Article
Computer Science, Theory & Methods
Hongliang He, Xizhao Luo, Jian Weng, Kaimin Wei
Summary: This paper proposes a novel cooperative jamming scheme to improve security in multiple access wiretap channels, where users use their own CSI to design artificial noise to eliminate eavesdroppers' ability to intercept legitimate information. The interference between users plays a key role in achieving security by ensuring that artificial noise from different users helps each other. The study considers both non-collusion and collusion scenarios of eavesdroppers, and shows that positive secrecy sum-rate can be achieved by the proposed scheme.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
Article
Engineering, Electrical & Electronic
Weiyang Xu, Bing Li, LingLing Tao, Wei Xiang
Summary: This paper investigates the security of uplink transmission in massive MIMO systems and proposes an artificial noise-assisted scheme to protect the confidentiality of communication. By optimizing power allocation to maximize secrecy rate, the impact of eavesdropper position on confidentiality is further studied, and the effectiveness of the algorithm is verified through numerical results and simulations.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Dan Wu, Yuqi Fei, Jianbang Gao, Fei Wang, Guowang Gao
Summary: This paper proposes a layered transmission method for secure transmission in multicast systems. By optimizing the weighted vectors and introducing multicast grouping strategy, the secure transmission of multicast group physical layer is achieved.
Article
Computer Science, Information Systems
Xinyao Wang, Zhong Zheng, Zesong Fei
Summary: This letter proposes an adversarial learning-based secure autoprecoder (ASAP) for MIMO wiretap channels, which achieves an optimal trade-off between information secrecy and reliability, and is resistant to evolved eavesdroppers.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Fawad Ud Din, Fabrice Labeau
Summary: This paper proposes a novel secure channel estimation technique using artificial noise and full-duplex transmissions to prevent leakage of channel estimates to malicious users. Through three stages, the legitimate nodes are able to transmit secure signals that cannot be decoded by eavesdroppers, ensuring robust communication.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Yebo Gu, Bowen Huang, Zhilu Wu
Summary: This paper explores the physical layer security problem of wireless communication systems and introduces and studies a new secrecy capacity optimization artificial noise method. By effectively utilizing transmission power and taking into account channel estimation errors, a significant increase in secrecy capacity can be achieved. The improved sequence quadratic program (ISQP) is shown to be better than other algorithms in solving the non-convex optimization problem of power allocation.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Heejung Yu, Jingon Joung
Summary: This paper investigates the dimension of artificial noise (AN) and corresponding transmit power in multiple-input multiple-output single-eavesdropper channels. Different dimensions of AN are derived to calculate the secrecy outage probabilities. An optimization problem is formulated to maximize the secrecy rate under a secrecy outage constraint, taking into account the dependence on the dimension of the AN.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yuncong Xie, Pinyi Ren
Summary: This article focuses on the pilot-assisted transmission design for secure ultra-reliable and low-latency communication (URLLC) systems. It introduces the concept of achievable effective secrecy rate (AESR) to measure the secrecy performance of the URLLC system and proposes an efficient search algorithm to determine the optimal transmission parameters. Numerical results validate the accuracy of theoretical approximations and demonstrate the impact of system parameters on AESR.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Theory & Methods
Bin Qiu, Wenchi Cheng, Wei Zhang
Summary: In this paper, the physical layer security problem for hybrid wiretapping wireless systems in millimeter wave transmission is studied. An artificial noise-aided robust multi-beam array transceiver scheme is proposed to achieve secure and reliable transmission. The problem is formulated as a joint optimization of information and artificial noise beamforming with various constraints. A two-stage algorithm is developed to obtain the optimal solution, and minimum variance distortionless response beamforming weights are designed to suppress jamming caused by active eavesdroppers. Simulation results demonstrate the superiority of the proposed scheme in terms of energy efficiency and security.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Engineering, Electrical & Electronic
Kunrui Cao, Buhong Wang, Haiyang Ding, Lu Lv, Jiwei Tian, Hang Hu, Fengkui Gong
Summary: This article investigates reliable and secure communications for a wireless-powered NOMA system in the presence of multiple eavesdroppers. A proposed JAP scheme ensures system reliability and security, achieving better performance than benchmark schemes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Ge Shi, Yong Li, Wei Cheng, Xiang Gao, Wenjie Zhang
Summary: This paper examines how to enhance the secure performance of multiple-input single-output visible light communication channel in the presence of multiple eavesdroppers with multiple photodiodes, proposing an optimal artificial-noise aided transmission strategy. Through joint optimization of transmit covariance and artificial noise covariance, the non-convex secrecy rate maximization problem is solved by transforming it into a series of single-variable semidefinite programming problems, with a proposed one-dimensional search based algorithm to handle the converted problem. By exploiting Karush-Kuhn-Tucker conditions, beamforming is found optimal for confidential information transmission, and simulation results demonstrate the superiority of the proposed method over others.
Article
Telecommunications
Zhanghua Cao, Xiaodong Ji, Jue Wang, Wei Wang, Kanapathippillai Cumanan, Zhiguo Ding, Octavia A. Dobre
Summary: This study focuses on addressing the eavesdropping issue in a cooperative NOMA network, proposing a FD-based AN scheme with different relay selection techniques. The experimental results show that increasing the number of antennas at the relays can improve the security-reliability trade-off for users.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2022)
Article
Engineering, Electrical & Electronic
Hongliang He, Shanxiang Lyu, Bingwen Feng
Summary: In order to improve the security of information transmission, we propose a cross-time interference injection scheme that enhances security by introducing cross-time self-interference and inter-user interference without the need for artificial noise. This scheme utilizes the properties of Hadamard matrix and wireless channels to create stronger interference on the eavesdropping channel compared to the legitimate channel. We analyze the security performance of this scheme when both the legitimate receiver and the eavesdropper employ successive interference cancellation (SIC) scheme, including secrecy sum rate, secrecy capacity, and secrecy outage probability. We also investigate the impact of the eavesdropper's antenna number, legitimate user number, and time slot utilization on the security performance, obtaining the corresponding relationships for achieving positive secrecy rate. Simulation results validate our theoretical analysis.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Yong Chen, Tao Zhang, Xiaoqiang Qiao, Hao Wu, Jiang Zhang
Summary: This paper investigates secure transmission in MIMO cognitive wiretap networks, proposing two antenna transmission schemes and introducing a power control mechanism to protect the quality of service for primary users. The secrecy performance of the two schemes is evaluated through the derivation of secrecy outage probability and secrecy throughput, with further exploration of security diversity gain and coding gain based on asymptotic secrecy outage probability.
Article
Computer Science, Theory & Methods
Ye Fan, Ang Li, Xuewen Liao, Victor C. M. Leung
Summary: This paper focuses on the physical layer security of a K-user MISO wiretap channel with a malicious eavesdropper, proposing interference exploitation precoding schemes for different types of eavesdroppers. The proposed schemes outperform existing works in secrecy performance and improve computational efficiency.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
Article
Engineering, Electrical & Electronic
Charles A. Guo, Y. Jay Guo, He Zhu, Wei Ni, Jinhong Yuan
Summary: Currently, there is a growing interest in analog multibeam antennas that can steer beams in any direction. The previous paper introduced a theoretical framework for synthesizing individually steerable multiple beams using generalized joined coupler (GJC) matrices. In this article, a more robust optimization method is presented to directly optimize the multibeams and control various characteristics. The proposed method is validated through numerical examples and experimental results.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2023)
Article
Engineering, Electrical & Electronic
Ying Ju, Haoyu Wang, Yuchao Chen, Tong-Xing Zheng, Qingqi Pei, Jinhong Yuan, Naofal Al-Dhahir
Summary: In this paper, a deep reinforcement learning-based joint beam allocation and relay selection (JoBARS) scheme is proposed to mitigate blocking effects and optimize the total transmission rate in vehicular communication networks.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Qingya Lu, Shuangyang Li, Baoming Bai, Jinhong Yuan
Summary: In this paper, the reduced-complexity detection and code design issues in faster-than-Nyquist (FTN) signaling are jointly investigated. A scheme is proposed to increase the minimum squared Euclidean distance by employing repetition coding, at the cost of increased complexity. The concept of spatially-coupling from coding theory is adopted to reduce the rate loss, resulting in spatially-coupled faster-than-Nyquist (SC-FTN) signaling. These findings provide insights into the error-floor, decoding threshold, and complexity of detection and decoding in FTN systems.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Xinyu Huang, Yuting Fang, Stuart T. T. Johnston, Matthew Faria, Nan Yang, Robert Schober
Summary: This paper investigates the channel impulse response of a molecular communication system with an absorbing receiver covered by multiple non-overlapping receptors. The analysis considers different sizes and arbitrary locations of the receptors as well as two types of transmitters. The results show that evenly distributed receptors result in a larger number of absorbed molecules. Moreover, compared to the ideal model, a practical model with membrane fusion-based transmitters and heterogeneous receptors yields lower performance in terms of peak CIR and average BER, highlighting the importance of analyzing practical TX-RX models.
IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Yiyan Ma, Guoyu Ma, Ning Wang, Zhangdui Zhong, Jinhong Yuan, Bo Ai
Summary: This article proposes a grant-free orthogonal time-frequency space-based tandem spreading multiple access (OTFS-TSMA) scheme for machine-type communications (mMTC) in smart railways environmental sensing. By using differential Doppler shift, the proposed scheme achieves high resource efficiency and provides service continuity and controllable multiuser interference.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Quantum Science & Technology
Ali Al-Juboori, Helen Zhi Jie Zeng, Minh Anh Phan Nguyen, Xiaoyu Ai, Arne Laucht, Alexander Solntsev, Milos Toth, Robert Malaney, Igor Aharonovich
Summary: This study demonstrates a discrete-variable quantum key distribution system using a bright single photon source in hexagonal-boron nitride, operating at room temperature. With an easily interchangeable photon source system, keys with a length of one million bits, and a secret key of approximately 70000 bits, at a quantum bit error rate of 6%, with ε-security of 10(-10) are generated. This is the first proof of concept finite-key BB84 QKD system realized with hBN defects.
ADVANCED QUANTUM TECHNOLOGIES
(2023)
Article
Telecommunications
Ziwei Liu, Wen Chen, Zhendong Li, Jinhong Yuan, Qingqing Wu, Kunlun Wang
Summary: In this study, a cognitive radio network (CRN) with a transmissive reconfigurable intelligent surface (TRIS) transmitter is investigated for downlink transmission. Time-modulated arrays (TMA) and rate splitting multiple access (RSMA) are implemented for low power consumption and high-rate multi-stream communication. The joint optimization algorithm based on difference-of-convex (DC) programming and successive convex approximation (SCA) is proposed to improve and balance the energy efficiency (EE) and spectral efficiency (SE) of the network.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Telecommunications
Yihuan Liao, Min Qiu, Jinhong Yuan
Summary: This letter investigates the design of self-connected spatially coupled low-density parity-check (SC-LDPC) codes. First, a termination method is proposed to reduce rate loss. We introduce a single-side open SC-LDPC ensemble to halve the rate loss of conventional terminated SC-LDPC codes by reducing the number of check nodes. Moreover, a self-connection method is proposed to improve the decoding threshold by allowing reliable information propagation from multiple directions. The proposed codes exhibit better trade-off, threshold saturation behavior, and superior error performance compared to existing protograph SC-LDPC codes.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Min Qiu, Yu-Chih Huang, Jinhong Yuan
Summary: This study investigates the design of downlink transmission schemes for supporting heterogeneous ultra-reliable low-latency communications (URLLC) and/or other types of services. The broadcast channel is considered, where the base station sends superimposed signals to multiple users. Due to heterogeneous blocklength constraints and stringent latency requirements, a practical downlink transmission scheme with discrete signaling and single-user decoding (SUD) is proposed. The proposed scheme achieves a high achievable rate under short blocklength, operating close to the benchmark schemes that assume perfect successive interference cancellation (SIC) with Gaussian signaling.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Zijun Qin, Zesong Fei, Jingxuan Huang, Yeliang Wang, Ming Xiao, Jinhong Yuan
Summary: In this paper, we investigate the application of reinforcement learning (RL) in online fountain codes and propose two schemes to reduce the overhead of full recovery with limited feedback. The first scheme, RL-based degree determination (RL-DD), uses RL to determine the optimal degree of coded symbols based on theoretical analysis. The second scheme, online fountain codes with no build-up phase using sectioned distribution (OFCNB-SD), eliminates the build-up phase and improves the decoder to utilize non-immediately decodable coded symbols. The simulation results demonstrate that our proposed schemes achieve lower full-recovery overhead compared to existing schemes.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Qingqing Cheng, Zhenguo Shi, Jinhong Yuan, Paul G. Fitzpatrick, Taka Sakurai
Summary: This paper proposes a contrastive learning-based environmentally robust signal detection approach for orthogonal delay-Doppler division multiplexing (ODDM) systems. By leveraging both positive and negative samples in the training dataset, more comprehensive signal features can be extracted using a convolutional neural network and recurrent encoder-decoder. Data augmentation and adaptive updating scheme are introduced to improve environmental robustness. Simulation results show that the proposed approach outperforms existing methods in terms of detection accuracy, environmental robustness, and convergence rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Qiang Sun, Hongwu Liu, Shen Yan, Theodoros A. Tsiftsis, Jinhong Yuan
Summary: In this letter, the joint optimization of transmit power allocation and receive/passive beamforming in a RIS-assisted uplink RSMA system is investigated. An AO algorithm is proposed to optimize the receive/passive beamforming and transmit power allocation. Simulation results demonstrate that the proposed AO algorithm achieves a higher achievable rate than existing benchmark schemes.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Zhifeng Tang, Zhuo Sun, Nan Yang, Xiangyun Zhou
Summary: In this paper, the average age of information (AoI) and the average peak AoI (PAoI) of a multiuser mobile edge computing (MEC) system are analyzed. Three different computing schemes are considered: local computing, edge computing, and partial computing. Closed-form expressions for the average AoI and average PAoI are derived, and upper and lower bounds on the average AoI are provided to examine the optimal offloading decision. Simulation results are used to verify the analysis and study the impact of system parameters on AoI performance.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
Article
Telecommunications
Weijie Yuan, Zhiqing Wei, Jiamo Jiang, Shun Zhang, Jinhong Yuan, Pingzhi Fan
CHINA COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Boyu Ning, Zhongbao Tian, Weidong Mei, Zhi Chen, Chong Han, Shaoqian Li, Jinhong Yuan, Rui Zhang
Summary: This paper provides a review of beamforming technologies for terahertz ultra-massive multiple-input-multiple-output (UM-MIMO) systems. It presents the system model, channel parameters, and discusses the far-field and near-field assumptions in terahertz UM-MIMO. The beam training strategy in terahertz band is introduced, along with codebook design approaches. The paper also explores intelligent-reflecting-surface (IRS)-assisted joint beamforming and multi-user beamforming in terahertz UM-MIMO systems.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
