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Experimental verification of steerability via geometric Bell-like inequalities

Physical Review A 2018年第3期97卷 032107-032107页

作者： Jian Li Cen-Yang Wang Tong-Jun Liu Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing 210003 China

Quantum steering is one form of quantum correlations interpolating between entanglement and Bell nonlocality, which in some cases can be detected by various steering inequalities. Recently, a remarkable and useful steerability criterion via geometric Bell-like inequalities was established [M. Zukowski, A. Dutta, and Z. Yin, Phys. Rev. A 91, 032107 (2015)]. We report an experimental investigation of this steering criterion and verify the geometric Bell-like steering inequality experimentally by using of the Werner states. The results demonstrate that the geometric Bell-like steering inequality is a convenient tool to detect quantum steering both theoretically and practically.

关键词： Quantum correlations in quantum information

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Research on heart sound identification technology

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Science China(Information Sciences) 2012年第2期55卷 281-292页

作者： CHENG XieFeng1,3,MA Yong2,LIU Chen1,ZHANG XueJun1 & GUO YuFeng11School of Electronic Science and Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China 2School of Computer Science and technology,Nanjing University of Science and technology,Nanjing 210094,China 3key lab.of Broudbard wireless communication and sensor network technology(Nanjing University of Posts and Telecommunications),Ministry of Education,Nanjing 210094,China 1. School of Electronic Science and Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China3. Ministry of Education Key Lab of Broudbard Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Nanjing 210094 China2. School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China

In this article,both the basic principles and the experimental methods of identity recognition technology based on heart sounds are ***,the characteristics of heart sounds and the feasibility of heart sounds as a biometric were analyzed.A synthetic model of heart sounds was then developed based on a family of wavelets;Finally,the characteristic parameters of heart sounds were extracted by using the heart sounds linear band frequency cepstra(HS-LBFC)with a specified configuration,and the similarity distance was adopted for heart sound *** highlight the difference in two heart sound signals between the time and frequency domains,a construction method of the heart sound wavelet,a calculation method of the parameters of a synthetic model,selection of the characteristic parameters of heart sounds and the corresponding data processing technology were *** experimental results showed that the proposed method exhibited excellent performance and practicability.

关键词： biometric wavelet family of heart sounds synthetic model of heart sounds heart sounds linear band frequency cepstra(HS-LBFC)

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QoE-Driven Distributed Content Segments Sharing with Service Differentiation in D2D network

QoE-Driven Distributed Content Segments Sharing with Service...

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International wireless communications and Mobile Computing Conference, IWCMC

作者： Yiming Song Mingkai Chen Xin Wei Ting Qi Xuguang Zhang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

Content sharing via device to device (D2D) communication is considered as a promising method to improve the performance of cellular network. However, in D2D networks, the placement of multimedia content is still an complex and urgent issue. Hence, it is significant to figure out a fine-grained content collab.ration placement and delivery strategy in D2D networks. For the efficient utilization of the storage and downloading capacity of user devices, we introduce a distributed content segment sharing strategy. In order to improve QoE with limited network resource, such strategy provides users multimedia service with differentiated quality. Then, we formulate QoE-driven D2D content segment placement with service differentiation as a submodular maximization problem, and a polynomial time algorithm is proposed. Simulation results shows that proposed algorithm outperforms the algorithms without distributed content segments sharing mechanism in terms of QoE. It also demonstrates that proposed algorithm has better on the performance of cache content diversity and fairness.

关键词： Device-to-device communication Quality of experience Optimization Performance evaluation Quality of service Frequency modulation Servers

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Tactile Signal Reconstruction Assisted by Video Processing

Tactile Signal Reconstruction Assisted by Video Processing

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Mingkai Chen Yu Xie Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781665450867

Because of prior knowledge, a person will deduce the strength of the contact force using only visual input. This research proposes a method for cross-modal signal processing to recover tactile information by using visual input. According to our method, visual information supplements tactile information as an auxiliary source. Our paper starts with a group of photos (GOPs) and uses them as input. Second, to identify regions of in-terest(ROI), we employ the low-rank foreground based attention mechanism (LAM). In order to determine contact force in video frames, we prefer to suggest a linear regression convolutional neural network (LRCNN). Results from experiments support our ability to rebuild sentience. Additionally, simulation results as compared to alternative methods of work, our method can save network costs while also increasing the accuracy of material identification.

关键词： wireless communication Visualization Costs Correlation Simulation Force Linear regression

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A Satellite Routing Algorithm Based on Optimization of Both Delay and Bandwidth

A Satellite Routing Algorithm Based on Optimization of Both ...

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International Conference on wireless communications, networking and Mobile Computing (WiCom)

作者： Deng-yin Zhang Sha Liu Man-li Yin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

The merits of the routing algorithm will have a direct impact on the performance of a communication network. Traditional satellite routing algorithms are based on shortest path algorithm, the simply considering least delay, the least hop or the best link-bandwidth utilization. For the request of real-time in information network, a routing algorithm BDSR (bandwidth-delay satellite routing) comprehensively considering both delay and bandwidth between satellite-link is proposed in this paper. Moreover, we prove that the routing algorithm is an ideal one that is suitable for LEO satellite network on NS2 simulation platform.

关键词： Bandwidth Delay Routing Low earth orbit satellites Topology network topology

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Game-Theoretic Deep Reinforcement Learning for Task Offloading in Heterogeneous MEC Systems

Game-Theoretic Deep Reinforcement Learning for Task Offloadi...

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International Conference on wireless communications and Signal Processing (WCSP)

作者： Han Yu Haie Dou Xinmian Xu Jingwu Cui Lei Wang Chen Liu Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350390643

ISBN: (纸本)9798350390650

The emergence of new applications has increased the demand of mobile users for edge computing. Therefore, the optimization of base station load balancing and task offloading is particularly important. In this paper, a two-tier heterogeneous mobile edge computing (MEC) system based on Stackelberg Game (SG) is studied. The introduction of SG can improve user association flexibility while reducing base station load. The introduction of network slicing can classify users according to different types, which increases the universality of the proposed framework. To solve the above problem, we map an optimization problem of efficiency, computation delay and computation energy consumption. Due to the non-convexity of the optimization problem, the Multi-agent Deep Deterministic Policy Gradient (MADDPG) algorithm based on SG is proposed in this paper. The gradient descent strategy can converge faster and obtain the optimal solution of user association policy and unload policy. Through simulation, it is verified that the proposed scheme can obtain lower computation delay and computation energy consumption on the basis of solving the problem of base station overload.

关键词： wireless communication Base stations Energy consumption Simulation Signal processing algorithms Signal processing Load management Delays Computational efficiency Optimization

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A High Performance Frequency Offset Estimation Method for OFDM

A High Performance Frequency Offset Estimation Method for OF...

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International Conference on Intelligent System Design and Engineering Application (ISDEA)

作者： Donghua Zhang Lianrui Yu Peng Zhou Qiuyuan Huang Wei Chen Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network School of Information Engineering Wuhan University of Technology Wuhan China

In this paper, we proposed a three-step frequency offset estimation method using a special training frame designed for cable channel in OFDM systems. By making use of the PN-sequence preambles of the training frame, the coarse frequency offset estimation is achieved by the two initial steps. In order to estimate fine frequency offset, we utilize quartic method to eliminate the influence of modulation on the payload data of the training frame. By configuring the three-step estimation neatly, the proposed method makes it possible to realize large span of frequency offset estimation even to half of the system bandwidth, and has high estimation precision. Simulations in AWGN and multipath channels proved the validity of this technique.

关键词： OFDM Estimation Frequency estimation Frequency modulation Training Noise Frequency division multiplexing

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Resource Allocation Algorithm for Uplink OFDMA-based Cognitive Radio Systems

Resource Allocation Algorithm for Uplink OFDMA-based Cogniti...

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2011 IEEE 3rd International Conference on communication Software and networks(2011第三届通信软件与网络国际会议 ICCSN2011)

作者： Yanping Wang Longxiang Yang XuLiu Jiangsu Key Lab of Wireless Communications Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communications and Sensor Network Technology Nanjing China

This context addresses the subcarrier and power allocation problem in the uplink of an OFDMA system under the cognitive radio environment. The objective is to maximize the sum transmission rate of secondary users, without causing adverse interference to the primary users. We formulate the optimization problem subject to the individual power constraints and the interference constraints. We also propose two suboptimal power loading algorithms that are less complex and a new subcarrier allocation algorithm. The performance of the optimal scheme is compared with the performance of the suboptimal. Simulation results show that the optimal algorithm significantly improves the sunr transmission rate, and provides good convergence.

关键词： Cognitive radio power and subcarrier allocation uplink power and interference constraints

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Federated Knowledge Distillation Enabled Image Semantic communication

Federated Knowledge Distillation Enabled Image Semantic Comm...

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IEEE Conference on Global communications (GLOBECOM)

作者： Xinmian Xu Kaipeng Zheng Haie Dou Mingkai Chen Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

The transition from 5G to beyond 5G (B5G) heralds a shift towards more pervasive and intelligent communication trends. This evolution necessitates a departure from traditional information theory towards semantic communication (SemCom), propelled by artificial intelligence (AI), aimed at enhancing capacity and optimizing resources. Concurrently, image SemCom (ISC) emerges to empower image applications. However, ISC demands suitable devices and ample computing resources to support complex neural network models and their training, presenting a significant challenge. In response, we propose a federated semantic feature distillation (FedSFD) architecture to enhance the overall performance of ISC. Combining federated learning (FL) and feature distillation (FD), FedSFD facilitates the transfer of group feature knowledge. Specifically, the powerful server model refines itself by approximating the distance between its middle layer features and those of the devices via FD. Subsequently, lightweight device ISC models leverage FD to incorporate the server model’s knowledge during training. This iterative process is bolstered by the information bottleneck (IB)-based loss function, enhancing image compression and reconstruction capabilities. Notably, this architecture operates without necessitating a unified model, thereby offering improved privacy protection. Simulation experiments demonstrate that compared to the baseline, our approach can achieve superior integration capability for ISC at the noisy edge.

关键词： Training Image coding Federated learning 5G mobile communication Image edge detection Computer architecture Semantic communication Servers Artificial intelligence Image reconstruction

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Computation Offloading With Reinforcement Learning in D2D-MEC network

Computation Offloading With Reinforcement Learning in D2D-ME...

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International wireless communications and Mobile Computing Conference, IWCMC

作者： Gaibin Li Mingkai Chen Xin Wei Ting Qi Wenqin Zhuang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

ISBN: (数字)9781728131290

ISBN: (纸本)9781728131306

With the deployment of compute-intensive applications on mobile devices, some work aims to support these applications by enhancing mobile edge computing (MEC) using device-to-device (D2D) communication technology. Different from previous work, we investigate the energy consumption optimization of MEC assisted by idle user equipment (UE) in a mobile environment when combining the two technologies, and propose an optimization method for continuous time. In this paper, we build a D2D-MEC model with user mobility. To optimize the processing decision to save the energy consumption in continuous time under this model, we define long-term costs and formulate the problem of minimizing long-term costs as a markov decision process (MDP) problem. The complex MDP problem is decomposed into two sub-problems, where the explicit cost is minimized first and then the long-term cost. Due to the uncertainty of the environment caused by the mobility of the UE and the high dimensionality of the environmental information, we use the reinforcement learning method based on the neural network approximation to minimize the long-term cost.

关键词： Task analysis Device-to-device communication Energy consumption Servers Learning (artificial intelligence) Optimization Computational modeling

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