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	1. Security Performance Analysis for mmWave Communication
	Zhu Hai-Dong
	Electrics, Communication and Autocontrol Technology 16 March 2023
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	Abstract:Millimeter wave (mmWave) networks has been envisioned to satiate people’s growing need for high reliability and low delay of wireless networks. Besides reliability and delay, security in transmissions has also been gaining popularity due to the increasing exchange of critical and personal information. Existing studies mainly focus on the relations between only two of these performances, which is not comprehensive enough for future network design. In this paper, we analyze the relation among reliability, security and delay performance in large mmWave wireless networks, combining the tools of stochastic geometry and queueing theory. Our numerical results reveal that the all three performances get better for larger beamforming main lobe gain, while the increased blockage intensity only improves security performance but degrades reliability and delay performances when legitimate users are far from base stations, which indicates intricate relations among three performances. Our analysis provides important guidelines for designing networks applicable for various demands at quality of services in future applications.
	TO cite this article:Zhu Hai-Dong. Security Performance Analysis for mmWave Communication[OL].[16 March 2023] http://en.paper.edu.cn/en_releasepaper/content/4759370


	2. Measurement and Analysis of Route Convergence Overhead in Mega-scale Satellite Constellation
	Lu Cheng-Cheng
	Electrics, Communication and Autocontrol Technology 09 March 2023
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	Abstract:In a satellite network, the ISLs(Inter-Satellite Links) are always changing, so the overhead generated by the OSPF protocol has always been the key to affecting the performance of the satellite network. The research on network performance of mage-scale satellite networks is a new field. Therefore, based on the network performance tested from the small-scale satellite networks, this paper predicts the convergence time after an ISL is disconnected in the mage-scale satellite network. The experimental testbed is built based on Linux docker, and the packet capture program is used to capture data packets. For better observation and statistics, only one link is set to be disconnected during the experiment, and then the route convergence time and the size of overhead are counted. Finally, we give some fitting curves of routing convergence time and satellite scale which are based on multiple fitting functions, analyze the size of each part in the overhead and the quantitative relationship between each part, and observe the delay when flooding affects network services. At the same time, we also observe the load of each satellite during the flooding.
	TO cite this article:Lu Cheng-Cheng. Measurement and Analysis of Route Convergence Overhead in Mega-scale Satellite Constellation[OL].[ 9 March 2023] http://en.paper.edu.cn/en_releasepaper/content/4759507

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	3. Energy-Efficiency Trajectory Planning for Multi-UAV Assisted IoT in Data Collection
	LIU Jianan,MIAO Jiansong
	Electrics, Communication and Autocontrol Technology 09 March 2023
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	Abstract:Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) meet the challenge of collecting data from the internet of things (IoT), which requires low-delay, low-energy consumption and high reliability. In this article, we consider a scenario where multi-UAVS assist dynamic IoT for information collection. To maximize energy efficiency, an optimization algorithm based on successive convex approximation (SCA) algorithm and Dinkelbach algorithm is proposed to jointly optimize the scheduling scheme, trajectory and velocity of UAVs. Finally, the algorithm complexity and convergence are analyzed. The simulation results show that the proposed scheme can significantly improve the system energy efficiency compared with other schemes.
	TO cite this article:LIU Jianan,MIAO Jiansong. Energy-Efficiency Trajectory Planning for Multi-UAV Assisted IoT in Data Collection[OL].[ 9 March 2023] http://en.paper.edu.cn/en_releasepaper/content/4759477


	4. Design a multiple platform RFID tag antenna
	WEI Senlin
	Electrics, Communication and Autocontrol Technology 08 March 2023
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	Abstract:With the development of Radio Frequency Identification (RFID), it has been widely used in many fields, such as transportation, shopping malls and logistics. Among them, RFID tag antenna is an important part of this technology, and the performance of tag antenna is also concerned by more and more people. It has been noticed that different working environments have a great impact on the performance of tags. Especially on the metal surface, because the metal will reflect a lot of electromagnetic waves, the performance of ordinary tag antenna may deteriorate dramatically, resulting in the inability to effectively read information. The goal of this project is to design a RFID tag antenna suitable for free space and metal surface and test its performance. An RFID tag is designed for ultra-high frequency band (902MHz-928MHz) in North America. The tag antenna is based on the structure of micro strip antenna. The tag antenna model is designed and simulated by using three-dimensional electromagnetic simulation software. The whole model consists of surface metal patch, medium substrate and metal floor at the bottom. In terms of bandwidth, a vertical H-slot method is used to cut the current path of the original patch to form multiple resonant modes, which expands the bandwidth of the antenna. The impedance of Impinj\'s Monza-4 chip is 11-143j at 915MHz. After testing, the echo loss of the tag antenna S11 is less than - 10dB in the range of 902MHz-928MHz. The gain of this antenna is also good. After the simulation and optimization process, the tag antenna is fabricated, the antenna object is made and the reading distance of the antenna is measured in free space and metal surface.
	TO cite this article:WEI Senlin. Design a multiple platform RFID tag antenna[OL].[ 8 March 2023] http://en.paper.edu.cn/en_releasepaper/content/4759031


	5. 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


	6. 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


	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. 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


	9. 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


	10. 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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