Abstract:The intelligent beam management method combined with AI has excellent performance in solving the traditional beam management problem, but the AI model has the problem of insufficient self-adaptation, which limits the deployment of AI-based algorithm in real-world communication systems. In order to provide some useful solutions and research ideas, this paper studies the adaptive beam management framework based on GRL in massive MIMO systems. Firstly, the user-beam-panel graph model in cellular Scenario is built, the beam scheduling problem is transformed into the problem of selecting the appropriate beam nodes in the graph, and an adaptive beam management algorithm is proposed. The same set of network parameters can be adapted to different user numbers and beam configurations. Aiming at improving spectral efficiency, the proposed scheme is trained on a system-level simulation platform in B5G/6G systems. Finally system-level simulation results show that the spectral efficiency of the proposed scheme is superior to the traditional PF algorithm.

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	1. An adaptive beam scheduling scheme based on graph reinforcement learning
	Li Chang-He, Zhao Zhong-Yuan
	Electrics, Communication and Autocontrol Technology 26 February 2024
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	Abstract:The intelligent beam management method combined with AI has excellent performance in solving the traditional beam management problem, but the AI model has the problem of insufficient self-adaptation, which limits the deployment of AI-based algorithm in real-world communication systems. In order to provide some useful solutions and research ideas, this paper studies the adaptive beam management framework based on GRL in massive MIMO systems. Firstly, the user-beam-panel graph model in cellular Scenario is built, the beam scheduling problem is transformed into the problem of selecting the appropriate beam nodes in the graph, and an adaptive beam management algorithm is proposed. The same set of network parameters can be adapted to different user numbers and beam configurations. Aiming at improving spectral efficiency, the proposed scheme is trained on a system-level simulation platform in B5G/6G systems. Finally system-level simulation results show that the spectral efficiency of the proposed scheme is superior to the traditional PF algorithm.
	TO cite this article:Li Chang-He, Zhao Zhong-Yuan . An adaptive beam scheduling scheme based on graph reinforcement learning[OL].[26 February 2024] http://en.paper.edu.cn/en_releasepaper/content/4762177


	2. Power Allocation Based on Non-Cooperative Game in LEO Beam-Hopping Satellite System
	XIAO Xuesong, Quan Qingyi
	Electrics, Communication and Autocontrol Technology 23 December 2023
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	Abstract:Considering that low Earth orbit satellites adopt beam hopping technology for full frequency multiplexing, exacerbating the degree of co-frequency interference in the system, thereby reducing the capacity of the system, a power allocation algorithm of beam-hopping system based on non-cooperative game is proposed in this paper. First, a power resource allocation model based on non-cooperative game is established, and an alternate iterative algorithm is proposed to solve the Nash equilibrium. Then, OPNET is used to build a system-level simulation platform, and the performance of the power allocation algorithm is effectively evaluated. The simulation results show that the proposed power allocation algorithm achieves obvious improvement in interference suppression, spectral efficiency and fairness compared with water filling algorithm and power squaring pricing game.
	TO cite this article:XIAO Xuesong, Quan Qingyi. Power Allocation Based on Non-Cooperative Game in LEO Beam-Hopping Satellite System[OL].[23 December 2023] http://en.paper.edu.cn/en_releasepaper/content/4761762

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	3. A SNR Adaptive Semantic Communication System for Image Classification
	JIN Yu-Xin, HAO Jian-Jun
	Electrics, Communication and Autocontrol Technology 28 November 2023
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	Abstract:This paper proposes an adaptive semantic communication method for image classification tasks. Based on the importance of semantic features, a dynamic feature selection network is proposed, which can select the transmitted features according to different SNR conditions, reducing the amount of data transmitted under low SNR conditions and the delay of image classification tasks. In addition, this paper constructs an adaptive SNR codec based on joint source-channel coding (JSCC), which allows the proposed model to flexibly adapt to different SNRs with just one training. Experiments have shown that the proposed scheme can flexibly adapt to different channel conditions. Compared with traditional communication methods for image classification tasks, the proposed scheme has lower latency and higher accuracy in executing image classification tasks.
	TO cite this article:JIN Yu-Xin, HAO Jian-Jun. A SNR Adaptive Semantic Communication System for Image Classification[OL].[28 November 2023] http://en.paper.edu.cn/en_releasepaper/content/4761588


	4. Transmission Rate Optimization in Active RIS-Assisted UAV Communication System
	LI Tongjie,MIAO Jiansong
	Electrics, Communication and Autocontrol Technology 08 April 2023
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	Abstract:Due to their low cost and flexible deployment, unmanned aerial vehicles (UAVs) have been widely used in existing networks to enhance coverage and alleviate network congestion. However, the complex environment poses challenges for UAV communication systems, such as blocked links and limited energy consumption. As a new technology for reconstructing communication environments, reconfigurable intelligent surfaces (RISs) can be applied to UAV communication systems. By adding controllable power amplifiers to the reflecting units, RISs can further improve system gain, which is of great significance for solving the problem of blocked links. In this paper, an active RIS-assisted UAV communication system is established and the transmission rate of the system are studied and analyzed. The simulation results show that the proposed scheme can significantly improve the system transmission capacity compared with other schemes.
	TO cite this article:LI Tongjie,MIAO Jiansong. Transmission Rate Optimization in Active RIS-Assisted UAV Communication System[OL].[ 8 April 2023] http://en.paper.edu.cn/en_releasepaper/content/4760254


	5. Joint Optimization for UAV Supported Emergency Communications
	Jianning Zhang,Tao Peng,Deping Lin,Qingyi Quan
	Electrics, Communication and Autocontrol Technology 03 April 2023
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	Abstract:\ Unmanned \ aerial \ vehicles (UAVs) have attracted great interest \ in \ emergency communications application due to their high mobility, flexible deployment。In this paper, we \ study \ the \ effective deployment of multiple UAVs that act as aerial \ base \ stations to provide communication services to indoor users in emergency scenarios.To this end,this paper presents \ the \ problem \ of jointly optimizing \ indoor \ user \ association, \ bandwidth \ allocation, and \ 3D placement of UAVs,aiming to maximize the minimum throughput of all indoor users in uplink to improve user fairness. The problem is a challenging mixed integer non-convex optimization \ problem , \ and thus this paper proposes \ an \ efficient \ iterative \ algorithm, the joint user-UAV association, \ bandwidth \ allocation, \quad and \ placement \ optimization \ based \ on \ least \ squares \ gradient \ estimation (JABP-LSGE) algorithm , to solve the problem using LSGE \ estimation \ and \quad continuous \quad convex optimization techniques. Specifically, integer linear programming \ is \ used \ to \ obtain \quad indoor \ user \ association \ scheduling , convex \ optimization \ is used to achieve \quad bandwidth \ allocation, and LSGE \ is \ used \ to \ update \ the \ UAV \ 3D \ placement. Simulation \quad results \ show that \ the \ JABP-LSGE \ algorithm \ can improve \quad user \quad uplink throughput \quad more effectively \ and take better care of the fairness of each user than \quad other traditional methods.
	TO cite this article:Jianning Zhang,Tao Peng,Deping Lin, et al. Joint Optimization for UAV Supported Emergency Communications[OL].[ 3 April 2023] http://en.paper.edu.cn/en_releasepaper/content/4760162


	6. Joint Offloading and Caching Based on UAV-Assisted Mobile Edge Computing
	Jiyankai
	Electrics, Communication and Autocontrol Technology 17 March 2023
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	Abstract:With the rapid development of Internet of Things devices,delay-sensitive and computationally intensive mobile applicationsmake computing resources inevitably insufficient.Thus, Unmanned Aerial Vehicles (UAVs) devices become a reliable relay nodedue to the mobility, which can provide users with extensive communications and more computing capabilities.Our proposed scheme aims to optimize the offloading decision ofthe computing tasks requested by all users and the allocation of computing resources to minimize overallenergy consumption within constrained computing and maximum delay.To solve the optimization problem, wepropose an efficient UAV-Cloud-Offloading-Caching (UCOC) algorithm,which includes an iterative algorithm for offloading decisions of user request and a remote system (the UAVs system and the cloud system)cache updating algorithm.Our simulation results show that the proposed algorithm can significantly reduce the overall energy consumption ofthe whole system by 13\% to 33\%.
	TO cite this article:Jiyankai. Joint Offloading and Caching Based on UAV-Assisted Mobile Edge Computing[OL].[17 March 2023] http://en.paper.edu.cn/en_releasepaper/content/4759718


	7. 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


	8. 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


	9. 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


	10. 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

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