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A UAV-Enabled Integrated Sensing and Covert Communication System

IEEE Transactions on Vehicular Technology 2025年

作者： Zhou, Yi Fan, Pingzhi Ma, Zheng Southwest Jiaotong University Key Lab of Information Coding and Transmission Chengdu610031 China

In this paper, an integrated sensing and covert communications (ISACC) framework is established for unmanned aerial vehicle (UAV) system, where one mobile UAV is deployed to provide sensing and communication services simultaneously, while there exists a malicious warden attempts to detect whether the UAV is communicating with multiple ground users during the whole flight. First, we consider that the communication signal from the UAV is hided under the cover of noise uncertainty in the presence of sensing signal. Then, to maximize the minimum achievable rate among all users with the required sensing performance and covertness, an efficient iterative solution is designed by jointly optimizing the power allocation, trajectory and communication scheduling of UAV. Numerical results are provided to verify the effectiveness of our proposed solution and demonstrate the fundamental trade-off between covertness, sensing requirement and communication achievable rate. © 1967-2012 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Randomized Orthogonal Matching Pursuit Algorithm with Adaptive Partial Selection for Sparse Signal Recovery

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SIAM Journal on Imaging Sciences 2025年第2期18卷 1028-1057页

作者： Wen, Jinming Li, Changhao Shu, Qianyu Zhou, Zhengchun School of Mathematics Jilin University Changchun China Department of Information Science and Technology Jinan University Guangzhou China School of Mathematical Sciences Sichuan Normal University Chengdu China Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu China

The orthogonal matching pursuit (OMP) algorithm, known for its exceptional ability to reconstruct sparse signals, is a widely employed algorithm in compressed sensing. Numerous studies have provided theoretical analyses supporting its capability for achieving exact recovery. However, when applied to large-scale sparse signal recovery, the OMP algorithm incurs substantial computational overhead, leading to prolonged running time. To address this challenge, we design a Randomized OMP with Adaptive Partial Selection (AROMP) algorithm to mitigate computational overhead and reduce runtime. The novelty of the AROMP algorithm lies in its utilization of a randomized index selection method rather than a greedy approach to select the index in each iteration. Subsequently, we theoretically characterize the gap between AROMP and OMP for exactly recovering an s-sparse signal and show that the gap decreases as the number of comparisons K increases, sparsity s decreases, or signal dimension n decreases. As K approaches n-1, the gap between AROMP and OMP tends to 0. The experimental results substantiate that our proposed method significantly reduces running time while maintaining satisfactory accuracy in sparse signal recovery, face recognition tasks, and image reconstruction tasks. © 2025 Society for Industrial and Applied Mathematics.

关键词： Image reconstruction

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Joint Activity Detection and Channel Estimation in MIMO Grant-Free Random Access Networks

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IEEE Transactions on Wireless Communications 2025年

作者： Yang, Boran Zhang, Xiaoxu Hao, Li Karagiannidis, George K. Southwest Jiaotong University Provincial Key Lab of Information Coding and Transmission Chengdu611756 China Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Thessaloniki Greece

Massive machine communication is predicted to provide widespread and unparalleled connectivity for cellular Internet of Things (IoT) applications via multiple-input multiple-output (MIMO) and grant-free random access (GF-RA) techniques. Compressed sensing (CS) has been widely advocated to support massive connectivity due to the bursty nature of traffic transmission. In this paper, the joint activity detection and channel estimation in MIMO-enabled GF-RA system is formulated as a block single measurement vector (SMV) problem and efficiently addressed by using Bayesian-based CS algorithms. First, the pattern coupled sparse Bayesian learning (PCSBL) and block sparse Bayesian learning (BSBL) algorithms are introduced to solve this problem, where the potential block sparsity properties induced by multi-antenna reception are exploited by assigning the structured hyperpriors. Then, by embedding the Generalized Approximate Message Passing (GAMP) technique into the PCSBL and BSBL frameworks to enable effective approximation of posterior distributions, we propose two computationally efficient Bayesian learning algorithms, i.e., GAMP-PCSBL and GAMP-BSBL. Fortunately, the proposed Bayesian algorithms allow automatic learning of block sparse solutions without requiring noise level and user sparsity ratio as explicit conditions. Simulation results show that the proposed algorithms provide improved performance gains over the standard CS-based methods. © 2002-2012 IEEE.

关键词： Channel estimation

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Linear Feedback coding for Gaussian Relay Channel with Various Feedback Links

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IEEE Transactions on Communications 2025年

作者： Deng, Han Xia, Dengfeng Zhang, Haonan Cai, Han Xu, Peng Dai, Bin Southwest Jiaotong University School of Information Science and Technology Chengdu610031 China Chongqing Key Laboratory of Mobile Communications Technology Chongqing400065 China Southwest Jiaotong University Provincial Key Lab of Information Coding and Transmission Chengdu611756 China Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China

Linear feedback coding scheme, such as the elegant Schalkwijk-Kailath (SK) scheme, receives much attention in the literature since its decoding error probability decreases as a second-order exponential in the coding blocklength. In recent years, a linear feedback scheme has been proposed for the Gaussian relay channel (GRC) with destination-source feedback, which combines the SK scheme and the amplify-and-forward (AF) relay strategy. Since there exists three possible feedback links in the GRC, then one question beckons: is there any rate gain if there exist multiple feedback links in the GRC, and can any other relay strategy outperform the AF strategy? In this paper, we answer this question by investigating four feedback models of the GRC, namely, the GRC with destination-source and destination-relay feedback, the GRC with destination-relay and relay-source feedback, the GRC with destination-source and relay-source feedback, and the GRC with all feedback links, respectively. We propose SK-type schemes for these feedback models, and numerical examples show that when the coding blocklength is not long, the rates of our proposed schemes almost approach their asymptotic values, and these rates may be larger than those of existing schemes in the literature. The study of this paper shows that different number/location of feedback links may bring additional rate gain in finite blocklength regime. © 1972-2012 IEEE.

关键词： Gaussian distribution

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Low Probability of Intercept Signal Design for MIMO Integrated Sensing and Communication Systems

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IEEE Transactions on Communications 2025年

作者： Shi, Qiao Wang, Yujie Zhou, Zhengchun Cui, Guolong Fan, Pingzhi The School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China The School of Mathematics Southwest Jiaotong University Chengdu611756 China The School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China The Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu611756 China

In this paper, aimed to protect the transmitted waveform from being intercepted by advanced electronic support measure systems, a low probability of intercept (LPI) signal design, taking into account the transmitted waveform and precoder of communication users, is developed for multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems. The considered system simultaneously senses multiple targets and communicates with multiple users in the presence of various interferences. Specifically, based on the analysis of cyclic spectrum, the desired LPI performance is achieved by minimizing the cyclic frequency sidelobe level. Moreover, sensing and communication requirements are satisfied by respectively maximizing the minimum signal-to-interference-plus-noise ratio (SINR) of targets and constraining the received SINR lower bound of each user. Energy budget and peak-to-average power ratio constraints are introduced to meet the practical resources limits, while similarity constraint is constructed to further ensure the target sensing. Next, in order to solve the formulated nonconvex problem, an efficient iterative algorithm is proposed based on the idea of successive convex approximation (SCA). Finally, simulation results demonstrate the effectiveness of our proposed scheme and display the trade-off among LPI, sensing and communication performance. © 1972-2012 IEEE. All rights reserved.

关键词： Budget control

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Waveform Designs for Integrated Sensing and Communication with Low Probability of Intercept Based on the Cyclic Spectrum

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IEEE Transactions on Vehicular Technology 2025年

作者： Shi, Qiao Wang, Yujie Zhou, Zhengchun Liu, Xinyu Lee, Inkyu Fan, Pingzhi Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Southwest Jiaotong University School of Mathematics Chengdu611756 China Korea University School of Electrical Engineering Seoul02841 Korea Republic of Southwest Jiaotong University Key Lab of Information Coding and Transmission Chengdu611756 China

In this paper, we investigate a waveform design for integrated sensing and communication (ISAC) systems which simultaneously sense the target and communicate with the user. In this design, we apply the concept of low probability of intercept (LPI) to the waveform design for resisting intercept by the electronic support measure (ESM) system. Different from the conventional LPI waveform design strategies, the cyclic frequency sidelobe level (CFSL) is adopted as the LPI performance metric. We also employ the integrated sidelobe level (ISL) optimization to improve the sensing performance. Consequently, a new LPI ISAC waveform design is proposed with the objective of minimizing the weighted sum of the CFSL and ISL under the constraints of energy budget and peak-to-average-power ratio (PAPR), as well as the similarity constraint to assure the communication quality. Then, to further enhance the sensing capability, a joint design of the transmit waveform and radar receive filter is proposed. As the formulated schemes require solving high-dimensional non-convex problems, efficient algorithms based on the majorization-minimization (MM) and alternating iteration are respectively developed. Finally, the effectiveness of the proposed schemes is verified by simulation experiments. © 1967-2012 IEEE.

关键词： Budget control

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On the Detection of Multiple-Access Spatial Modulations

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Chinese Journal of Electronics 2017年第1期26卷 172-178页

作者： ZHOU Enzhi HAO Li Key Lab of Information Coding and Transmission Southwest Jiaotong University

The detection problem for the Multipleaccess Spatial modulations(M-SM) is investigated in this paper, where multiple transmitters adopting spatial modulation communicate to the receiver at the same *** optimal Maximum-likelihood(ML) detection suffers from the high computational complexity, while Sphere decoding(SD) can not reduce the complexity effectively because of the multiple active antennas in M-SM. In order to avoid the high complexity, a Space-alternating generalized expectation-maximization(SAGE) algorithm aided List-pro jection(S-LP) detector is proposed and applied to M-SM systems. The received signal vector is firstly projected onto the subspaces spanned by the columns of channel matrices corresponding to the possible active antennas. Then some combinations of antenna indices with the largest pro jections are selected as candidate index sets,based on which, a modified SAGE algorithm is applied to update the candidate symbols. Both analysis and simulation results show that the proposed S-LP detector achieves a near-optimum performance with a significantly reduced complexity compared with ML and SD detection.

关键词： Multiple-input multiple-output(MIMO) Spatial modulation(SM) Multi-user detection

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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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key techniques for 5G wireless communications:network architecture, physical layer,and MAC layer perspectives

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Science China(information Sciences) 2015年第4期58卷 5-24页

作者： MA Zheng ZHANG ZhengQuan DING ZhiGuo FAN PingZhi LI HengChao Provincial Key Lab of Information Coding and Transmission Southwest Jiaotong University Department of Communication Systems Lancaster University

The fourth generation(4G) mobile communication systems are offering service worldwide *** 4G systems could be loaded with much more services and data than previous systems, there is still a dramatic gap between the people’s practical requirements and what can be offered by the 4G ***, the research and development for the fifth generation(5G) systems have already been started. This article presents an overview of potential network architecture and highlights several promising techniques which could be employed in the future 5G systems. These techniques include non-orthogonal multiple access(NOMA),massive multiple input and multiple output(MIMO), cooperative communications and network coding, full duplex(FD), device-to-device(D2D) communications, millimeter wave communications, automated network organization, cognitive radio(CR), and green communications. The state-of-art and implementation issue of these techniques are also addressed.

关键词： 5G software defined network non-orthogonal multiple access massive MIMO full duplex deviceto-device communications millimeter wa

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New sets of low-hit-zone frequency-hopping sequence with optimal maximum periodic partial Hamming correlation

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Science China(information Sciences) 2015年第12期58卷 162-176页

作者： WANG ChangYuan PENG DaiYuan HAN HongYu ZHOU LiMengNan Provincial Key Lab of Information Coding and Transmission Institute of Mobile CommunicationsSouthwest Jiaotong University

Recently, Chung et al. gave a general method to construct frequency-hopping sequence set(FHS set) with low-hit-zone(LHZ FHS set) by the Cartesian product. In their paper, Theorems 5 and 8 claim that k FHS sets whose maximum periodic Hamming correlation is 0 at the origin result in an LHZ FHS set based on the Cartesian product, and Proposition 4 presented an upper bound of the maximum periodic Hamming correlation of FHSs. However, their statements are imperfect or incorrect. In this paper, we give counterexamples and make corrections to them. Furthermore, based on the Cartesian product, we construct two classes of LHZ FHS sets with optimal maximum periodic partial Hamming correlation property. It is shown that new FHS sets are optimal by the maximum periodic partial Hamming correlation bound of LHZ FHS set.

关键词： frequency-hopping sequence maximum periodic partial Hamming correlation maximum periodic Hamming correlation low-hit-zone cartesian product

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