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Closer Twins Model: Consistent Design of Modem Scheme and Channel Estimation under High-Mobility Scenarios

IEEE Transactions on Wireless Communications 2025年

作者： Zhang, Hengyu Wang, Xuehan Tan, Jingbo Wang, Jintao Yang, Zhaohui Ai, Bo Tsinghua University Department of Electronic Engineering Beijing100084 China China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang University International Joint Innovation Center Haining314400 China Hangzhou310007 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China PengCheng Laboratory Shenzhen518052 China Zhengzhou University Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou450001 China

Communication objectives with high mobility bring severe Doppler shifts, causing the inter-carrier interference of orthogonal frequency division multiplexing (OFDM) system, which raises the requirements of novel modem schemes. However, existing modem schemes for high-mobility communications face challenges in adapting to diverse channel environments, involving complex channel estimation and etc. Fortunately, the potential of deep learning (DL) has been exploited in various communication applications. In order to design the consistent and robust modem scheme for different channel environments, we propose the DL-based architecture termed the closer twins (CTs) model, which borrows the idea from the Siamese structure in contrastive learning. In specific, two identical network backbones like twins can simultaneously process different channel inputs and make outputs consistent. We design a convlutional neural network called modem network (ModNet) as the backbone for the design of consistent and robust modem scheme. Moreover, to make traditional channel estimation and interpolation methods applicable to the designed modem scheme, a training-aided strategy called random-pilot (R-P) is proposed. In R-P strategy, we simulate the process of conventional channel estimation to modify the objective function of the modem scheme design. Furthermore, the performance of traditional channel estimation can be further improved by DL-based methods. We utilize the CTs model and design the backbone called estimation matrix network (EMNet) to optimize a linear channel estimation method, who outperforms the traditional methods with a similar complexity. Simulation results demonstrate that the proposed modem scheme outperforms OFDM, especially with high Doppler spread. The channel estimation strategy, supported by the R-P strategy and EMNet, achieves lower normalized mean square error compared with traditional methods, contributing to more reliable transmission. © 2025 IEEE. All rights reser

关键词： Orthogonal frequency division multiplexing

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Energy-Efficient Over-the-Air Computation in UAV-Assisted IIoT Networks

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IEEE Transactions on Mobile Computing 2025年

作者： Chen, Yali Sun, Sheng Liu, Min Ai, Bo Wang, Yuwei Liu, Yunhao Chinese Academy of Sciences Institute of Computing Technology Beijing100190 China Zhongguancun Laboratory Beijing China University of Chinese Academy of Sciences Beijing100049 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China Zhengzhou University Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou450001 China Peng Cheng Laboratory Research Center of Networks and Communications Shenzhen518055 China Tsinghua University Beijing100084 China

In remote industrial internet of things (IIoT) monitoring systems, the unmanned aerial vehicle (UAV) serves as supplementary infrastructure to aggregate data from a large number of distributed sensors, and achieve industrial operation intelligence. In the wireless data aggregation process, using conventional orthogonal multiple access techniques face challenges such as scarce bandwidth, high communication latency and energy consumption. To tackle these issues, the over-the-air computation (AirComp) technique has emerged. It allows concurrent data transmissions from sensors, as well as integrates communication and computation processes, ultimately enabling fast data aggregation. However, the energy consumption issue remains unresolved. In this paper, we exploit spatial correlations among sensor measurements, and design an energy-efficient AirComp in UAV-assisted IIoT networks, where only a subset of sensors transmit data instead of all sensors. Then, we derive a closed-form expression for the mean square error (MSE) of each combination under a specific number of sensor transmissions. By jointly optimizing the UAV deployment and pre-coding coefficients of sensors, we formulate the problem of minimizing MSE for each combination of transmitted sensors. Furthermore, the MSE optimization algorithm is developed to output the average MSE of all combinations. Finally, we evaluate the average MSE and network lifetime performance of proposed scheme. © 2002-2012 IEEE.

关键词： Mean square error

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Wireless Powered IoE for 6G: Massive Access Meets Scalable Cell-Free Massive MIMO

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China Communications 2020年第12期17卷 92-109页

作者： Shuaifei Chen Jiayi Zhang Yu Jin Bo Ai School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou UniversityZhengzhou 450001China

A key challenge to the scalable deployment of the energy self-sustainability(ESS)Internet of Everything(IoE)for sixth-generation(6G)networks is juggling massive connectivity and high spectral efficiency(SE).Cell-free massive multiple-input multiple-output(CF mMIMO)is considered as a promising solution,where many wireless access points perform coherent signal processing to jointly serve the ***,massive connectivity and high SE are difficult to obtain at the same time because of the limited pilot *** solve this problem,we propose a new framework for ESS IoE networks where the user activity detection(UAD)and channel estimation are decoupled.A UAD detector based on deep convolutional neural networks,an initial access scheme,and a scalable power control policy are proposed to enable the practical scalable CF mMIMO *** derive novel and exact closed-form expressions of harvested energy and SE with maximum ratio(MR)*** local partial minimum mean-square error and MR combining,simulation results prove that the proposed framework can serve more users,improve the SE performance,and achieve better user fairness for the considered ESS IoE networks.

关键词： 6G network cell-free massive MIMO energy self-sustainability Internet of Everything

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Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity analysis

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China Communications 2022年第11期19卷 16-31页

作者： Hang Mi Bo Ai Ruisi He Xin Zhou Zhangfeng Ma Mi Yang Zhangdui Zhong Ning Wang State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou UniversityZhengzhou 450001China PengCheng Laboratory Shenzhen 518000China National Institute of Metrology of China Beijing 100029China School of Information Engineering Zhengzhou UniversityZhengzhou 450001China

Wireless channel characteristics have significant impacts on channel modeling,estimation,and communication *** the channel sparsity is an important characteristic of wireless *** the sparse nature of wireless channels can reduce the complexity of channel modeling and estimation,and improve system design and performance *** with the traditional sub6 GHz channel,millimeter wave(mmWave)channel has been considered to be more sparse in existing ***,most research only assume that the mmWave channel is sparse,without providing quantitative analysis and ***,this paper evaluates the sparsity of mmWave channels based on mmWave channel measurements.A vector network analyzer(VNA)-based mmWave channel sounder is developed to measure the channel at 28 GHz,and multi-scenario channel measurements are *** Gini index,Rician𝐾factor and rootmean-square(RMS)delay spread are used to measure channel ***,the key factors affecting mmWave channel sparsity are *** is found that antenna steering direction and scattering environment will affect the sparsity of mmWave *** addition,the impact of channel sparsity on channel eigenvalue and capacity is evaluated and analyzed.

关键词： channel sparsity channel measurement mmWave channel measures of sparsity

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Cooperative Physical Layer Authentication for Massive MIMO Machine-Type Communications 23

Cooperative Physical Layer Authentication for Massive MIMO M...

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23rd IEEE international Conference on Communication Technology, ICCT 2023

作者： Zhang, Haotian Wang, Junjie Han, Gangtao Wang, Ning School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou450001 China Southeast University State Key Laboratory of Millimeter Waves Nanjing210096 China

ISBN: (纸本)9798350325959

Aiming to improve the identity security of massive machine-type communications networks, a two-user cooperative physical layer authentication (PLA) scheme is proposed for the uplink transmission of a massive multiple-input multiple-output (MIMO) systems. In the proposed scheme, two single-antenna users synchronously transmit signals to the base station which is equipped with a large number of antennas, and fast varying channels are considered. A space-time modulation scheme is adopted for the two users to implement cooperative PLA, in which tags are selectively embedded into the transmitted signals based on the bit-relationships between the tags and the messages in order to improve the covertness of tags. A minimum Riemannian distance detector is proposed to implement the tag detection, while a fast noncoherent maximum likelihood (ML) detector is introduced to carry out the messages estimation. Binary hypothesis test is carried out for authentication by comparing the detected tags to the regenerated ones, in which the PLAs of the two users are handled as a whole. The closed-form bit error probability of the message is derived, while the authentication performance is analyzed. Computer simulation results demonstrate that the proposed scheme performs better on signal detection as well as identity authentication. © 2023 IEEE.

关键词： cooperative physical layer authentication massive MIMO noncoherent detection selective tag

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DOA Estimation Based on intelligent FMCW Radar with Triangle Array Antenna 15th

DOA Estimation Based on Intelligent FMCW Radar with Triangle...

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15th EAI international Conference on Communications and networking, ChinaCom 2020

作者： Du, Xiaoyu Jiang, Guoping Han, Chong Wang, Chunsong Zhou, Yi College of Automation and College of Artificial Intelligence Nanjing University of Posts and Telecommunications Nanjing China International Joint Research Laboratory for Cooperative Vehicular Networks of Henan Zhengzhou China Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng China

ISBN: (纸本)9783030677190

In this paper, we propose a target Direction of Arrival (DOA) estimation algorithm through the triangular array antenna to improve the perception accuracy of intelligent vehicular millimeter-wave radar. Firstly, we utilize Total Least Square- Estimation of Signal Parameters to obtain the solution set of target azimuth with the geometrical advantages of the triangular array. Subsequently, the preliminary optimal target azimuth can be derived based on the power spectrum function of the improved Multiple Signal Classification algorithm, which is used to estimate the DOA solution set. Finally, we could estimate the optimal azimuth parameters accurately through searching the preliminary optimal target azimuth. The proposed algorithm avoids a wide range of power spectrum search, and reduces the error of azimuth estimation. Compared with both TLS-ESPRIT and MMUSIC algorithm, the spatial resolution is further improved. The evaluation results indicate that the proposed algorithm reduces the root mean square error and the computational complexity, and meanwhile improves the target azimuth estimation accuracy. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Direction of arrival

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UAV Trajectory Optimization for PHY Secure Communication Against Cooperative Eavesdroppers

UAV Trajectory Optimization for PHY Secure Communication Aga...

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international Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC

作者： Huanran Zhang Lingfeng Shen Ning Wang Xiaomin Mu School of Electrical and Information Engineering Zhengzhou University Zhengzhou China Henan International Joint Laboratory for Intelligent Networking and Data Analysis Zhengzhou China

In this paper, we study the maximization of the secrecy throughput of an air-to-ground UAV communication system through UAV trajectory optimization, in a scenario where multiple cooperating eavesdroppers exist. Two cooperative eavesdropping strategies, namely Selection Combing-Cooperative Eavesdropping (SC-CE) and Maximal Ratio Combining-Cooperative Eavesdropping (MRC-CE) are considered for the cooperating eavesdroppers. Based on the mathematical forms of the formulated optimization problems corresponding to the two cooperative eavesdropping schemes, we propose to use the Trajectory Increment Iteration (TII) algorithm and the Particle Swarm Optimization (PSO) algorithm to solve for the optimal trajectory, respectively. Simulation results show that by optimizing the UAV trajectory against cooperative eavesdropping, the physical layer security performance of the system can be effectively improved.

关键词： Communication systems Simulation Physical layer security Throughput Knowledge discovery Security Particle swarm optimization

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PHY Secure Hybrid Precoding with Max-Min Fair Energy Harvesting for mm Wave MU-MIMO-SWIPT Communications 23

PHY Secure Hybrid Precoding with Max-Min Fair Energy Harvest...

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23rd IEEE international Conference on Communication Technology, ICCT 2023

作者： Xue, Bowen Zhang, Chi Mao, Dandan Zhu, Zhengyu Shi, Wenxiang Wang, Ning China Information Technology Designing and Consulting Institute Co. Ltd. Beijing100048 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou450001 China Southeast University State Key Laboratory of Millimeter Waves Nanjing210096 China

ISBN: (纸本)9798350325959

Physical Layer Secure (PLS) hybrid precoding for Simultaneous Wireless Information and Power Transfer (SWIPT) in a multi-user multiple-input-multiple-output (MU-MIMO) communication system over the millimeter wave (mmWave) band is investigated. Because a limited radio frequency (RF) chain architecture is adopted at the Base Station (BS) of the system, the precoding scheme is divided into two parts, i.e. the analog precoding part and the digital precoding part. Considering a typical use case where the users are Internet-of-Things (IoT)-type devices whose proper operations rely on the harvested energy from wireless power transfer, a fairness problem for harvested energy among users is considered, and a constrained max-min optimization problem is formulated accordingly. Given specific analog precoding based on quantized phase shifter array, the formulated problem aims to maximize the minimum received power of the users by jointly optimizing the digital precoding, the additive Artificial Noise (AN) for improved secrecy, and the power allocation, subject to the secrecy rate constraint and the total transmission power constraint. Due to the non-convexity property of the original optimization problem with the design variables coupled in both the objective function and the constraints, an iterative Successive Convex Approximation (SCA) method is employed to give sub-optimal solutions. Effectiveness and convergence of the proposed design are validated through extensive simulation with different system setting parameters, and tradeoffs between the secrecy rate, the wireless energy transfer, and the hardware complexity are discussed. © 2023 IEEE.

关键词： hybrid precoding max-min fairness mmWave physical layer security SWIPT

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Image Encryption Methods in Deep joint Source Channel Coding: A Review and Performance Evaluation 7

Image Encryption Methods in Deep Joint Source Channel Coding...

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7th international Conference on Computer and Communications, ICCC 2021

作者： Xu, Jialong Ai, Bo Chen, Wei Yang, Ang Sun, Peng Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing China Vivo Mobile Communication Co. Ltd. Communication Research Institute Beijing100015 China Frontiers Science Center For Smart High-speed Railway System Beijing100044 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China

ISBN: (纸本)9781665409506

With the introduction of the deep learning (DL), joint source and channel coding (JSCC) has achieved great success and has been demonstrated to have better performance especially in the case of low signal-to-noise ratios (SNRs) and limited bandwidth. As a promising wireless transmission technology, DL based JSCC (DJSCC) can serve different kinds of applications. However, some applications (e.g., biomedical, surveillance, financial and military) have strict requirements on data privacy and data security. Traditional image encryption methods are based on the shuffle operation and changing the intensity of each pixel in the plain image, which changes the ambient structure of the picture and degrades the reconstruct performance of the DJSCC. Perceptual image encryption methods for deep neural networks (DNNs) have been demonstrated to have similar classification accuracy in comparison to the DNNs trained on plain images. However, it is unknown how to conduct image encryption methods in the DJSCC framework. In this paper, we investigate different image encryption methods at first and compare their reconstruction performance. This research work provide a guidance for selecting the image encryption method suitable for DJSCC transmission. © 2021 IEEE.

关键词： Deep neural networks

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Cooperative Physical Layer Authentication for Massive MIMO Machine-Type Communications

Cooperative Physical Layer Authentication for Massive MIMO M...

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international Conference on Communication Technology (ICCT)

作者： Haotian Zhang Junjie Wang Gangtao Han Ning Wang School of Electrical and Information Engineering Zhengzhou University Zhengzhou China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou China State Key Laboratory of Millimeter Waves Southeast University Nanjing China

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