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检索条件"机构=Key Lab of Broadband Vireless Communication and Sensor Network Technology"

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Cognitive radio spectrum sharing using improved Quantum Genetic Algorithm

Cognitive radio spectrum sharing using improved Quantum Gene...

引用

2011 International Conference on Wireless communications and Signal Processing, WCSP 2011

作者： Li, Fei Zhu, Dongpo Tian, Feng Li, Haibo Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Department of Applied Physics and Electronics Umeå University Umeå Sweden

ISBN: (纸本)9781457710100

A key challenge in cognitive radios (CR) network is how to adaptively and efficiently allocate transmission powers and spectrum among CR users according to the surrounding environment. In this paper, we propose a novel spectrum sharing based on our improved Quantum Genetic Algorithm (QGA) in a non-cooperative game for CR network. We improved the original QGA by quantum crossover operator, in order to overcome the shortcoming of the original QGA easily falling into a local extremum when used to optimize the continuous functions with many extrema. We used our improved QGA as a competitive strategy and conducted several simulations in two-user system and multi-user system. From simulation results, it is evident that the proposed improved QGA based spectrum sharing scheme has better convergence rate and higher sum capacity than GA based scheme even in multi-user CR system, namely up to 2bit/s/Hz increase in capacity. The simulation results also show that the population size of QGA affect sum capacity of cognitive radio system. The results demonstrated the effectiveness and the applicability of QGA in spectrum sharing in multi-user cognitive radio system. © 2011 IEEE.

关键词： Cognitive radio

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Optimization on Cooperative communications Based on network Coding in Multi-hop Wireless networks 16

Optimization on Cooperative Communications Based on Network ...

引用

16th IEEE International Wireless communications and Mobile Computing Conference, IWCMC 2020

作者： Bu, Xiande Liu, Chuan Yu, Qiang Yin, Lei Tian, Feng State Grid Laboratory of Electric Power Communication Network Global Energy Interconnection Research Institute Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing Universityof Posts and Telecommunications Ministry of Education Nanjing210003 China

ISBN: (纸本)9781728131290

Cooperative communications (CC) based on network coding (NC) can significantly increase the capacity of wireless networks. In this paper, we investigate how to apply NC in multi-hop wireless networks with multiple relay nodes and multiple sessions to achieve more practical and general CC based on NC. Based on NC, we consider to jointly optimize relay node selecting, scheduling and flow routing in CC in a multi-hop wireless network. We not only construct a mathematical model but also formulate a maximum-minimum (Max-Min) optimization problem for it. Then we reformulate and solve it with CPLEX. Through simulation, we validate that the achieved rate gain by NC can be greatly improved than the one by CC. © 2020 IEEE.

关键词： Cooperative communication

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Research on image compression and transmission mechanism for wireless multimedia sensor networks

Research on image compression and transmission mechanism for...

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2nd Annual Conference on Electrical and Control Engineering, ICECE 2011

作者： Xiao, Fu Zhang, Pan Sun, Li-Juan Wang, Jing Wang, Ru-Chuan College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

ISBN: (纸本)9781424481637

A image compression and adaptive smoothing transmission mechanism for wireless multimedia sensor networks. Goal of our work is to minimize image distortion with the multimedia sensor network conditions varying constantly. Method which uses Set Partitioning in Hierarchical Trees (SPIHT) algorithm based on lifting wavelets for real-time images compression is first presented, and then a framework for realtime image delivery self-adapting over a TCP-friendly connection is depicted. In the context of this scheme, an adaptive smoothing algorithm is also developed based on the predicted available bandwidth to stream real-time image over the TCP-friendly rate control (TFRC) Protocol. Through simulation experiments, it has been shown that this adaptive algorithm performs for a wide-range of the bandwidth scenarios, and a smooth TCP-friendly real-time image transfer for wireless multimedia sensor networks can be accomplished by this proposed scheme. © 2011 IEEE.

关键词： Image compression

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An energy-efficient Distributed Compressed Sensing architecture for Wireless sensor networks based on a distributed wavelet compression algorithm

An energy-efficient Distributed Compressed Sensing architect...

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2011 International Conference on Wireless communications and Signal Processing, WCSP 2011

作者： Hu, Hai-Feng Yang, Zhen Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China National Mobile Communications Research Laboratory Southeast University China

ISBN: (纸本)9781457710100

Wireless sensor networks (WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the sink. In this paper, we present a centralized generating algorithm running at the sink to obtain the distributed wavelet basis in WSN. And on this basis, Wavelet Transform-based Distributed Compressed Sensing (WTDCS) algorithm is proposed to compress and reconstruct sensor observations with spatial correlations. Finally, the analysis of relationship between reconstruction error and energy consumption in WTDCS is carried out by simulation. The results show that WTDCS can achieve high performance in terms of energy and reconstruction accuracy, as compared to conventional distributed wavelet transform algorithm. © 2011 IEEE.

关键词： Wavelet transforms

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A Survey of Trusted network Trust Evaluation Methods 2nd

A Survey of Trusted Network Trust Evaluation Methods

引用

2nd EAI International Conference on Security and Privacy in New Computing Environments, SPNCE 2019

作者： Yin, An-Sheng Zhang, Shun-Yi Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210023 China Department of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210023 China

ISBN: (纸本)9783030213725

The proposed trusted network is respond to the increasingly prominent internal network security threats. At present, research on trusted networks focuses on two aspects: pre-network access check and dynamic evaluation after access. The pre-access check considers the integrity of the terminal and uses encryption and authentication methods to achieve it. The dynamic evaluation uses the static and dynamic attributes of the trust to implement trust evaluation. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： network security

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Mean Shift Object Tracking with Modified LTP

Mean Shift Object Tracking with Modified LTP

引用

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

作者： ZHANG Shaona HU Dong HU Yanting Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications The key lab of image processing and transmission of Jiangsu province Nanjing University of Posts and Telecommunications School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

A new scheme of object tracking with mean shift is put forward in this paper. At first, texture feature is fused in the processing by Local Ternary Pattern (LTP). Since LTP is sensitive to local noise, least median of squares (LMedS) algorithm is used to adaptively calculate the noise threshold for accurate estimation of the LTP texture information. Furthermore, target scale and orientation is estimated in case of partial occlusion or rotation, so as to realize robust object tracking. Experimental results show that the proposed algorithm can acquire robust tracking performance under complex background .

关键词： Object tracking, Mean Shift, LTP, LMedS

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Dynamic priority algorithm for modern tram based on MADM 2

Dynamic priority algorithm for modern tram based on MADM

引用

2nd IEEE International Conference on Intelligent Transportation Engineering, ICITE 2017

作者： Wu, Jiaqi Yu, Yang Lin, Xiaoyong College of Transportation Science and Technology Nanjing Tech University Nanjing210009 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing210003 China

ISBN: (纸本)9781509062720

Analyzing the influence on traffic flow at intersection according to the driving characteristics of modern tram with different lane layout types. Proposing a method of dynamic priority algorithm (DPA) based on the idea of multiple attribute decision making (MADM) to analyze intersection delay. The VAP module based on MATlab in Vissim is used to simulate the induction control of the modern tram through the concrete intersection, mainly analyzing delay of the intersection with different lane layout types of modern trams. Taking the intersection of Middle Jiangdong Road and Hexi Avenue in Nanjing as an example, the traffic delay caused by different lane layout of modern tram is analyzed by using absolute priority and dynamic priority algorithm (DPA) respectively. © 2017 IEEE.

关键词： MATlab

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A Toeplitz Covariance Matrix Reconstruction Approach for Direction-of-Arrival Estimation

A Toeplitz Covariance Matrix Reconstruction Approach for Dir...

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作者： Wu, Xiaohuan Zhu, Wei-Ping Yan, Jun Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China Department of Electrical and Computer Engineering Concordia University Montreal QC210003 Canada

It is known that there exist two kinds of methods for direction-of-arrival (DOA) estimation in the literature: the subspace-based method and the sparsity-based method. However, pervious works reveal that the former method cannot address the case in which the number of signals is larger than that of sensors, whereas the latter one always suffers from the influence of basis mismatch. In this paper, to overcome these two shortcomings, we propose a new method called covariance matrix reconstruction approach (CMRA) for both uniform linear array and sparse linear array. In particular, by exploiting the Toeplitz structure of the covariance matrix of the array output, we formulate a low-rank matrix reconstruction (LRMR) problem for covariance matrix recovery. The nonconvex LRMR problem is then relaxed by replacing the rank norm with the nuclear norm and solved using the optimization toolbox. Next, we retrieve the DOAs from the recovered covariance matrix by using the subspace-based methods and obtain an estimated number of signals as a byproduct. We also provide two algorithm implementations for the LRMR problem based on duality and alternating direction method of multipliers, respectively. It is shown that CMRA can be regarded as an atomic norm minimization model or a gridless version of the sparsity-based methods and can recover more signals than sensors with a well-designed array. Numerical experiments are provided to validate the effectiveness of the proposed method, in comparison with some of the existing methods. © 1967-2012 IEEE.

关键词： Covariance matrix

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Research on moving object detection based on the Bayesian theory

Research on moving object detection based on the Bayesian th...

引用

作者： Hu, D. Liu, X. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781845648282

For effective and efficient detection of moving objects from complex surveillance scenarios, a novel integrated object detection scheme based on clustering and Bayesian theory is proposed in this paper. The algorithm conducts clustering analysis in the time domain as the pre-segmentation step for later Bayesian judgment processing. Furthermore, temporal differential image was used to classify dynamical and static pixels, which were then used to direct the Bayesian judgment with proper models. The clustering processing reduced the number of the mixture models, which in turn, reduced the computational complexity while ensuring accurate moving object detection. Simulation results show that the proposed scheme well exploited the temporal correlation of the video sequences and the accuracy of the detected objects can be improved by nearly 20% compared to the typical Gaussian mixture modeling algorithm. © 2014 WIT Press.

关键词： Object detection

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CVCA: A Complex-Valued Classifiable Autoencoder for MmWave Massive MIMO Physical Layer Authentication

CVCA: A Complex-Valued Classifiable Autoencoder for MmWave M...

引用

2023 IEEE INFOCOM Conference on Computer communications Workshops, INFOCOM WKSHPS 2023

作者： Zeng, Xinyuan Wang, Chao Wang, Cheng-Cai Li, Zan Xidian University State Key Laboratory of Integrated Service Network Xi'an710071 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing210003 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781665494274

For protecting millimeter wave (mmWave) communications from clone attacks, this paper employs the deep learning to propose a physical layer authentication (PLA) approach for detecting attackers and classifying multiple legitimate nodes simultaneously. Different from conventional upper-layer authentication mechanisms, the proposed PLA approach exploits the spatial and temporal characteristics of mmWave channels to extract the unique fingerprints for building a lightweight channel-based authentication method. However, the existing threshold-based PLA methods could not discriminate multiple nodes, and supervised learning based approaches have limited application due to the unavailability of attackers' channel state information (CSI) in practice. Besides, traditional real-valued deep neural networks cannot exploit the phase information of complex channels efficiently, which is unsuitable for designing the PLA scheme. Considering these, we propose a complex-valued classifiable autoencoder induced PLA scheme that includes a novel complex-valued long short-term memory (LSTM) module. Simulation results validate the superiority of our proposed PLA approach by comparing it with existing approaches and demonstrate that the detection probability of clone attacks positively correlates with antenna number. The classification performance is satisfactory even under the challenging experimental condition. © 2023 IEEE.

关键词： Authentication

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