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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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SV-3D BSC: Semantic communications from Single View to 3D Reconstruction

SV-3D BSC: Semantic Communications from Single View to 3D Re...

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IEEE International Conference on communications in China (ICCC)

作者： Congyan Wang Hao Xia Wenbo Ma Xitao He Mingkai Chen Kaipeng Zheng 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 exploration of the virtual world, 3D reconstruction has drawn increasing attention. To achieve large-scale and low-latency virtual world interaction, data volume compression and visual experience are indispensable, but they tend to conflict in practice. Based on the above issues, we propose a semantic communication-based image transmission and 3D generation scheme (SV-3D BSC). First, we perform semantic segmentation on the image at the transmitter. In addition, at the receiver, we analyze the semantic symbols based on a common knowledge base and preliminarily restore the image through a generative adversarial network (GAN). Next, the restored image is further optimized for generating a Neural Radiance Fields (NeRF) representation. This scheme can greatly compress the data volume of virtual interaction and generate exquisite 3D models. Finally, experiments have shown that our scheme saves a lot of bandwidth and generates reasonable and colorful 3D models.

关键词： Solid modeling Three-dimensional displays Image coding Transmitters Semantics Receivers Neural radiance field

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Demonstration of Einstein–Podolsky–Rosen Steering with Multiple Observers via Sequential Measurements

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Chinese Physics Letters 2022年第11期39卷 1-5页

作者： Jian Li Yang Zhou Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Ministry of Education) Nanjing University of Posts and TelecommunicationsNanjing 210003China National Engineering Research Center of Telecommunication and Networks Nanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum correlation is a fundamental property that distinguishes quantum systems from classical ones,and is also a fragile resource under projective ***,it has been shown that a subsystem in entangled pairs can share nonlocalities with multiple observers in *** we present a new steering scenario where both subsystems are accessible by multiple *** results show that the two qubits in a singlet state can be simultaneously steered separately by two sequential observers.

关键词： Einstein projective subsystem

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Deep Learning Empowered Real-Time Haptic communications for IoT

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IEEE Transactions on Consumer Electronics 2024年

作者： Zhang, Xuguang Chen, Mingkai Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

The advancement of the Internet of Things (IoT) has enabled a variety of innovative consumer electronics applications. In particular, multi-modal applications integrating audio, video, and haptic interactions have emerged, offering users more immersive experiences and enhanced remote interaction capabilities. However, the distributed and fragmented nature of IoT network resources presents significant challenges for ensuring haptic communications under strict constraints. To address these challenges, this paper proposes a joint coding and network resource scheduling solution for haptic communications in IoT environments. First, we design a scalab.e and flexible haptic coding scheme that supports efficient and seamless haptic streaming across heterogeneous IoT networks. Second, we introduce a deep learning-based imperceptible Quality of Experience (QoE) recognition method, which uses emotional immersion as an evaluation metric to achieve unobtrusive QoE monitoring. Finally, based on user QoE feedback, we develop an on-demand cooperative network resource scheduling strategy to ensure high QoE, reduce network resource wastage, and optimize the utilization of fragmented IoT resources. Simulation results validate the effectiveness of the proposed architecture and strategies. © 1975-2011 IEEE.

关键词： network coding

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The Proof is in the Pudding: Decision-Oriented Machine-Type wireless Video Transmission

The Proof is in the Pudding: Decision-Oriented Machine-Type ...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Song, Jie Gao, Yun Wu, Dan Zhou, Liang Qian, Yi Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China Army Engineering University of Pla Institute of Communications Engineering Nanjing China University of Nebraska-Lincoln Department of Electrical and Computer Engineering Lincoln United States

ISBN: (纸本)9798350351255

With the rise of the Internet of Everything, machine-type wireless video applications like intelligent surveillance are increasingly becoming mainstream network services. However, the massive transmission of video streams heavily burdens wireless networks. Existing methods typically establish a correlation between the transmitted content and the quality of experience or service, making it challenging to balance trade-offs among decision quality, bandwidth utilization, and latency requirements. To address this issue fundamentally, this paper proposes a novel perspective by designing wireless video transmission strategies from the angle of decision quality, where only the content that impacts the decision outcomes is transmitted. The highlight of this paper is designing a lightweight yet efficient binary classifier that predicts whether the current content will change decision outcomes based on content discrepancies, measured only through pixel-level differences and macroblock-level similarity. Furthermore, these discrepancies can be used to distinguish the background, thereby further saving bandwidth by reusing the background information. Additionally, a fine-tuning module is incorporated to flexibly update the classifier model, ensuring adaptability across various scenarios. Extensive results demonstrate that the proposed strategy achieves over 81% redundant bandwidth savings while maintaining decision quality and catering to strict latency requirements on computation-constrained devices. © 2024 IEEE.

关键词： Television transmission

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A General Framework for Intelligent IoT Data Acquisition and Sharing in an Untrusted Environment Based on Blockchain

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China communications 2024年第3期21卷 137-148页

作者： Lu Yin Xue Yongtao Li Qingyuan Wu Luocheng Li Taosen Yang Peipei Zhu Hongbo College of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of EducationNanjing 210003China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China Research Institute of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Bell Honors School Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Automation Nanjing University of Posts and TelecommunicationsNanjing 210023China

Traditional Io T systems suffer from high equipment management costs and difficulty in trustworthy data sharing caused by *** provides a feasible research direction to solve these problems. The main challenge at this stage is to integrate the blockchain from the resourceconstrained Io T devices and ensure the data of Io T system is credible. We provide a general framework for intelligent Io T data acquisition and sharing in an untrusted environment based on the blockchain, where gateways become Oracles. A distributed Oracle network based on Byzantine Fault Tolerant algorithm is used to provide trusted data for the blockchain to make intelligent Io T data trustworthy. An aggregation contract is deployed to collect data from various Oracle and share the credible data to all on-chain users. We also propose a gateway data aggregation scheme based on the REST API event publishing/subscribing mechanism which uses SQL to achieve flexible data aggregation. The experimental results show that the proposed scheme can alleviate the problem of limited performance of Io T equipment, make data reliable, and meet the diverse data needs on the chain.

关键词： blockchain data sharing Internet of Things Oracle

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A Review of the Evolutionary Algorithm Based VRP Problem

A Review of the Evolutionary Algorithm Based VRP Problem

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第42届中国控制会议

作者： Lili Pan Bing Hu Zhe Sun Lei Xu Guangfu Gong Xiangpeng Xie Zhixin Sun Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

The problem of vehicle routing planning(VRP) has far-reaching influence, and is widely used in vehicle scheduling,industrial production, transportation, logistics and distribution. The study of VRP and its associated derivations has grown significantly in recent years. So, starting with the fundamental VRP, this paper categorizes the VRP based on its traits and real-world applications. It then in-depth analyses the capacity constrained VRP, time window VRP, batched delivery VRP,dynamic VRP, and stochastic demand VRP, and provides an update on each type of VRP's research. Additionally, a summary of the VRP problem-solving methods is provided. The study of evolutionary algorithms is the main topic of this paper, and the fundamental solution method is provided in accordance with the development of the algorithms.

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Handwritten digit recognition based on ghost imaging with deep learning

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Chinese Physics B 2021年第5期30卷 367-372页

作者： Xing He Sheng-Mei Zhao Le Wang 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 Education) Nanjing 210003China

We present a ghost handwritten digit recognition method for the unknown handwritten digits based on ghost imaging(GI)with deep neural network,where a few detection signals from the bucket detector,generated by the cosine transform speckle,are used as the characteristic information and the input of the designed deep neural network(DNN),and the output of the DNN is the *** results show that the proposed scheme has a higher recognition accuracy(as high as 98%for the simulations,and 91%for the experiments)with a smaller sampling ratio(say 12.76%).With the increase of the sampling ratio,the recognition accuracy is *** with the traditional recognition scheme using the same DNN structure,the proposed scheme has slightly better performance with a lower complexity and non-locality *** proposed scheme provides a promising way for remote sensing.

关键词： ghost imaging handwritten digit recognition ghost handwritten recognition deep learning

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Feature Extraction Model of Smart Fire Fighting Water Cyber Physical System based on LSTM 10

Feature Extraction Model of Smart Fire Fighting Water Cyber ...

引用

10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Zhu, Leiji Liu, Pingping Xiong, Yong Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communication Shanghai200050 China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

In order to realize the condition monitoring and judgment of intelligent fire cyber physical water system, a feature extraction model of intelligent fire cyber physical water system based on LSTM is designed in this paper. In physical space, a real-time pressure information acquisition system is constructed based on intelligent water pressure sensor equipment and the closed-loop control command is completed by new intelligent gateway equipment. In the information space, based on LSTM architecture, a feature extraction and classification judgment model of high-pressure and low-pressure states based on one-dimensional time series pressure information is constructed. The experimental data show that the designed model has an average detection accuracy of 81.5%. The model can provide technical support for the closed-loop control of intelligent fire cyber physical water system. © 2022 IEEE.

关键词： Cyber Physical System

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