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1. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links | |||
Hai Liu,Yong-Hua Liu,Chun-Yi Su | |||
Electrics, Communication and Autocontrol Technology 08 March 2024 | |||
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Abstract:In this article, we delve into the issue of output tracking control with predefined transient behavior for lower-triangular nonlinear systems (LTNSs), especially when faced with the presence of unknown nonlinearities. Unlike the results in the current state of the art, the LTNS under consideration exhibits singular input-output links, which is inherently not feedback linearizable. This general characteristic significantly complicates the controller design process, rendering the tool of adding one power integrator (AOPI) ineffective. In response to this challenge, we develop a novel funnel control (FC) algorithm that ingeniously leverages the bilateral barrier functions (BBFs) alongside the $\varrho-\delta$ definition of limit, to meet predefined transient performance specifications of the output tracking. To validate the efficacy of the proposed FC approach, we conduct a comprehensive evaluation of key performance metrics, including tracking error and transient response. | |||
TO cite this article:Hai Liu,Yong-Hua Liu,Chun-Yi Su. Funnel Control of Lower-Triangular Nonlinear Systems With Singular Input-output Links[OL].[ 8 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762514 |
2. A 1.7 nJ 978 nm All-Polarization-Maintaining Ytterbium-Doped Mode-Locked Fiber Laser | |||
Wang Weijin,Zhou Yue,Zhou Xiangxiang | |||
Electrics, Communication and Autocontrol Technology 07 March 2024 | |||
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Abstract:We report a core-pumped all-polarization-maintaining (PM) passively mode-locked ytterbium-doped fiber laser operating at 978 nm. All fibers and elements used in this laser have normal dispersion at 978 nm. In this work, 10.7 MHz linear polarized, 1.7 nJ pulses that can be compressed to 234 fs at 978 nm are experimentally obtained. Compared to other all-PM 978 nm fiber lasers, its pulse energy is more than three times higher. Numerical simulations are performed to reveal the pulses\' temporal and spectral evolution inside the cavity. This robust femtosecond laser operating at 978 nm has great potential in biomedical imaging, material processing, and underwater communication.In this paper | |||
TO cite this article:Wang Weijin,Zhou Yue,Zhou Xiangxiang. A 1.7 nJ 978 nm All-Polarization-Maintaining Ytterbium-Doped Mode-Locked Fiber Laser[OL].[ 7 March 2024] http://en.paper.edu.cn/en_releasepaper/content/4762515 |
3. Design and optimization of a more volume-efficient multi-wavelength quantum dot microring laser array on silicon | |||
HE Weiyu,WANG Jun | |||
Electrics, Communication and Autocontrol Technology 29 February 2024 | |||
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Abstract:A multi-wavelength microring laser array made by InAs/GaAs quantum dot on silicon was optimized. A new method of changing the mode wavelength of the micro-ring laser is used, that is, the micro-ring laser is radially connected with a rectangular body. The mode wavelength of the micro-ring laser changes steadily from 1290 nm to 1307 nm. This approach offers better volume advantages(94.8% volume savings) and facilitates integration. It can cope with situations where space is limited, or where there is room for expansion in only one direction. The structural parameters of a laser which linked an external rectangle has been numerically optimized. The simulation outcomes reveal a substantial enhancement in optical modality of the microring laser, indicating optimized performance. A stable distributed fundamental mode can be achieved when the outer radius of a microring is set to 5 μm, the width of the microring is 2.4 μm, and the thickness of the cladding layer is 1.40 μm. A high quality factor about 1×105 is achieved by optimization. When the microring laser is changed shape, the mode wavelength range is 1290~1307 nm. Realisation of monolithic silicon integrated multi-wavelength laser arrays is feasible. | |||
TO cite this article:HE Weiyu,WANG Jun. Design and optimization of a more volume-efficient multi-wavelength quantum dot microring laser array on silicon[OL].[29 February 2024] http://en.paper.edu.cn/en_releasepaper/content/4762342 |
4. 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 |
5. Traffic Engineering in Segment Routing Network Based on Deep Reinforcement Learning | |||
Wang Yu-Qi,Zhang Xing | |||
Electrics, Communication and Autocontrol Technology 24 January 2024 | |||
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Abstract:As a new routing paradigm, segment routing (SR) has gained significant attention in research. It offers various working modes, such as SRv6 TE Policy and SRv6 BE, which can be applied to IPv6 network to enable traffic engineering. However, updating from current IP network to SR network presents challenges of high costs and complex deployment. In this paper, we propose a traffic engineering algorithm called PUSR. We utilize a deep reinforcement learning algorithm within PUSR to reduce the maximum link utilization(MLU). The algorithm is based on routing node update and link weight setting. Simulation experiments are conducted to compare traditional routing protocols in two commonly used different topologies. The results demonstrate that PUSR achieves great performance and approaches the theoretical optimum more closely. | |||
TO cite this article:Wang Yu-Qi,Zhang Xing. Traffic Engineering in Segment Routing Network Based on Deep Reinforcement Learning[OL].[24 January 2024] http://en.paper.edu.cn/en_releasepaper/content/4761952 |
6. FGLST: Reducing Latency and System Cost for VR Live Streaming in Edge Networks | |||
Yuanlin Hu,Xing Zhang | |||
Electrics, Communication and Autocontrol Technology 29 December 2023 | |||
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Abstract:To reduce the latency and system resource cost of VR live streaming transcoding, the paradigm of edge computing is usually applied to enhance computing speed and reduce the latency, while reducing the bandwidth pressure of the wide area network (WAN). In order to fully utilize the computing power of edge nodes, the task of VR live streaming transcoding needs to be scheduled to each edge node to assist transcoding. However, the current stream scheduling has the problem that the scheduling granularity of VR live streaming on edge nodes is too large. to address this problem, we proposes a fine-grained VR live streaming transcoding (FGLST) architecture. Although this architecture can reduce the scheduling granularity, increase parallelism, and reduce latency, it will generate a large number of tasks that need to be scheduled. Therefore, we further proposes a multi-task scheduling (MTS) algorithm based on the neural network, which introduces a temporary system state vector to solve the problem of not being able to obtain the system state in real time. Finally, we conduct simulation analysis and build a prototype system to evaluate the performance of this architecture, and the result shows that this architecture is superior to the SRS-based VR live streaming transcoding architecture, and this algorithm outperforms the MAB and the RANDOM algorithm. | |||
TO cite this article:Yuanlin Hu,Xing Zhang. FGLST: Reducing Latency and System Cost for VR Live Streaming in Edge Networks[OL].[29 December 2023] http://en.paper.edu.cn/en_releasepaper/content/4761836 |
7. 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 |
8. 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 |
9. 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 |
10. 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 |
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