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	1. FFT Parallel processing method based on ASIP
	Tian Run,Man Yi
	Electrics, Communication and Autocontrol Technology 28 February 2023
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	Abstract:With the research and development of various types of application-specific instruction-set processor (ASIP), the algorithm library based on single-core general processor can not make full use of the structural characteristics and special instruction set of ASIP. In order to improve the computing performance of ASIP, it is usually necessary to design a special algorithm library. Based on a special processor for 5G small base station wireless communication, this paper optimizes the general FFT algorithm. In this paper, data reordering is added to the Cooley-Tukey algorithm to ensure the natural order of input and output data and increase the data-level parallelism in the algorithm. The optimized algorithm is implemented on the simulator of the dedicated processor using the dedicated instruction set. The experimental results show that the proposed method achieves a high speedup in the dedicated processor.
	TO cite this article:Tian Run,Man Yi. FFT Parallel processing method based on ASIP[OL].[28 February 2023] http://en.paper.edu.cn/en_releasepaper/content/4759324


	2. OFDM based LOS Identification and Indoor Positioning
	Chen Xutao ,Tian Hui
	Electrics, Communication and Autocontrol Technology 17 June 2022
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	Abstract:Recently, indoor positioning and location-based service have attracted considerable attentions. In harsh indoor environment, non-line-of-sight (NLOS) propagation might cause serious localization bias. Therefore, an efficient method for screening line-of-sight (LOS) measurements is necessary for reliable positioning. In this paper, a novel LOS identification scheme, in which the geometric relationship between position error and angle of arrival (AOA) and the infomation of separated multipath are utilized, is proposed. Specifically, the identification procedure can be divided into three steps. Firstly, range measurements that may contain NLOS bias are used to obtain coarse location. Secondly, we derive a LOS confidence region about the two-dimensional AOA base on the initial coarse position, with the region threshold related to the initial positioning error and estimated AOA deviation. After filtering out the NLOS measurements, an improved two step weighted least squares (TSWLS) position estimator base on time difference of arrival (TDOA) and AOA is developed and used for accurately positioning. Simulation results reveal that the proposed algorithms can yield a high LOS/NLOS identification accuracy and localization precision.
	TO cite this article:Chen Xutao ,Tian Hui . OFDM based LOS Identification and Indoor Positioning[OL].[17 June 2022] http://en.paper.edu.cn/en_releasepaper/content/4758014

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	3. Energy-Efficient Data Collection Scheme Based on Spatial Correlation in Biological Detection
	Jiawei Wu,Xi Li
	Electrics, Communication and Autocontrol Technology 08 April 2022
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	Abstract:The development of beyond fifth generation network drives the implement of Internet of Things(IoT) technology in different industries, but it also puts forward complex requirements for solutions in different scenarios. In the biological detection, the requirements about ecological protection and validity of biological data bring challenges to the energy efficiency management of IoT devices. In this paper, the spatial correlation of data collected by adjacent IoT devices and the difference in sensing data volume is considered. An energy-efficient scheme using Unmanned aerial vehicle(UAV) is proposed to compress and collect data. The data aggregation decision among IoT devices and trajectory of UAV is optimized to minimize the energy consumption of IoT devices system with the limitation of UAV battery. Markov Clustering(MCL) algorithm is introduced to solve the problem of digraph clustering and a heuristic algorithm is proposed to optimize the UAV trajectory with little energy loss of devices. Simulation results show that the proposed scheme can reduce the energy consumption of IoT devices.
	TO cite this article:Jiawei Wu,Xi Li. Energy-Efficient Data Collection Scheme Based on Spatial Correlation in Biological Detection[OL].[ 8 April 2022] http://en.paper.edu.cn/en_releasepaper/content/4757336


	4. Investigating the Feasibility of Modified Uni-Traveling Carrier Photodetector for Use in Next-Generation Data Centers
	LIU Haoran,YUAN Weifang,LIAO Zhuodong,DUAN Xiaofeng,XIAO Chunyang,LIU Qi
	Electrics, Communication and Autocontrol Technology 06 April 2022
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	Abstract:High-bandwidth photodetectors are required for efficient data flow in data centers. Therefore, an electric field-enhanced modified uni-traveling carrier photodetector (EE-MUTC-PD) with a hybrid absorption layer was developed and evaluated in this study. The design entails the application of graded doping to enhance the electric field in the absorption region of the photodetector. This divides the absorption region into a partially depleted sub-region and depleted sub-region, thereby allowing the photogenerated electrons to drift through the absorption layer. The results demonstrate that the proposed EE-MUTC-PD, which has an electric field-enhanced hybrid absorption layer structure, can maintain a high bandwidth under the conditions of low optical power injection. In addition, it was found to exhibit high responsivity, which is useful for next-generation 800-Gb/s optical communication systems.
	TO cite this article:LIU Haoran,YUAN Weifang,LIAO Zhuodong, et al. Investigating the Feasibility of Modified Uni-Traveling Carrier Photodetector for Use in Next-Generation Data Centers[OL].[ 6 April 2022] http://en.paper.edu.cn/en_releasepaper/content/4757278


	5. Monaural Speech Enhancement Using Combined Convolution Neural Network In The Time Domain
	ZHANG Cheng, JIANG Ting, YU Jia-Cheng
	Electrics, Communication and Autocontrol Technology 02 April 2022
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	Abstract:Recent studies have shown that convolution network (CNN) has a good performance on modeling the long-term dependence of speech sequences in time domain. Multi-layer stacked dilated convolution is used to effectively enlarge the receptive field of network. However, the distance between the feature points mapped to the previous layer will become larger with the increase of dilated rate in higher layer, which easily leads to the neglect of the short-range information between the feature points. This paper proposes a plug-and-play inverted residual and linear bottleneck module called combined convolution (CB-Conv) module, aiming to extract the short-range information between feature points. The main part of CB-Conv module designs two parallel convolution blocks, one is common dilated convolution block, the other is aggregation convolution block. The latter mainly aggregates the lost details between adjacent points through pooling layer, and integrates with the output of the common dilated convolution to complete the information extraction. Experimental results on TIMIT datasets show that the proposed module achieves 1.04dB SI-SNR gain based on TasNet framework compared with the baseline Conv-TasNet under the condition of same number of stacted main module.
	TO cite this article:ZHANG Cheng, JIANG Ting, YU Jia-Cheng. Monaural Speech Enhancement Using Combined Convolution Neural Network In The Time Domain[OL].[ 2 April 2022] http://en.paper.edu.cn/en_releasepaper/content/4757315


	6. A Visual SLAM system based on CNN descriptors
	CAI Chengying,JIAO Jichao
	Electrics, Communication and Autocontrol Technology 28 March 2022
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	Abstract:Simultaneous Localization and Mapping (SLAM) system is very important for autonomous driving. The problem of data association between features becomes the bottleneck limiting the performance of traditional visual SLAM systems, especially in complex environments. In computer vision tasks, Convolutional Neural Networks (CNN) have better performance in complex environments than traditional methods. Therefore, many studies combine SLAM systems with CNN for more reliable data association. In this paper, we design a CNN network for extracting descriptors and combine it with hand-crafted keypoints to construct a visual SLAM system. The experiments in this paper show that CNN-based local descriptors can significantly improve the accuracy and robustness of the SLAM systems. Compared with traditional visual SLAM systems, the SLAM system in this paper is more robust in complex environments, and the localization error of the system in this paper is 24.4% and 33.3% lower than ORB-SLAM2 and VINS-Mono on the evaluated datasets. Meanwhile, CNN local descriptors can be combined with any visual SLAM system, this method has good portability.
	TO cite this article:CAI Chengying,JIAO Jichao. A Visual SLAM system based on CNN descriptors[OL].[28 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4757216


	7. Road Side Unit assisted Opportunistic Offloading in Vehicular Delay-Tolerant Networks: A Data-driven perspective
	Wang Tianyu,Wang Chaowei
	Electrics, Communication and Autocontrol Technology 22 March 2022
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	Abstract:Vehicular Delay-Tolerant Networks (VDTNs) encounter a great challenge with mobile data traffic, due to vehicles\' high mobility and complex wireless environment. Based on high-throughput mmWave communication, the roadside unit (RSU) plays a significant role in offloading the vehicle\'s data from cellular infrastructure to adjacent RSU. This paper formulate the selection of number and locations to deploy RSU in urban area as an optimization problem. A data-driven RSU deployment algorithm is proposed to maximize RSU utilization and reduce service waiting time. Real trajectory dataset is adopted to evaluate the proposed algorithm. The results show that the proposed algorithm reduces the average service waiting time and achieves a higher RSU utilization.
	TO cite this article:Wang Tianyu,Wang Chaowei. Road Side Unit assisted Opportunistic Offloading in Vehicular Delay-Tolerant Networks: A Data-driven perspective[OL].[22 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4757113


	8. Dynamic Measurement Method for Available Bandwidth of 5G Bearer Network
	ZHAO Feng,GAO Weidong,CHUAI Gang
	Electrics, Communication and Autocontrol Technology 10 March 2022
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	Abstract:The 5G bearer network is the network between core network and base station. Bearer network, as the information transmission channel between wireless access network and core network, shoulders the important task of transmitting various voice and data services. Therefore, the Qos of bearer network link must be guaranteed. In this paper, the available bandwidth (AB) of end-to-end network of 5G bearer network is dynamically detected to check whether the link has enough network resources. Kalman filter is used to track the effective bandwidth. In addition, this paper also introduces two background traffic modeling methods that are closer to the real network environment. The algorithm is implemented on NS3 simulation platform, and the simulation results show that the algorithm has good performance.
	TO cite this article:ZHAO Feng,GAO Weidong,CHUAI Gang. Dynamic Measurement Method for Available Bandwidth of 5G Bearer Network[OL].[10 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756595


	9. IRSs-assisted Anti-jamming UAV Secure Communication
	ZHAO Heng, HAO Jian-Jun
	Electrics, Communication and Autocontrol Technology 10 March 2022
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	Abstract:This paper focus on an intelligent reflecting surfaces (IRSs) assisted anti-jamming unmanned aerial vehicle (UAV) communication system, where a UAV collects data from multiple ground users (GUs) in the presence of multiple jammers, and multiple IRSs are deployed to strengthen the desired signal while suppressing the interference by adjusting the phase shifts of their reﬂecting elements properly. The aim of this paper is minimizing the max-energy consumption of the GUs via jointly optimizing the GUs' transmission powers and scheduling vectors, IRSs' deployment positions and phase shift matrixes, and the UAV's trajectory and velocity. To tackle the formulated non-convex problem, this paper proposes an efﬁcient iterative algorithm by applying the alternating optimization (AO), semidefinite relaxation (SDR), successive convex approximation (SCA) and genetic algorithm (GA) methods. Simulation results demonstrate that compared to the baselines, the proposed scheme can considerably reduce the energy consumption of the GUs.
	TO cite this article:ZHAO Heng, HAO Jian-Jun. IRSs-assisted Anti-jamming UAV Secure Communication[OL].[10 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756796


	10. Residual Energy Maximization for NOMA-Enabled UAV Data Collection Network: Trajectory Optimization and Resource Allocation
	Zhu Hao,Hao Jianjun,Guo Yijun
	Electrics, Communication and Autocontrol Technology 10 March 2022
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	Abstract:This paper concentrates on a non-orthogonal multiple access (NOMA) enabled UAV data collection network for Internet of Things devices (IoTDs), where a unmanned aerial vehicle (UAV) is deployed as an aerial base station. During its flight period, the UAV can collect data from IoTDs and take advantage of the simultaneous wireless information and power transfer (SWIPT) technology to charge the batteries of IoTDs. With the aid of NOMA, spectrum efficiency has been improved. This paper aims to prolong the lifetime of the Internet of Things (IoT) network, via jointly optimizing the UAV trajectory, the time allocation for information communication and wireless power transfer, the IoTDs' transmit power, as well as the IoTDs' group scheduling for NOMA. Then this paper uses the block coordinate decent (BCD) and successive convex approximation (SCA) techniques to tackle the non-convexity of the formulated problem. Numerical results show that the proposed solution increases the residual energy of the IoTDs, thus prolonging the lifetime of the network.
	TO cite this article:Zhu Hao,Hao Jianjun,Guo Yijun. Residual Energy Maximization for NOMA-Enabled UAV Data Collection Network: Trajectory Optimization and Resource Allocation[OL].[10 March 2022] http://en.paper.edu.cn/en_releasepaper/content/4756777

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