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	1. 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


	2. A Spectrum Allocation Method for Aerospace TT&C Network Based on Automatic Machine Learning
	DAI Guangcai,ZHANG Luyong
	Electrics, Communication and Autocontrol Technology 15 May 2023
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	Abstract:This paper proposes a spectrum allocation method based on automatic machine learning algorithms. The automatic machine learning algorithm based on Bayesian optimization search strategy has shown good performance in spectrum recognition. Based on its characteristics, this paper applies it to predict network traffic and thus completes the task of spectrum allocation for the communication model of the aerospace TT&C network. The experimental results show that applying automatic machine learning algorithms to spectrum allocation, although the main indicators such as network resource utilization rate and network bandwidth blocking rate are slightly inferior to the adaptive path idle degree algorithm with good recognition performance and manual parameter tuning, it still has strong practicality given that it can avoid the tedious and trivial manual parameter tuning work.
	TO cite this article:DAI Guangcai,ZHANG Luyong. A Spectrum Allocation Method for Aerospace TT&C Network Based on Automatic Machine Learning[OL].[15 May 2023] http://en.paper.edu.cn/en_releasepaper/content/4760796


	3. 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


	4. An Integrated Communication and Ranging System based on OFDM
	HAN Yanhong,ZHANG Yuming
	Electrics, Communication and Autocontrol Technology 03 April 2023
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	Abstract:Recent advancements in wireless communication and the miniaturization of equipment with limited resources have given rise to a new enabling technology integrated communication and raning (ICAR). However, the majority of existing researches are theoretical and rely solely on simulation to assess performance, making it difficult to obtain tangible evidence for real-world applications. Thus, in this paper, we build an ICAR platform based on orthogonal frequency division multiplexing (OFDM) for semi-physical verification. Specifically, this platform consists of two software defined radio (SDR) nodes, with hardware components including antennas and universal software radio peripherals (USRPs), while the software component utilizes Matlab. We have designed a duplex mode for the proposed system. In the lab setting, we implement node discovery and link detection, estimate the performance of communication and ranging. The experimental results demonstrate the effectiveness of the proposed system.
	TO cite this article:HAN Yanhong,ZHANG Yuming. An Integrated Communication and Ranging System based on OFDM[OL].[ 3 April 2023] http://en.paper.edu.cn/en_releasepaper/content/4760059

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