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arXiv 2020年

作者： Zheng, Shilian Zhou, Xiaoyu Chen, Shichuan Qi, Peihan Yang, Xiaoniu Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China

Soft demodulation is a basic module of traditional communication receivers. It converts received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the non-ideal additive white Gaussian noise (AWGN) channel, it is difficult to accurately calculate the LLR. In this letter, we propose a demodulator, DemodNet, based on a fully convolutional neural network with variable input and output length. We use hard bit information to train the DemodNet, and we propose log probability ratio (LPR) based on the output layer of the trained DemodNet to realize soft demodulation. The simulation results show that under the AWGN channel, the performance of both hard demodulation and soft demodulation of DemodNet is very close to the traditional methods. In three non-ideal channel scenarios, i.e., the presence of frequency deviation, additive generalized Gaussian noise (AGGN) channel, and Rayleigh fading channel, the performance of channel decoding using the soft information LPR obtained by DemodNet is better than the performance of decoding using the exact LLR calculated under the ideal AWGN assumption. © 2020, CC-BY.

关键词： Demodulation

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Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities

arXiv

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arXiv 2024年

作者： Xu, Peng Chen, Gaojie Quan, Jianping Huang, Chong Krikidis, Ioannis Wong, Kai-Kit Chae, Chan-Byoung The School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China The Chongqing Key Laboratory of Mobile Communications Technology Chongqing400065 China State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Guangdong China Home for 5GIC & 6GIC University of Surrey Guildford SurreyGU2 7XH United Kingdom The Dept. of Electrical and Computer Engineering University of Cyprus Kallipoleos 75 Nicosia1678 Cyprus The Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom Yonsei Frontier Lab. Yonsei University Seoul03722 Korea Republic of The School of Integrated Technology Yonsei University Seoul03722 Korea Republic of

Buffer-aided cooperative networks (BACNs) have garnered significant attention due to their potential applications in beyond fifth generation (B5G) or sixth generation (6G) critical scenarios. This article explores various typical application scenarios of buffer-aided relaying in B5G/6G networks to emphasize the importance of incorporating BACN. Additionally, we delve into the crucial technical challenges in BACN, including stringent delay constraints, high reliability, imperfect channel state information (CSI), transmission security, and integrated network architecture. To address the challenges, we propose leveraging deep learning-based methods for the design and operation of B5G/6G networks with BACN, deviating from conventional buffer-aided relay selection approaches. In particular, we present two case studies to demonstrate the efficacy of centralized deep reinforcement learning (DRL) and decentralized DRL in buffer-aided non-terrestrial networks. Finally, we outline future research directions in B5G/6G that pertain to the utilization of BACN. Copyright © 2024, The Authors. All rights reserved.

关键词： Reinforcement learning

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Orthogonal Waveform Design of MIMO Radar Based on Niche Genetic Algorithm

Orthogonal Waveform Design of MIMO Radar Based on Niche Gene...

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IEEE International Conference on Signal Processing, communications and Computing (ICSPCC)

作者： Bingnan PEI Tengda Pei Haosheng ZHANG Fujian Key Lab. Of Modern Communication and BeiDou Positioning Technology Quanzhou University of Information Engineering Quanzhou China Dalian Key Laboratory of Environmental Perception and Intelligent Control Dalian University Dalian China

ISBN: (数字)9781728172026

ISBN: (纸本)9781728172033

In order to optimize the orthogonal design of MIMO radar waveform, an improved algorithm based on niche genetic algorithm is proposed. The algorithm is able to eliminate individuals with similar structures in the population or data, maintain a certain distance between individuals, and effectively hold the diversity of them It thus eliminates the phenomenon of premature convergence, strengthens the global search ability of the algorithm, and improves its convergence speed. It is shown that the algorithm has both the advantages of overall search ability of genetic algorithm and the ability of the niche genetic algorithm to discover multiple optimal solutions. Simulation was given to show that the algorithm was cable to reduce the side-lobe of the auto-correlation function of the orthogonal polyphase code and the peak value of the cross-correlation function of the code with good performance of autocorrelation and cross-correlation obtained

关键词： Correlation Optimization MIMO radar Genetic algorithms Encoding Simulation Interference

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control and Management of Optical Inter-Satellite Network based on CCSDS Protocol (Invited)

Control and Management of Optical Inter-Satellite Network ba...

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European Conference on Optical communication (ECOC)

作者： Shanguo Huang Bingli Guo Yabo Yuan Bo Wang Yu Zhang Hai Yang Mingyi Jiang Yixiang Wang Mingjiang Fu Yiting Liu State Key Lab. of Information Photonics and Optical Communication Beijing University of Posts and Telecommunications Beijing China Beijing institute of tracking and telecommunication technology Beijing China

ISBN: (数字)9781728173610

ISBN: (纸本)9781728173627

A network control architecture and Advanced Orbiting Systems (AOS) frame switching scheme suitable for inter-satellite optical network are proposed and demonstrated. The proposed scheme will facilitate on-board data forwarding of resource and energy hungry satellite by avoiding unnecessary data packing and unpacking for bypass traffic.

关键词： Satellites Protocols Optical switches Optical fiber networks control systems Orbits Topology

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Jamming Recognition Based on AC-VAEGAN

Jamming Recognition Based on AC-VAEGAN

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International Conference on Signal Processing Proceedings (ICSP)

作者： Yan Tang Zhijin Zhao Xueyi Ye Shilian Zheng Lijun Wang School of Communication Engineering Hangzhou Dianzi University Hangzhou China State Key Lab of Information Control Technology in Communication System The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China

ISBN: (数字)9781728144801

ISBN: (纸本)9781728144818

To solve the performance deterioration of jamming recognition method based on deep learning in the case of small sample set, a jamming recognition method based on AC-VAEGAN is presented. Interference signal time-frequency diagrams are used as the small sample training set. AC-VAEGAN network is designed by modifying the structure of ACGAN network, that is, adding the core idea of VAE in the ACGAN network, so that the latent space of a continuous and meaningful sample set can be obtained through the encoder. By combining of regularization loss, reconstruction loss, source loss and classification loss, loss functions of three parts of AC-VAEGAN are obtained, and the three parts are trained to make the AC-VAEGAN network more efficient. The simulation results show that when the jamming-to-noise ratio is -10dB~10dB, the AC-VAEGAN network has a higher correct recognition rate for the five kinds of jamming than ACGAN and CNN networks in the case of small sample datasets.

关键词： Jamming Interference Time-frequency analysis Convolution Feature extraction Training Deep learning

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Several classes of linear codes with few weights derived from Weil sums

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Finite Fields and Their Applications 2025年 108卷

作者： Zhao Hu Mingxiu Qiu Nian Li Xiaohu Tang Liwei Wu Key Laboratory of Intelligent Sensing System and Security (Hubei University) Ministry of Education the Hubei Provincial Engineering Research Center of Intelligent Connected Vehicle Network Security School of Cyber Science and Technology Hubei University Wuhan 430062 China State Key Laboratory of Integrated Service Networks Xi'an 710071 China Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan 430062 China Information Coding & Transmission Key Lab of Sichuan Province CSNMT Int. Coop. Res. Centre (MoST) Southwest Jiaotong University Chengdu 610031 China Wuhan Maritime Communication Research Institute China

Linear codes with few weights have applications in secret sharing, authentication codes, association schemes and strongly regular graphs. In this paper, several classes of t -weight linear codes over F q are presented with the defining sets given by the intersection, difference and union of two certain sets, where t = 3 , 4 , 5 , 6 and q is an odd prime power. By using Weil sums and Gauss sums, the parameters and weight distributions of these codes are determined completely. Moreover, three classes of optimal codes meeting the Griesmer bound are obtained, and computer experiments show that many (almost) optimal codes can be derived from our constructions.

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Intelligent reflecting surface aided MISO uplink communication network: feasibility and sinr optimization

arXiv

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arXiv 2020年

作者： Liu, Yang Zhao, Jun Li, Ming Wu, Qingqing School of Information and Communication Engineering Dalian University of Technology Dalian China School of Computer Science and Engineering Nanyang Technological University Singapore School of Information and Communication Engineering Dalian University of Technology Dalian China State Key Lab. of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau Macau China

In this paper we consider the signal-to-interference- and-noise ratio (SINR) optimization problem in the multiuser multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS) under individual information rate constraints. We perform a comprehensive investigation on various aspects of this problem. First, under the individual rate constraints, we study its feasibility. We present a sufficient condition which guarantees arbitrary set of individual information rates. This result strengthens the feasibility condition in existing literature and is useful to the power control/energy efficiency (EE) maximization problem when IRS is present. Then, based on the penalty dual decomposition (PDD) and nonlinear equality alternative direction method of multipliers (neADMM) method, we present new algorithms to tackle the IRS configuration problems, which simultaneously involves multi-dimensional constant-modulus constraints and other additional constraints. Note that the similar hard-core problem has recurrently appeared in various research work on IRS recently. Convergence property and analytic solutions of our proposed algorithms are carefully examined. Moreover, iterative algorithms are developed to detect the feasibility and maximize the SINR. Extensive numerical results are presented to verify the effectiveness of our proposed algorithms. Copyright © 2020, The Authors. All rights reserved.

关键词： Power control

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Resource Mobility Aware Hybrid Task Planning in Space information Networks

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Journal of communications and information Networks 2019年第4期4卷 107-116页

作者： Runzi Liu Yiting Zhu Yan Zhang Weihua Wu Di Zhou Kai Chi School of Information and Control Engineering Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China The State Key Lab of ISN Xidian UniversityXi’anShaanxi 710071China Science and Technology on Communication Networks Laboratory CETC the 54th research instituteShijiazhuangHebei 050081China Electric Information Network Laboratory CETC the 20th research instituteXi’anShaanxi 710068China

In this paper,a resource mobility aware two-stage hybrid task planning algorithm is proposed to reduce the resource conflict between emergency tasks and the common tasks,so as to improve the overall performance of space information ***,in the common task planning stage,a resource fragment avoidance task planning algorithm is proposed,which reduces the contention between emergency tasks and the planned common tasks in the next stage by avoiding the generation of resource *** emergency tasks,we design a metric to quantify the revenue of the candidate resource combination of emergency tasks,which considers both the priority of the tasks and the impact on the planned common *** on this,a resource mobility aware emergency task planning algorithm is proposed,which strikes a good balance between improving the sum priority and avoiding disturbing the planned common ***,simulation results show that the proposed algorithm is superior to the existing algorithms in both the sum task priority and the task completion rate.

关键词： space information network task planning resource mobility

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SAR IMAGING BASED ON TWO-DIMENSIONAL MULTIFRACTIONAL MODELING

SAR IMAGING BASED ON TWO-DIMENSIONAL MULTIFRACTIONAL MODELIN...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Gang Xiong Lizhe Wang Fang Wang Lijun Wang Shanghai Key Lab. of Intelligent Sensing and Recognition Shanghai Jiao Tong University China Jiangsu Urban and Rural Construction College Changzhou City China Science and Technology on Communication Information Security Control Laboratory China

Based on the two-dimensional multifractional Brownian motion (2D-mFBM) scene model, a novel analytical electromagnetic scattering model considering the scattering characteristics of 2D-mFBM surface is proposed, and then a direct SAR imaging model based on 2D-mFBM is derived. The SAR images are simulated using SAR simulator based on multifractional geometric modeling and electromagnetic modeling. The multifractal spectrum and singularity power spectrum of simulated SAR images are analyzed and compared with those of 2D-mFBM scene model. The simulation and analysis indicates that the SAR image with both HH and VV polarization inherited the multifractal characteristics of 2D-mFBM terrain, and presents similar MFS with the original terrain, which provides valuable reference for the feature extraction of high-resolution SAR remote sensing image.

关键词： Radar polarimetry Fractals Analytical models Electromagnetic scattering Synthetic aperture radar Two dimensional displays Logistics

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Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation

arXiv

引用

arXiv 2021年

作者： Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China

Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-cost massive reflecting elements over the entire surfaces of man-made structures. However, accurate channel estimation is a fundamental technical prerequisite to achieve the huge performance gains from RIS. By leveraging the low rank structure of RIS channels, three practical residual neural networks, named convolutional blind denoising network, convolutional denoising generative adversarial networks and multiple residual dense network, are proposed to obtain accurate channel state information, which can reflect the impact of different methods on the estimation performance. Simulation results reveal the evolution direction of these three methods and reveal their superior performance compared with existing benchmark schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Channel estimation

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