4.6 Article

Measurement-device-independent quantum secure direct communication

期刊

出版社

SCIENCE PRESS
DOI: 10.1007/s11433-019-1450-8

关键词

quantum information; secure communication; quantum communication

资金

  1. National Basic Research Program of China [2017YFA0303700, 2015CB921001]
  2. National Natural Science Foundation of China [61726801, 11474168, 11974189, 11474181]
  3. European Research Council

向作者/读者索取更多资源

Quantum secure direct communication (QSDC) is a unique technique, which supports the secure transmission of confidential information directly through a quantum channel without the need for a secret key and for ciphertext. Hence this secure communication protocol fundamentally differs from its conventional counterparts. In this article, we report the first measurement-device-independent (MDI) QSDC protocol relying on sequences of entangled photon pairs and single photons. Explicitly, it eliminates the security loopholes associated with the measurement device. Additionally, this MDI technique is capable of doubling the communication distance of its conventional counterpart operating without using our MDI technique. We also conceive a protocol associated with linear optical Bell-basis measurements, where only two of the four Bell-basis states could be measured. When the number of qubits in a sequence reduces to 1, the MDI-QSDC protocol degenerates to a deterministic MDI quantum key distribution protocol.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Electrical & Electronic

Simultaneously Transmitting and Reflecting (STAR) RIS Assisted Over-the-Air Computation Systems

Xiongfei Zhai, Guojun Han, Yunlong Cai, Yuanwei Liu, Lajos Hanzo

Summary: The performance of over-the-air computation systems is affected by the harsh channel conditions of wireless devices, but this can be improved by using reconfigurable intelligent surfaces (RISs). Traditional RISs require that the wireless devices be located in a specific half-plane for reflection, which limits their benefits. To address this, a new family of simultaneously transmitting and reflecting RISs (STAR-RIS) is considered to improve computation accuracy across a wide coverage area. A joint beamforming design is proposed to minimize computation errors in STAR-RIS assisted AirComp systems. The proposed design outperforms benchmark schemes and achieves high computation accuracy. The performance is close to the best possible outcome based on the STAR-RIS design without phase-shift constraints.

IEEE TRANSACTIONS ON COMMUNICATIONS (2023)

Article Engineering, Electrical & Electronic

Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink

Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo

Summary: This paper proposes a low-complexity solution for the user and beam selection problem in beamspace millimeter-wave (mmWave) and terahertz (THz) massive MIMO. Unlike previous approaches, dirty paper coding (DPC) is introduced to address this problem. The properties of DPC sum rate in beamspace massive MIMO are revealed, showing its monotonic evolution with the number of users and beams selected. A set of algorithms with unique trade-offs is developed to simplify the joint user and beam selection problem, enabling simultaneous user and beam selection based on partial beamspace channels. The simulation results validate the effectiveness of the proposed design and analysis, demonstrating its superiority over prior solutions.

IEEE TRANSACTIONS ON COMMUNICATIONS (2023)

Article Engineering, Electrical & Electronic

Semi-Integrated-Sensing-and-Communication (Semi-ISaC): From OMA to NOMA

Chao Zhang, Wenqiang Yi, Yuanwei Liu, Lajos Hanzo

Summary: The new concept of Semi-ISaC is proposed for next-generation cellular networks, which allows for more flexibility in bandwidth allocation compared to the state-of-the-art. By investigating the evolution from OMA to NOMA, the proposed framework enhances the bandwidth efficiency. Analytical and simulation results show that Semi-ISaC has better channel capacity than conventional ISaC, and NOMA-based Semi-ISaC outperforms OMA-based Semi-ISaC.

IEEE TRANSACTIONS ON COMMUNICATIONS (2023)

Article Computer Science, Information Systems

Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Imperfect CSI

Kangda Zhi, Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan, Marco Di Renzo, Robert Schober, H. Vincent Poor, Jiangzhou Wang, Lajos Hanzo

Summary: This paper investigates the two-timescale transmission scheme for reconfigurable intelligent surface (RIS)-aided massive MIMO systems. The power scaling laws and the impact of various system parameters are analyzed. The performance under different conditions, such as spatially independent or correlated fading channels, is evaluated. The results show the benefits of deploying RIS close to cell-edge users and the modest gains obtained for users distributed over a large area.

IEEE TRANSACTIONS ON INFORMATION THEORY (2023)

Article Engineering, Electrical & Electronic

Joint Reconfigurable Intelligent Surface Location and Passive Beamforming Optimization for Maximizing the Secrecy-Rate

Haiyan Guo, Zhen Yang, Yulong Zou, Bin Lyu, Yuhan Jiang, Lajos Hanzo

Summary: This paper investigates the physical layer security (PLS) for reconfigurable intelligent surface (RIS) assisted wireless networks in the presence of a malicious eavesdropper. A new joint RIS location and passive beamforming (J-LPB) optimization scheme is proposed to maximize the secrecy rate. The optimal location of the RIS is analyzed, and a two-tier optimization algorithm is proposed to solve the nonconvex problem. Numerical results show that the secrecy rate of the proposed J-LPB optimization scheme outperforms the benchmarks, and the benefits are further increased with the number of RIS units.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

The Degrees-of-Freedom in Monostatic ISAC Channels: NLoS Exploitation vs. Reduction

Shihang Lu, Fan Liu, Lajos Hanzo

Summary: This paper analyzes the degrees of freedom (DoFs) obtained in monostatic integrated sensing and communications (ISAC). It explores the tradeoffs between Non-Line of Sight (NLoS) exploitation and reduction in the ISAC scenario. The optimization of transmit power for each signal path is discussed to maximize communication rate while maintaining sensing performance. The simulation results highlight the fundamental performance tradeoffs between sensing and communication in the ISAC channel.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Computer Science, Information Systems

The Reconfigurable Intelligent Surface-Aided Multi-Node IoT Downlink: Beamforming Design and Performance Analysis

Qingchao Li, Mohammed El-Hajjar, Ibrahim Hemadeh, Deepa Jagyasi, Arman Shojaeifard, Ertugrul Basar, Lajos Hanzo

Summary: This article proposes a low-complexity multiuser downlink communication system based on reconfigurable intelligent surfaces (RISs), where the phase shift and amplitude of each RIS element are appropriately configured to transmit multiuser information. The total power reflected from the RIS and the power allocation fraction assigned to each user are jointly optimized under practical constraints. The performance of the proposed RIS-aided single-RF downlink system is analyzed and compared to that of conventional multiple-input-multiple-output (MIMO) systems using multiple RF-chains.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Computer Science, Information Systems

Indoor Localization Based on Factor Graphs: A Unified Framework

Lyuxiao Yang, Nan Wu, Bin Li, Weijie Yuan, Lajos Hanzo

Summary: Indoor localization plays a crucial role in IoT services. A unified framework based on factor graphs is proposed for high-accuracy indoor localization. This framework integrates ranging and fingerprinting techniques efficiently to achieve a balance between accuracy and cost. Experimental results demonstrate that the proposed algorithm outperforms existing methods and achieves submeter localization accuracy.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Computer Science, Information Systems

Robust Linear Hybrid Beamforming Designs Relying on Imperfect CSI in mmWave MIMO IoT Networks

Kunwar Pritiraj Rajput, Priyanka Maity, Suraj Srivastava, Vikas Sharma, Naveen K. D. Venkategowda, Aditya K. Jagannatham, Lajos Hanzo

Summary: This paper proposes the design of linear hybrid beamformers for decentralized estimation of a vector parameter in a millimeter-wave multiple-input-multiple-output Internet of Things Network. The designs incorporate both total IoT network and individual IoT node power constraints, while eliminating the need for a baseband receiver combiner at the fusion center.

IEEE INTERNET OF THINGS JOURNAL (2023)

Article Engineering, Electrical & Electronic

A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization

Chengwen Xing, Tao Yu, Jinpeng Song, Zhong Zheng, Lian Zhao, Lajos Hanzo

Summary: This paper investigates the fundamental functional modules of channel estimation and data transmission in multiple-input multiple-output (MIMO) communication systems. A unified optimization framework is proposed to jointly optimize the linear transmit precoder and the training sequence using various metrics. The optimal designs for both statistical channel state information (CSI) and estimated CSI scenarios are derived based on the proposed framework.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

Low-Complexity Pareto-Optimal 3D Beamforming for the Full-Dimensional Multi-User Massive MIMO Downlink

W. Zhu, H. D. Tuan, E. Dutkiewicz, Y. Fang, L. Hanzo

Summary: FD m-MIMO systems use 2D rectangular antenna arrays to control signal transmission in both azimuth and elevation angles. We propose a new class of FD beamforming that combines the outer products of azimuth and elevation beamforming vectors. It outperforms 2D beamforming and performs close to the massive FD counterpart in terms of users' rates. Additionally, our outer product-based Gaussian signaling solution can even outperform FD beamforming.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

Sparse Bandit Learning Based Location Management for Space-Ground Integrated Networks

Huasen He, Changkun Qin, Shuangwu Chen, Xiaofeng Jiang, Jian Yang, Lajos Hanzo

Summary: The Space-Ground Integrated Network (SGIN) concept is a promising solution for providing seamless global coverage. The challenge of managing the location of satellites and wireless terminals in SGIN is addressed by using a split identifier (ID) and Network Address (NA) based design. This design utilizes the storage capacity of Geostationary Earth Orbit Satellites (GEOSs) and Low Earth Orbiting Satellites (LEOSs) to create a spatially distributed binding resolution system and optimize caching rewards.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Computer Science, Information Systems

EXIT-Chart Aided Design of Irregular Multiple-Rate Quantum Turbo Block Codes

Daryus Chandra, Soon Xin Ng, Lajos Hanzo

Summary: This study proposes a novel quantum Turbo short-block code design that achieves multiple quantum coding rates. The design uses multiple-rate quantum short-block codes as the outer codes and a quantum unity-rate code as the inner code. Simulation results show that the proposed design performs close to the ultimate limit of the quantum hashing bound.

IEEE ACCESS (2023)

Article Engineering, Electrical & Electronic

Soft-In Soft-Out Polar Decoding Aided Three-Stage Concatenated Iterative MIMO-Turbo Transceivers

Zeynep B. Kaykac Egilmez, Robert G. Maunder, Mohammed El-Hajjar, Lajos Hanzo

Summary: A novel soft-input soft-output (SISO) polar decoding algorithm is proposed, which leverages a hybrid of Soft Cancellation (SCAN) and g-function aided-SCAN (G-SCAN) decoding. The algorithm is capable of iterating between an inner and outer decoder in a three-stage serial concatenated iterative receiver. Additionally, the paper presents the Three-Dimensional (3D) Extrinsic Information Transfer (EXIT) chart analysis of polar codes for the first time, characterizing the iterative exchange of extrinsic information between the three concatenated stages. The proposed SISO scheme offers a complexity reduction and SNR gain compared to benchmarkers.

IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY (2023)

Article Engineering, Electrical & Electronic

Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning

Shubham Saxena, Suraj Srivastava, Saurabh Sharma, Aditya K. Jagannatham, Lajos Hanzo

Summary: This study proposes a sparse multipath CIR estimation scheme for optical OFDM visible light communication systems. The proposed method has reduced pilot overhead compared to other CE techniques and outperforms them in various metrics.

IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (2023)

暂无数据