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IEEE International Conference on Communications in China (ICCC)

作者： Yating Lin Haonan Zhang Han Deng Bin Dai Peng Xu School of Information Science and Technology Southwest Jiaotong University Chengdu China Chongqing Key Laboratory of Mobile Communications Technology Chongqing China Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

This paper explores how to design efficient coding schemes for the additive white Gaussian noise (AWGN) channel with intermittent feedback, where the channel output at each time instant can be successfully fed back to the transmitter according to a certain probability. Efficient coding schemes are proposed for such a model in both noiseless and noisy feedback cases, which are extensions of the classical Schalkwijk-Kailath (SK) feedback scheme for the AWGN channel with noiseless feedback. Achievable rates of our proposed schemes are obtained, and the results of this paper are further explained by numerical examples.

关键词： AWGN channels Transmitters Encoding Numerical models Noise measurement

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An Efficient Joint Decoding Scheme for Outer Codes in DNA-Based Data Storage

An Efficient Joint Decoding Scheme for Outer Codes in DNA-Ba...

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IEEE International Conference on Communications in China Workshops (ICCC)

作者： Yi Ding Xuan He Kui Cai Guanghui Song Bin Dai Xiaohu Tang Information Coding and Transmission Key Lab of Sichuan Province Southwest Jiaotong University China Science Mathematics and Technology (SMT) Cluster Singapore University of Technology and Design Singapore State Key Lab of Integrated Services Networks Xidian University China

In this paper, we consider a simplified system model for DNA-based data storage, where each DNA string is either correctly transmitted, or being erased, or being corrupted by random substitution errors, and all strings are randomly shuffled with each other. Any linear block error-correction code can be used as the outer code to encode bits among different strings. We derive soft/hard information of all bits, which allows to independently decode each bit within a string, leading to an independent decoding scheme. To improve the decoding performance, we measure the reliability of each string based on the independent decoding result, and perform a further step of decoding over the most reliable strings, leading to a joint decoding scheme. Simulations with low-density parity-check codes confirm that the joint decoding scheme can reduce the frame error rate by more than 3 orders of magnitude compared to the independent decoding scheme.

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A Linear Feedback coding Scheme for Computation Over Gaussian Multiple-Access Channels

A Linear Feedback Coding Scheme for Computation Over Gaussia...

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IEEE International Symposium on information Theory

作者： Bin Dai Fan Cheng Yuhan Yang Dengfeng Xia School of Information Science and Technology Southwest Jiaotong University Chengdu China Chongqing Key Laboratory of Mobile Communications Technology Chongqing China Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

The problem of reliably reconstructing a function of sources over a multiple-access channel (MAC) is revisited by considering channel feedback. First, a linear feedback scheme is proposed to compute the average of the Gaussian sources transmitted over the Gaussian MAC. Next, numerical results show that in some cases, our proposed scheme performs better than the existing ones without using channel feedback. Finally, we show that with a slight modification, our scheme can be directly extended to compute any linear function of the Gaussian sources transmitted over the Gaussian MAC.

关键词： Encoding Reliability

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Application and Prospect of Reinforcement Learning in Power Prediction on Source and Load Sides 6

Application and Prospect of Reinforcement Learning in Power ...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Pei, Ming Ye, Lin Lu, Jiazheng Xu, Xunjian Pan, Shiji Wu, Zhenrong Liao, Haohan China Agricultural University College of Information and Electrical Engineering Beijing China State Grid Hunan Electric Power Company State Key Lab. of Disaster Prev. Reduction for Power Grid Transmission and Distribution Equipment Changsha China

ISBN: (纸本)9798350347159

With the large-scale access of a high proportion of new energy sources, there is a high degree of uncertainty on both sides of the source and load, which brings huge challenges to the optimal dispatch of the power system. Therefore, accurate power prediction information of the source and load can provide important decision support for the dispatch of the new power system. In recent years, with the development of artificial intelligence technology, reinforcement learning (RL) has been gradually used in uncertain power supply power prediction, load prediction, etc., so as to support the stable and safe operation of power grid under the uncertainty of source and load. Therefore, reinforcement learning has a great application prospect in the new power system dominated by new energy. Based on this, this paper will conduct a research review on the application of reinforcement learning technology to wind power forecasting, photovoltaic power forecasting, load power forecasting, and source-load power forecasting under extreme weather. Besides, the reinforcement learning algorithm is used to predict the distributed power supply of a wind farm in Jilin Province, China and its region, which is used as the support of the calculation example. Finally, the development direction of reinforcement learning applied to source-load power prediction is prospected and analyzed. © 2022 IEEE.

关键词： Reinforcement learning

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Radio Frequency Emitter Identification Based on Ensemble Learning

Radio Frequency Emitter Identification Based on Ensemble Lea...

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2023 IEEE International Conference on Control, Electronics and Computer Technology, ICCECT 2023

作者： Cheng, Qi Li, Jie Gao, Xiaoli Zhou, Quan Liu, Heng Yang, Liu Southwest Jiaotong University Sichuan Chengdu China Sichuan Jiuzhou Electrical Group Co.Ltd Research Institute of National Defense Advanced Technology Sichuan Mianyang China Sichuan Jiuzhou Electrical Group Co.Ltd Chengdu Branch of Research Institute of National Defense Advanced Technology Sichuan Mianyang China Southwest Jiaotong University Key Lab of Information Coding & Transmission Sichuan Chengdu China

ISBN: (纸本)9798350399028

In order to accurately identify and authenticate radio frequency (RF) emitters, preventing the occurrence of problems such as device cloning, replay attacks and user identity impersonation, an identification method based on time- frequency feature extraction and ensemble learning is proposed. First, the short-time Fourier transform (STFT) is applied on the time-domain signals to generate the time-frequency images which carry the essential characteristics of the signals. Then three sub-models of Resnet34, Inceptionv3 and Densenet121 are trained on the data set with the features extracted by each sub- model and fused to obtain a comprehensive model. The experimental results show that the overall recognition accuracy of the proposed algorithm for 10 LoRa RF emitters outperforms the sub-models applied individually. © 2023 IEEE.

关键词： Learning systems

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transmission Design and Optimization for STAR-RIS-Assisted Symbiotic Radio Systems

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IEEE Transactions on Communications 2025年

作者： Wu, Mingjiang Lei, Xianfu Al-Nahhal, Ibrahim Dobre, Octavia A. Sun, Luyao Southwest Jiaotong University Provincial Key Lab of Information Coding and Transmission Chengdu610031 China Memorial University Faculty of Engineering and Applied Science St. JohnsNLA1C 5S7 Canada China Railway Eryuan Engineering Group Co. Ltd Chengdu610031 China

This paper develops a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted symbiotic radio (SR) system, in which the STAR-RIS is deployed to transmit extra Internet of Things (IoT) data and simultaneously enhance the downlink transmission. A simple and efficient ON-OFF keying modulation scheme is applied by the STAR-RIS to modulate IoT data, which allows a low-complexity IoT transceiver and avoids the signal ambiguity. This work aims to maximize the weighted sum-rate (WSR) of downlink users, subject to the minimum received energy requirement of IoT transmission. Under the assumption of perfect channel state information (CSI), an efficient penalty dual decomposition (PDD)-based algorithm is proposed to solve the WSR maximization problem. By leveraging the PDD framework, the STAR-RIS's coefficients are updated with close-form expressions. For the imperfect CSI case, the WSR maximization problem becomes a challenging stochastic optimization task. To address it, the constrained stochastic successive convex approximation framework is employed. Additionally, an efficient projection method is proposed to handle the STAR-RIS's amplitude and coupled phase-shift constraints. Simulation results reveal the performance trade-off between the downlink transmission and the IoT transmission and validate the superiority of the proposed algorithms over the benchmarks. © 1972-2012 IEEE.

关键词： Constrained optimization

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Study on aging characteristics and composition variation of composite insulator silicone rubber

Study on aging characteristics and composition variation of ...

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2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Ning, Kai Xie, Pengkang Fu, Zhiyao Qing, Pengfei School of Electrical & Information Engineering Changsha University of Science & Technology Changsha410114 China State Key Lab. of Disaster Prev. Reduction for Power Grid Transmission and Distribution Equipment State Grid Hunan Electric Changsha410129 China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

The silicone rubber of the composite insulator is critical to the silicone rubber's operation time. To study the changing pattern of silicone rubber composition and silicone rubber operation process, 2, 6 and 10 years of composite insulator silicone rubber were chosen for testing, which included scanning electron microscopy analysis, thermogravimetric analysis, differential scanning calorimetric analysis, fourier infrared analysis, and X-ray spectroscopy analysis. The correlation results show that the integrity of the silicone rubber molecular chains deteriorates during operation, and an increasing number of cracks and holes appear on the silicone rubber surface. The operation of silicone rubber is related to the change and precipitation of aluminum hydroxide in silicone rubber components, and aluminum hydroxide changes the most during operation. This research can better reflect the surface aging state of silicone rubber sheds, which can be used for formulation preparation, quality inspection, operation condition assessment, and aging failure analysis of composite insulators. © 2022 IEEE.

关键词： Thermogravimetric analysis

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Average Sum Rate Optimization in Coordinated Multi-Beam transmission for Reliable Millimeter-Wave Communications

Average Sum Rate Optimization in Coordinated Multi-Beam Tran...

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IEEE Conference on Vehicular Technology (VTC)

作者： Yanping Liu Kunkun Zhang Xuming Fang Chunju Tang College of Big Data Statistics Guizhou University of Finance and Economics Guiyang China Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu China College of Humanities and Law Guizhou University of Finance and Economics Guiyang China

Millimeter-wave (mmWave) communication is one of the key technologies to drive future high-capacity communication in the sixth generation (6G) network. However, the easily blocking characteristics of mmWave communication links hinder the reliable transmission in mmWave communication. To improve the reliability of mmWave transmission, we investigate the joint coordinated multi-beam selection and power control scheme that maximizes average sum rate of UEs. To efficiently solve this problem, we recast it as a potential game and propose a best response based approach to find the Nash equilibrium (NE). Simulation results have shown that the proposed solution has better average sum rate, and can achieve more reliable mmWave communications.

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Wind Power Loss Forecasting and Early Warning Based on Transfer Learning under Extreme Weather 6

Wind Power Loss Forecasting and Early Warning Based on Trans...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Cai, Zelin Ye, Lin Li, Li Feng, Tao Jian, Zhou Li, Yilin Zhao, Yuan State Key Lab. of Disaster Prevention and Reduction for Power Grid Transmission and Distribution Equipment State Grid Hunan Electric Power Company Limited Disaster Prevention and Reduction Center Hunan China China Agricultural University College of Information and Electrical Engineering Beijing China

ISBN: (纸本)9798350347159

Extreme weather has the characteristics of low probability, high risk and great harm. With the increase of the proportion of wind power connected to the grid, extreme weather poses a serious threat to the normal operation of wind power and the normal power supply. To solve this problem, this paper proposes a method of wind power loss prediction and early warning based on transfer learning. Firstly, the adjacent wind farms are migrated to the target wind farm as the source domain to make up for the insufficient sample size of extreme weather;Then the theoretical value calculation model and the actual value prediction model of wind power are given respectively, so as to calculate the power loss under extreme weather. Finally, a wind farm group in Jilin Province is taken as an example to verify the effectiveness of this method, and a multi-level rolling early warning method is given. © 2022 IEEE.

关键词： Weather forecasting

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Multi-connectivity Enabled User-centric Association in Ultra-Dense mmWave Communication Networks

Multi-connectivity Enabled User-centric Association in Ultra...

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IEEE Conference on Vehicular Technology (VTC)

作者： Qing Xue Renlong Wei Shaodan Ma Yongjun Xu Li Yan Xuming Fang School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Department of Electrical and Computer Engineering University of Macau Macao SAR China Key Lab of Information Coding & Transmission Southwest Jiaotong University Chengdu China

Signals over millimeter wave (mmWave) bands suffer from severe path loss and are easily blocked by obstacles, which greatly degrades the link quality and reliability of mmWave communications. One of the promising ways to overcome this challenge is multi-connectivity, which enables a user to associate with multiple small cells simultaneously. In this paper, we investigate the association problem of a given user to multiple mmWave base stations (mBSs), which we termed user-centric association. In particular, we consider an intelligent reflecting surface (IRS)-aided ultra-dense mmWave communication system, in which multiple distributed IRSs are deployed to expand the coverage of mmWave signals to blind spots. The user-centric association problem is formulated to maximize the user achievable sum-rate with respect to the mBS-user association, auxiliary IRS selection, and power allocation in a combinatorial manner. The original optimization problem is a mixed-integer nonlinear programming problem, which is NP-hard. To solve it, we first relax the formulated problem into a continuous one, then decouple it into three subproblems by utilizing decomposition technique, and finally propose an alternating iteration based algorithm to obtain the optimal solution. Numerical simulations show that the user sum-rate can be greatly improved by the joint optimization scheme.

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