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4th IEEE International Conference on Image, Vision and Computing, ICIVC 2019

作者： Zhou, Anqi Chen, Jianxin DIng, Jie Pan, Zhaolai Nanjing University of Posts and Telecommunications Ministry of Education Nanjing Key Lab of Broadband Wireless Communication and Sensor Network Technology 210003 China

ISBN: (纸本)9781728123257

In recent years, pattern recognition has received wide attention, especially face recognition. Research shows that traditional methods have limits in face recognition under unrestricted environment because of illumination, facial expression, pose and so on. Deep learning is chosen to solve these problems. In this paper, we propose a complete method for face recognition under unrestricted environment by deep learning. First, we design a novel two-stage convolutional neural network for face detection and alignment. The first stage of the network aims at searching face windows and their bounding box regression vector. The second stage merges facial candidates which are covered highly. Then, the network finishes the task of face detection and alignment whose outputs are face regions and the position of the five facial landmarks. It achieves great performance on angle of faces in image and obtains accuracy of 96.1% on AFW and 98.9% on FDDB. Then faces are sent to convolutional neural network for transfer learning because of limited training samples. On the testing dataset, the accuracy of face recognition reaches to 95.3%, comparing with 89.1% of the original network. What' more, our method is better than the traditional algorithms and general CNN. © 2019 IEEE.

关键词： Face recognition

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QoE optimization for traffic offloading from LTE to WiFi 8

QoE optimization for traffic offloading from LTE to WiFi

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8th IEEE Global Conference on Consumer Electronics, GCCE 2019

作者： Tian, Feng Yu, Yue Li, Dapeng Cui, Jingwu Dong, Yue Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

ISBN: (纸本)9781728135755

In this paper, a novel QoE (Quality of Experience) optimization mechanism is proposed for the coexistence between LTE and WiFi networks, where traffic offloading is enabled from LTE to WiFi. Firstly, the throughput models of LTE and WiFi are analyzed, respectively. And then the users' satisfaction function is introduced to measure QoE. An optimal problem that maximizing the QoE of LTE network with guaranteeing the QoE of WiFi network, is formulated and solved by transformation and simplification. Simulation results indicate that traffic offloading can greatly improve the QoE of LTE network. © 2019 IEEE.

关键词： Quality of service

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Cloud-Edge Collaboration via Preference-based Reinforcement Learning in Semantic communications 11

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

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11th International Conference on Advanced Cloud and Big Data, CBD 2023

作者： Xu, Yikai Chen, Mingkai Zhang, Zhe Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

ISBN: (纸本)9798350345346

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. © 2023 IEEE.

关键词： Reinforcement learning

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A NEW APPROACH TO DVC COMBINED WITH ROI EXTRACTION AND RESIDUAL VIDEO CODING FOR MULTIMEDIA sensor networkS

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Journal of Electronics(China) 2013年第1期30卷 17-24页

作者： Lin Zhaoxiao Sun Lijuan Xiao Fu Wang Ruchuan College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Jiangsu Province

The Wyner-Ziv distributed video coding scheme is characterized for its intraframe encoder and interframe decoder which can also approach the efficiency of an interframe encoder-decoder system. In Wyner-Ziv residual coding of video, the residual of a frame with respect to a reference frame is Wyner-Ziv encoded, which can reduces the input entropy and leads to a higher coding efficiency than directly encoding the original frame. In this paper, we propose a new approach of residual coding combined with Region Of Interest (ROI) extraction. Experimental results show that, the proposed scheme achieves better rate-distortion performance compared to conventional Wyner-Ziv coding scheme.

关键词： Distributed Video Coding （DVC） Residual video coding Region Of Interest （ROI）

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Cross-modal Semantic communications in 6G

Cross-modal Semantic Communications in 6G

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2023 IEEE/CIC International Conference on communications in China, ICCC 2023

作者： Chen, Mingkai Liu, Minghao Wang, Wenjun Dou, Haie Wang, Lei Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China

ISBN: (纸本)9798350345384

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. © 2023 IEEE.

关键词： Signal processing

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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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Entanglement concentration for W-type entangled coherent states

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Chinese Physics B 2014年第8期23卷 269-273页

作者：盛宇波刘炯赵圣阳王磊周澜 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 and Physics Nanjing University of Posts and Telecommunications

An entangled coherent state （ECS） is one type of entanglement, which is widely discussed in the application of quan- tum information processing （QIP）. In this paper, we propose an entanglement concentration protocol （ECP） to distill the maximally entangled W-type ECS from the partially entangled W-type ECS. In the ECP, we adopt the balanced beam split- ter （BS） to make the parity check measurement. Our ECP is quite different from the conventional ECPs. After performing the ECP, not only can we obtain the maximally entangled ECS with some success probability, but also we can increase the amplitude of the coherent state. Therefore, it is especially useful in long-distance quantum communication, if the photon loss is considered.

关键词： quantum communication and computation entanglement concentration coherent state

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ENERGY-SAVING SCHEDULING FOR LTE MULTICAST SERVICES

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Journal of Electronics(China) 2013年第5期30卷 423-429页

作者： Deng Keke Wang bin Guo Hui Wang Wennai College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommuni-cations Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications

In the Long Term Evolution(LTE)downlink multicast scheduling,Base Station(BS)usually allocates transmit power equally among all Resource Blocks(RBs),it may cause the waste of transmit *** avoid it,this paper put forward a new algorithm for LTE multicast downlink scheduling called the Energy-saving based Inter-group Proportional Fair(EIPF).The basic idea of EIPF is to calculate an appropriate transmitting power for each group according to its data rate respectively,and then follow the inter-group proportional fair principle to allocate RBs among multicast *** results of EIPF simulation show that the proposed algorithm not only can reduce the transmit power of BS effectively but also improve the utilization rate of energy.

关键词： Long Term Evolution(LTE) Downlink scheduling Multicast Energy-saving based Inter-group Proportional Fair(EIPF)

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Complete Bell-state analysis for a single-photon hybrid entangled state

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Chinese Physics B 2013年第3期22卷 179-183页

作者：盛宇波周澜程维文巩龙龑王磊赵生妹 Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications College of Mathematics & Physics Nanjing University of Posts and Telecommunications

We propose a scheme capable of performing complete Bell-state analysis for a single-photon hybrid entangled *** single-photon state is encoded in both polarization and frequency degrees of *** setup of the scheme is composed of polarizing beam splitters,half wave plates,frequency shifters,and independent wavelength division multiplexers,which are feasible using current *** also show that with this setup we can perform complete two-photon Bell-state analysis schemes for polarization degrees of ***,it can also be used to perform the teleportation scheme between different degrees of *** setup may allow extensive applications in current quantum communications.

关键词： quantum communication hybrid entangled state Bell-state analysis

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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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