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Complete hyperentangled Greenberger–Horne–Zeilinger state analysis for polarization and time-bin hyperentanglement

Chinese Physics B 2023年第6期32卷 122-126页

作者：曾志 Institute of Signal Processing and Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China

We present an efficient scheme for the complete analysis of hyperentangled Greenberger–Horne–Zeilinger(GHZ)state in polarization and time-bin degrees of freedom with two steps. Firstly, the polarization GHZ state is distinguished completely and nondestructively, resorting to the controlled phase flip(CPF) gate constructed by the cavity-assisted interaction. Subsequently, the time-bin GHZ state is analyzed by using the preserved polarization entanglement. With the help of CPF gate and self-assisted mechanism, our scheme can be directly generalized to the complete N-photon hyperentangled GHZ state analysis, and it may have potential applications in the hyperentanglement-based quantum communication.

关键词： hyperentangled state analysis polarization-time-bin hyperentanglement controlled phase flip(CPF)gate

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Offloading Model of 5G Intelligent Terminal Based on UC-MEC and Node Consensus Mechanism 15

Offloading Model of 5G Intelligent Terminal Based on UC-MEC ...

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15th IEEE International Conference on wireless communications and Signal Processing, WCSP 2023

作者： Wang, Lei Su, Yufei Dou, Haie Cui, Jingwu Zheng, Baoyu Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Nanjing China Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China

ISBN: (纸本)9798350324662

Offloading for 5G intelligent terminals is an important requirement of mobile edge computing (MEC), which can reduce the load of terminal devices and provide more powerful computing power and services. However, due to the interference between different users and the waste of a lot of resources, the role of MEC is greatly limited. In the article, energy-saving blockchain technology is introduced into the user-centric MEC (UC-MEC) system. However, in UC-MEC, it is necessary to comprehensively consider task offloading and energy consumption optimization in the consensus process to improve overall energy efficiency. To solve these problems, a new offloading model of 5G intelligent terminal is proposed, which realizes safe and efficient resource utilization by jointly optimizing the bandwidth and computing resource allocation of access point (AP). The research also proposed a resource consensus mechanism based on Zookeeper atomic broadcast (RC-ZAB), and the parallel optimization framework of relaxed hybrid alternative direction method of multipliers (RH-ADMM) to solve the problems of resource transaction and energy consumption optimization. The experimental results show that compared with the comparison method, the total energy consumption of the proposed method is reduced by 41.39% at most, and the total delay is reduced by 29.80% at most. © 2023 IEEE.

关键词： blockchain Mobile edge computing resource consensus task offloading user-centric

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Mobility-Aware Multi-Task Migration and Offloading Scheme for Internet of Vehicles

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Chinese Journal of Electronics 2023年第6期32卷 1192-1202页

作者： LI Xujie TANG Jing XU Yuan SUN Ying College of Computer and Information Hohai University State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Key Lab for Wireless Sensor Network and Communication Shanghai Institute of Microsystem School of Information Engineering Jiangsu Open University

In Internet of vehicles, vehicular edge computing(VEC) as a new paradigm can effectively accomplish various tasks. Due to limited computing resources of the roadside units(RSUs), computing ability of vehicles can be a powerful supplement to computing resources. Then the task to be processed in data center can be offloaded to the vehicles by the RSUs. Due to mobility of the vehicles, the tasks will be migrated among the RSUs. How to effectively offload multiple tasks to the vehicles for processing is a challenging problem. A mobility-aware multi-task migration and offloading scheme for Internet of vehicles is presented and analyzed. Considering the coupling between migration and offloading, the joint migration and offloading optimization problem is formulated. The problem is a NP-hard problem and it is very hard to be solved by the conventional methods. To tackle the difficult problem, the idea of alternating optimization and divide and conquer is introduced. The problem can be decoupled into two sub-problems: computing resource allocation problem and vehicle node selection problem. If the vehicle node selection is given, the problem can be solved based on Lagrange function. And if the allocation of computing resource is given, the problem turns into a 0-1 integer programming problem, and the linear relaxation of branch bound algorithm is introduced to solve it. Then the optimization value is obtained through continuous iteration. Simulation results show that the proposed algorithm can effectively improve system performance.

关键词： Costs Computational modeling System performance Simulation Programming Multitasking Resource management

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Orthogonal-triangular decomposition ghost imaging

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Chinese Physics B 2022年第8期31卷 399-404页

作者： Jin-Fen Liu Le Wang Sheng-Mei Zhao Institute of Signal Processing and Transmission Nanjing University of Posts and TelecommunicationsNanjing 210003China Nanjing Tech University Pujiang Institute Nanjing 211222China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing 210003China

Ghost imaging(GI)offers great potential with respect to conventional imaging ***,there are still some obstacles for reconstructing images with high quality,especially in the case that the orthogonal measurement matrix is impossible to *** this paper,we propose a new scheme based on the orthogonal-triangular(QR)decomposition,named QR decomposition ghost imaging(QRGI)to reconstruct a better image with good *** the scheme,we can change the randomly non-orthogonal measurement matrix into orthonormal matrix by performing QR decomposition in two cases.(1)When the random measurement matrix is square,it can be firstly decomposed into an orthogonal matrix Q and an upper triangular matrix *** let the off-diagonal values of R equal to 0.0,the diagonal elements of R equal to a constant k,where k is the average of all values of the main diagonal,so the resulting measurement matrix can be obtained.(2)When the random measurement matrix is with full rank,we firstly compute its transpose,and followed with above QR ***,the image of the object can be reconstructed by correlating the new measurement matrix and corresponding bucket *** experimental and simulation results verify the feasibility of the proposed QRGI ***,the results also show that the proposed QRGI scheme could improve the imaging quality comparing to traditional GI(TGI)and differential GI(DGI).Besides,in comparison with the singular value decomposition ghost imaging(SVDGI),the imaging quality and the reconstruction time by using QRGI are similar to those by using SVDGI,while the computing time(the time consuming on the light patterns computation)is substantially shortened.

关键词： orthogonal-triangular(QR)decomposition ghost imaging correlated imaging

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CVCA: A Complex-Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication

CVCA: A Complex-Valued Classifiable Autoencoder for MmWave M...

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2023 IEEE INFOCOM Conference on Computer communications Workshops, INFOCOM WKSHPS 2023

作者： Zeng, Xinyuan Wang, Chao Wang, Cheng-Cai Li, Zan Xidian University State Key Laboratory of Integrated Service Network Xi'an710071 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781665494274

For protecting millimeter wave (mmWave) communications from clone attacks, this paper employs the deep learning to propose a physical layer authentication (PLA) approach for detecting attackers and classifying multiple legitimate nodes simultaneously. Different from conventional upper-layer authentication mechanisms, the proposed PLA approach exploits the spatial and temporal characteristics of mmWave channels to extract the unique fingerprints for building a lightweight channel-based authentication method. However, the existing threshold-based PLA methods could not discriminate multiple nodes, and supervised learning based approaches have limited application due to the unavailab.lity of attackers' channel state information (CSI) in practice. Besides, traditional real-valued deep neural networks cannot exploit the phase information of complex channels efficiently, which is unsuitable for designing the PLA scheme. Considering these, we propose a complex-valued classifiable autoencoder induced PLA scheme that includes a novel complex-valued long short-term memory (LSTM) module. Simulation results validate the superiority of our proposed PLA approach by comparing it with existing approaches and demonstrate that the detection probability of clone attacks positively correlates with antenna number. The classification performance is satisfactory even under the challenging experimental condition. © 2023 IEEE.

关键词： Authentication

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A Positioning Method and Realization on Single Satellites in Different Orbits Using TDOA

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China communications 2023年第7期20卷 108-121页

作者： Laiding Zhao Xun Zhu Gengxin Zhang Zhaowen Wang College of Telecommunications and Information Engineering Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China “Telecommunication and Network”National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China Shanghai Aerospace Electronic Technology Institute Shanghai 201109China

The main geolocation technology currently used in COSPAS-SARSAT system is TDOA/FDOA or three-star TDOA,the principle is to determine the location of the signal source by using the difference in arrival time and frequency of the wireless signal between different ***,ground monitoring stations need to be equipped with more than two antenna receiving stations,and multiple satellites should be able to simultaneously relay the distress signal from the target source in order to achieve the geolocation ***,when the ground receiving system has only one antenna receiving station,or the target source is in a heavily obscured environment,the ground side is unable to receive the forwarded signals from multiple satellites at the same time,which will make it impossible to *** address these problems,in this paper,a time-sharing single satellite geolocations method based on different orbits is proposed for the first *** method uses one or several low-earth orbit satellites(LEO)and mediumearth orbit satellites(MEO)in the visible area,and the receiving station only needs one pair of receiving antennas to complete the *** can effectively compensate for the shortcomings of the traditional TDOA using the same moment and have better positioning accuracy compared with the single satellite in the same *** to the limited experimental conditions,this paper tests the navigation satellite using different orbit time-sharing single satellite geolocations,and proves that the positioning method has high positioning accuracy and has certain promotion and application value.

关键词： different orbit time-sharing non-convex optimization single satellite TDOA

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Speech Signal Processing on Graphs: Graph Topology, Graph Frequency Analysis and Denoising

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Chinese Journal of Electronics 2020年第5期29卷 926-936页

作者： WANG Tingting GUO Haiyan LYU Bin YANG Zhen Broadband Wireless Communication and Sensor Network Technology Key Lab Nanjing University of Posts and Telecommunications

The paper investigates the hidden relationships among speech samples by applying graph tools. Specifically, we first estimate an applicable graph topology for unstructured speech signals, which can map speech signals into the vertex domain successfully and construct as Speech graph signals(SGSs). On the basis, we define a new graph Fourier transform for SGSs, which can investigate its related graph Fourier analysis. Moreover,we propose a new Graph structure spectral subtraction(GSSS) method for speech enhancement under different noisy environments. Simulation results show that the performance of the GSSS method can be significantly improved than the classical Basic spectral subtraction(BSS) method in terms of the average Segmental signal-tonoise ratio(SSNR), Perceptual evaluation of speech quality(PESQ) and the computational complexity.

关键词： Graph Fourier transform Graph topology graph frequency analysis speech processing graph topology unstructured speech signals GSSS method Speech graph Fourier analysis graph theory Fourier transforms speech quality classical Basic spectral subtraction method Denoising speech signal processing perceptual evaluation of speech quality computational complexity speech samples Graph structure spectral subtraction method Graph signal processing segmental signal-to-noise ratio speech enhancement graph tools Fourier analysis SGSs

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Distributed Deep Learning for Cooperative Computation Offloading in Low Earth Orbit Satellite networks

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China communications 2022年第4期19卷 230-243页

作者： Qingqing Tang Zesong Fei Bin Li School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Computer and Software Nanjing University of Information Science and TechnologyNanjing 210044China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of EducationNanjing 210003China

Low earth orbit(LEO) satellite network is an important development trend for future mobile communication systems, which can truly realize the“ubiquitous connection” of the whole world. In this paper, we present a cooperative computation offloading in the LEO satellite network with a three-tier computation architecture by leveraging the vertical cooperation among ground users, LEO satellites, and the cloud server, and the horizontal cooperation between LEO satellites. To improve the quality of service for ground users, we optimize the computation offloading decisions to minimize the total execution delay for ground users subject to the limited battery capacity of ground users and the computation capability of each LEO satellite. However, the formulated problem is a large-scale nonlinear integer programming problem as the number of ground users and LEO satellites increases, which is difficult to solve with general optimization algorithms. To address this challenging problem, we propose a distributed deep learning-based cooperative computation offloading(DDLCCO) algorithm, where multiple parallel deep neural networks(DNNs) are adopted to learn the computation offloading strategy dynamically. Simulation results show that the proposed algorithm can achieve near-optimal performance with low computational complexity compared with other computation offloading strategies.

关键词： LEO satellite networks computation offloading deep neural networks

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Semantic Segmentation Facilitates Semantic communication in Surveillance Video

Semantic Segmentation Facilitates Semantic Communication in ...

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IEEE International Conference on communications in China (ICCC)

作者： Wenbo Ma Yu Xie Congyan Wang Kaipeng Zheng Mingkai Chen Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350378412

ISBN: (纸本)9798350378429

With the development of surveillance cameras, more communication resources are used to transmit surveillance videos. However, some previous video compression methods have a fixed compression standard and are not effective in unknown scenarios. To address this problem, we propose a Task-driven Semantic communication with Unsupervised Semantic Segmentation (TSCUSS) for surveillance video, in order to improve transmission efficiency. First, at the transmitter, we segment the video into semantic foreground and fixed background model. Second, in transmission, real-time transmission is performed for the semantic foreground and single transmission is performed for the background model. Third, at the receiver, the semantic foreground and background model are seamlessly merged to fully reproduce the original semantic content. Finally, experiments show that our proposed method achieves an average bandwidth saving of $78.34 \%$ on both CDnet 2014 and ABODA datasets, and our semantic foreground segmentation dominates in terms of accuracy and structural similarity of foreground-background fusion.

关键词： Accuracy Transmitters Surveillance Semantic segmentation Semantics Receivers Bandwidth

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Interfering-or-not-interfering quantum key distribution

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Physical Review A 2024年第5期109卷 052609-052609页

作者： Yang Yu Wei Li Le Wang Shengmei Zhao Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China

Single-photon interference is the essential key for the recently well-known twin-field quantum key distribution (TF-QKD) to break the linear rate-distance limit and requires beams with identical polarizations. Inspired by this fact and aiming to improve the secret key rate, we propose a hybrid high-dimensional QKD named the interfering-or-not-interfering QKD (INI-QKD), in which both the polarization and phase degrees of freedom (DOFs) are adopted as information carriers. The protocol's security proof is analyzed based on entanglement distillation and three defined effective events, X1, X2, and X3. The simulation shows that the X1 event, from which only the phase information is extracted, exceeds TF-QKD's variants, while the X2 and X3 events, in which both types of information are decoded, can achieve twice the secret key rate as measurement-device-independent QKD (MDI-QKD). It is also proven that by adding the polarization DOF, INI-QKD obtains more resistance to phase mismatch than TF-QKD. Remarkably, these can all be achieved by simply altering the TF-QKD's measurement setup to that of MDI-QKD.

关键词： Quantum communication Quantum communication, protocols & technology Quantum cryptography

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