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13th International Conference on wireless communications and Signal Processing, WCSP 2021

作者： Li, Jianlong Zhao, Lindong Li, Ang Kang, Bin Chen, Mingkai Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing China

ISBN: (纸本)9781665407854

Tactile Internet, as the advancement of fifth generation (5G) mobile communication, enables users to interact with remote environment and gives users tactile sense across long distances. Tactile Internet achieves the evolution of object perception mode and has broad commercial prospects, such as telesurgery and intelligent transportation. However, it also puts forward to higher requirements, such as lower delay and higher reliability. How to achieve ultra-reliable low-latency transmission has become a significant technical challenge. To get over this dilemma, we first introduce a mobile edge computing (MEC) computation offloading architecture in the Tactile Internet scenario. Then the quality of experience (QoE) maximization problem in the MEC computing offloading architecture under binary computing mode is studied, subject to the constraints of delay and reliability. The closed-form expressions of QoE and end-to-end (E2E) delay for tactile users are derived. Subsequently, an optimal user computing mode selection and a computing resource allocation scheme is proposed. Offloading Decision (OD) and Computing Resource Allocation (CRA) algorithms are, respectively, proposed for solving the formulated problem. The simulation results prove the superiority of our proposed scheme to reduce E2E delay and improve users' QoE while ensuring reliability requirements. © 2021 IEEE.

关键词： Resource allocation

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sensor node-assisted asynchronous cooperative spectrum sensing for cognitive radio network

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The Journal of China Universities of Posts and Telecommunications 2014年第5期21卷 17-23页

作者： CAO Kai-tian WANG Dong-lin Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications National Mobile Communications Research Laboratory Southeast University Department of Electrical and Computer Engineering New York Institute of Technology (Nanjing Campus)

In order to take advantage of the asynchronous sensing information, alleviate the sensing overhead of secondary users （SUs） and improve the detection performance, a sensor node-assisted asynchronous cooperative spectrum sensing （SN-ACSS） scheme for cognitive radio （CR） network （CRN） was proposed. In SN-ACSS, each SU is surrounded by sensor nodes （SNs）, which asynchronously make hard decisions and soft decisions based on the Bayesian fusion rule instead of the SU. The SU combines these soft decisions and makes the local soft decision. Finally, the fusion center （FC） fuses the local soft decisions transmitted from SUs with different weight coefficients to attain the final soft decision. Besides, the impact of the statistics of licensed band occupancy on detection performance and the fact that different SNs have different sensing contributions are also considered in SN-ACSS scheme. Numerical results show that compared with the conventional synchronous cooperative spectrum sensing （SCSS） and the existing ACSS schemes, SN-ACSS algorithm achieves a better detection performance and lower cost with the same number of SNs.

关键词： cognitive radio asynchronous cooperative spectrum sensing Bayesian fusion rule ON-OFF model soft decision

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Tactile-assisted point cloud super-resolution

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Chinese Optics Letters 2025年第5期23卷 051102-051102页

作者： Haoran Shen Puzheng Wang Ming Lu Chi Zhang Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

With the rapid advancement of three-dimensional (3D) scanners and 3D point cloud acquisition technology, the application of 3D point clouds has been increasingly expanding in various fields. However, due to the limitations of 3D sensors, the collected point clouds are often sparse and non-uniform. In this work, we introduce local tactile information into the point cloud super-resolution task to aid in enhancing the resolution of the point cloud using fine-grained local details. Specifically, the local tactile point cloud is denser and more accurate compared to the low-resolution point cloud. By leveraging tactile information, we can obtain better local features. Therefore, we propose a feature extraction module that can efficiently fuse visual information with dense local tactile information. This module leverages the features from both modalities to achieve improved super-resolution results. In addition, we introduce a point cloud super-resolution dataset that includes tactile information. Qualitative and quantitative experiments show that our work performs much better than existing similar works that do not include tactile information, both in terms of handling low-resolution inputs and revealing high-fidelity details.

关键词： Deep learning Point clouds sensor networks Super resolution imaging Superresolution Three dimensional reconstruction

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SAE-TOPSIS algorithm for vertical handoff decision in heterogeneous wireless networks

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High technology Letters 2012年第4期18卷 382-386页

作者：刘胜美 Pan Su Mi Zhengkun Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 P. R. China

An improved technique for order preference by similarity to ideal solution （TOPSIS） algorithm, SAE-TOPSIS, is proposed for the vertical handoff decision in heterogeneous wireless networks. The signal to interference plus noise ratio （SINR） effects, analytic hierarchy process （AHP） and infor- mation entropy （SAE） weight method were introduced into the algorithm. Handoff decision meeting the multi-attribute quality of service （QoS） requirement is made according to an attribute matrix and weight vector using the TOPSIS algorithm. The simulation results have shown that the proposed algo- rithm can provide satisfactory performance fitted to the characteristics of the traffic.

关键词： heterogeneous wireless networks vertical handoff technique for order preferenceby similarity to ideal solution (TOPSIS) analytic hierarchy process (AHP) entropy signal to in-terference plus noise ratio (SINR)

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An open-source project for real-time image semantic segmentation

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Science China(Information Sciences) 2019年第12期62卷 246-247页

作者： Quan ZHOU Yu WANG Jia LIU Xin JIN Longin Jan LATECKI National Engineering Research Center of Communication and Network Technology Nanjing University of Posts and Telecommunications Key Laboratory of Ministry of Education for Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Beijing Electronic Science and Technology Institute State Key Laboratory of Virtual Reality Technology and Systems Beihang University Department of Computer and Information Sciences Temple University

Recent years have witnessed great progress of deep convolutional neural networks (DCNNs) for solving scene understanding tasks [1–3]. These advances prefer to construct deeper and larger net-

关键词： image An open-source project for real-time image semantic segmentation

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Direct measurement of the concurrence for two-qubit electron spin entangled pure state based on charge detection

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Chinese Physics B 2015年第7期24卷 125-129页

作者：刘炯周澜盛宇波 Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications College of Mathematics and Physics Nanjing University of Posts and Telecommunications

We propose a protocol for directly measuring the concurrence of a two-qubit electronic pure entangled state. To complete this task, we first design a parity-check measurement（PCM） which is constructed by two polarization beam splitters（PBSs） and a charge detector. By using the PCM for three rounds, we can achieve the concurrence by calculating the total probability of picking up the odd parity states from the initial states. Since the conduction electron may be a good candidate for the realization of quantum computation, this protocol may be useful in future solid quantum computation.

关键词： quantum computation parity check measurement entanglement

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Coverage Enhancement Strategy Based on Novel Perception and Co-evolution for Multimedia sensor networks

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电子学报(英文版) 2013年第1期22卷 135-140页

作者： XIAO Fu WANG Jing SUN Lijuan WANG Ruchuan GUO Jian College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing 210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou 215006 China

Coverage enhancement is one of the hot research topics in wireless multimedia sensor net- works. A novel Coverage-enhancing algorithm based on three-dimensional Directional perception and co-evolution (DPCCA) is proposed in multimedia sensor networks on the basis of the model whose pitch angle and deviation angle can be adjusted. Based on the proposed elliptical cone sensing model, we can derive the coverage area of the node and calculate the optimal pitch angle according the information of monitoring area and the nodes, and then the deviation angle is optimized based on co-evolution al- gorithm, which eliminate the overlapped and blind sensing area effectively. A set of simulations demonstrate the ef- fectiveness of our algorithm in coverage ratio.

关键词：无线多媒体传感器网络网络覆盖协同进化感知增强算法网络工程测量模型

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Face recognition using SIFT features under 3D meshes

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Journal of Central South University 2015年第5期22卷 1817-1825页

作者：张诚谷宇章胡珂立王营冠 Key Laboratory of Wireless Sensor Network & Communication Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences Department of Computer Science and Engineering Shaoxing University

Expression, occlusion, and pose variations are three main challenges for 3D face recognition. A novel method is presented to address 3D face recognition using scale-invariant feature transform(SIFT) features on 3D meshes. After preprocessing, shape index extrema on the 3D facial surface are selected as keypoints in the difference scale space and the unstable keypoints are removed after two screening steps. Then, a local coordinate system for each keypoint is established by principal component analysis(PCA).Next, two local geometric features are extracted around each keypoint through the local coordinate system. Additionally, the features are augmented by the symmetrization according to the approximate left-right symmetry in human face. The proposed method is evaluated on the Bosphorus, BU-3DFE, and Gavab databases, respectively. Good results are achieved on these three datasets. As a result, the proposed method proves robust to facial expression variations, partial external occlusions and large pose changes.

关键词： 3D face recognition seale-invariant feature transform (SIFT) expression occlusion large pose changes 3D meshes

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Electronic cluster state entanglement concentration based on charge detection

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Chinese Physics B 2014年第2期23卷 138-143页

作者：刘炯赵圣阳周澜盛宇波 Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of Education Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications College of Mathematics & Physics Nanjing University of Posts and Telecommunications

We propose an efficient entanglement concentration protocol （ECP） based on electron-spin cluster states assisted with single electrons. In the ECP, we adopt the electron polarization beam splitter （PBS） and the charge detector to construct the quantum nondemolition measurement. According to the result of the measurement of the charge detection, we can ultimately obtain the maximally entangled cluster states. Moreover, the discarded items can be reused in the next round to reach a high success probability. This ECP may be useful in current solid quantum computation.

关键词： entanglement concentration quantum computation cluster states

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Adaptive Video Back Projection Super-resolution Method Using Non-local Prior

Adaptive Video Back Projection Super-resolution Method Using...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Yilun Zhang Zongliang Gan Xiuchang Zhu Mingming Cao Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matching to search for the pixels with similar structural content from video sequences. In this process, an adaptive technique is introduced to avoid redundant search. Second, we do initial interpolation to the input video sequences and a bilateral filtering is applied to the interpolation frames to achieve edge-preserving image smoothing. Third, a video non-local means filter is applied to modify the error image in iteration step of the iterative back projection. The experimental result shows that the proposed method can increase image details, moreover, the chessboard effect and ringing effect along image edges can be removed and sharp and clear edges in visual perception will be obtained.

关键词： non-lcoal back projection video motion estimation super-resolution

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