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

作者： Qian Xu Yunyun Ji Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications NanJing China

Compressed sensing (CS) is an emerging signal acquisition theory that directly collects signals in a compressed form if they are sparse on some certain basis. This paper focuses on the realization of CS on speech signals. Observing that different kind speech frames have different intra-frame correlations, we propose a frame-based adaptive compressed sensing framework for speech signals, which applies adaptive projection matrix. Experimental results show significant improvement of speech reconstruction quality by using such adaptive approach against using traditional non-adaptive projection matrix.

关键词： Speech Correlation Compressed sensing Speech processing Matching pursuit algorithms Sparse matrices sensors

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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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A trustworthy network architecture based on strengthen TNC

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content technology and its Applications 2012年第17期6卷 343-349页

作者： Yin, Ansheng Zhang, Shunyi Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China Institute of Information and Network Technology Nanjing University of Posts and Telecommunication China

As networks have grown in size and complexity, the existing isolated add-on security systems of internet are confronting some serious challenges. This paper outlines the background, concept, evolution and basic properties of the trustworthy network, and projects the future development of the network in terms of its access control, modeling of trust relationship, quantification and decisionmaking. Then put forward a strengthen TNC to fix the deficiencies.

关键词： network architecture

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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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CA_DeepSC: Cross-Modal Alignment for Multi-Modal Semantic communications

CA_DeepSC: Cross-Modal Alignment for Multi-Modal Semantic Co...

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IEEE Conference on Global communications (GLOBECOM)

作者： Wenjun Wang Minghao Liu Mingkai Chen Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

Multi-modal semantic communication has attracted great attention due to its broad application prospects. However, the existing multi-modal semantic communications mostly focus on task-oriented approaches, which ignore the correlation among multi-modal data, leading to a decrease in the robustness. In this paper, we propose a deep learning enabled semantic communication system with cross-modal alignment, called CA_DeepSC, which effectively utilizes the correlation across multi-modal signals to enhance the robustness of transmission. Firstly, we train the semantic encoder at the transmitter to learn the relationship of cross-modal alignment at the semantic level. Meanwhile, the cross-modal alignment allows to modify the errors caused by semantic or physical noise. Secondly, we propose a novel cross-modal amendment scheme that dynamically assigns weights to auxiliary multi-modal semantic information based on their correlation levels, and integrates modal semantic information with auxiliary modal semantic information at the receiver, optimizing the performance on recovery. Finally, experimental results demonstrate that CA_DeepSC effectively reduces semantic distortion caused by semantic and physical noise, thereby improving the quality and robustness in the multi-modal semantic communication.

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Cross-modal Semantic communications in 6G

Cross-modal Semantic Communications in 6G

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IEEE International Conference on communications in China (ICCC)

作者： Mingkai Chen Minghao Liu Wenjun Wang Haie Dou Lei Wang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

In 6G communication, semantic communication is considered one of the most promising directions to fulfill users’ demands for immersive multi-modal experiences, low latency, and high reliability. We proposes a cross-modal semantic communication approach based on deep learning, where both semantic coding and decoding are carefully crafted to provide optimum performance. Firstly, cross-modal semantic fusion is designed to enable end-to-end data transmission, driven by various task requirements of multi-modal business users. In addition, the proposed approach for evaluation on the semantic similarity is highly effective. It consists of a siamese network and a pseudo-siamese network, which can accurately obtain the matching loss between modal contents. Finally, the simulation results show that the proposed cross-modal semantic communication approach outperforms traditional communication systems, especially in low SNR scenarios. The similarity of cross-modal semantic communication improves by more than 53% compared to the traditional approaches, demonstrating its superiority and feasibility. Overall, our solution can meet the increasing demands of modern communication and facilitate seamless and intuitive experiences for users.

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Cloud-Edge Collab.ration via Preference-based Reinforcement Learning in Semantic communications

Cloud-Edge Collaboration via Preference-based Reinforcement ...

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International Conference on Advanced Cloud and Big Data (CBD)

作者： Yikai Xu Mingkai Chen Zhe Zhang Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

With the development of next-generation mobile communication, semantic communication is considered as a novel technology that focuses on conveying the meaning of a message to the intended users. The key of semantic communication is that the receiver and sender should have the similar background knowledge, hence the semantic knowledge base is the corner-stone of semantic communication. However, how to select an appropriate content as the background knowledge from huge amount of knowledge base data is a challenge in realizing a semantic communication system. Caching partial semantic knowledge bases at edge servers in advance is a promising approach to overcome the above issue. In this paper, we propose a novel semantic knowledge base deployment architecture, in which the specific content of the semantic knowledge base cached at the edge server is determined by the user’s personal preferences, fact relevance, and the sender-receiver matching degree. The semantic knowledge base deployment architecture is affected by conditions such as latency and storage capacity of the edge server. Based on preference-based reinforcement learning (PbRL), we propose a policy ranking algorithm to drive the replacement of the categorical cache for semantic knowledge bases to maximize the hit ratio and the sender-receiver matching degree under the constraints of latency and caching capacity. Simulation results show that our algorithm can obtain higher knowledge base hit ratio and matching degree.

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Volunteer Service Time Record System Based on Blockchain technology

Volunteer Service Time Record System Based on Blockchain Tec...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Ning Zhou Menghan Wu Jianxin Zhou Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network School of Information Engineering Wuhan University of Technology

In recent years, volunteer service in China has made an unprecedented development, but the credibility and traceability of volunteer service time management are confronted with serious challenges. Sin

ISBN: (纸本)9781467389808

关键词： Blockchain Volunteer service Data security Data store Traceability system Data Security Volunteers Service time key technology traceability Data Storage computer information security RECORDING SYSTEMS Human Activities

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A Solution of Human-Computer Remote Interaction with Tactile Feedback

A Solution of Human-Computer Remote Interaction with Tactile...

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International wireless communications and Mobile Computing Conference, IWCMC

作者： Shouxiang Ni Jianxin Chen Yanan Chen Mingkai Chen Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

In human-computer interaction, we need to use human's multiple sensory channels and motion channels to improve its naturalness and efficiency. These channels include voice, handwriting, posture, vision, expression, etc. Visual-based human-computer interaction systems are often mentioned in the literature. The system uses a camera to monitor and track the operator's posture, and sets corresponding commands to control the movement of the robot. On top of that, we add tactile feedback to allow the robot to accomplish more tasks. In the vision system, first we obtain color images and depth images through a depth camera. Secondly, we estimate the human posture through OpenPose. Finally, we map the motion of the human arm to the motion of the robotic arm. In the tactile system, first we control the movement of the magic hand through the exoskeleton. Secondly, we obtain the force values of the fingers through the magic hand. Finally, we provide force feedback to each finger through the exoskeleton.

关键词： Human computer interaction Machine vision Exoskeletons Robot vision systems Force Force feedback Tactile sensors

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Dynamical QoS self-configuration approach of cognitive networks based on end-link cooperation policy

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Journal of Computational Information Systems 2012年第11期8卷 4685-4693页

作者： Qi, Jin Zhang, Shunyi Sun, Yanfei Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China Institute of Information and Network Technology Nanjing University of Posts and Telecommunication Nanjing 210003 China

To solve the problem of rapid QoS declining under network situation as well as improve the judging and dynamical adjusting ability that network system towards user QoS, in this paper, we proposed a dynamical self-configuration approach for guaranteeing QoS in cognitive networks (CNs). Through utilizing the active property of CNs while introducing end-link cooperation policy based on decisionmaking, the user priority has been determined and dynamically corrected. The simulation result represents that the proposed approach has better performance than traditional best of effort service, enabling to guarantee the user QoS under congestion status effectively. © 2012 Binary Information Press.

关键词： Quality of service

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