes plays a crucial role in determining the final structure.
	TO cite this article:Xinshuang Xiang,Han Ye. Growth of Vertically Stacked Two-Dimensional Materials: An Analytical vdW-BCF Model[OL].[16 March 2021] http://en.paper.edu.cn/en_releasepaper/content/4754168

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