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7th International Conference on Computer and communications, ICCC 2021

作者： Chen, Rongheng Wang, Hong Song, Rongfang Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China

ISBN: (纸本)9781665409506

To mitigate the severe effect of pilot contamination, a novel graph coloring (NGC) based algorithm is applied to pilot assignment in cell-free massive multiple-input multiple-output (MIMO) systems. Specifically, firstly, the potential pilot contamination intensity among users is calculated by utilizing the large-scale fading between users and access points (APs). Then, the contamination threshold is set to perform the sparsification and an interference graph describing the user interference relationship is constructed. Finally, the proposed algorithm is used to implement pilot assignment in the interference graph. In addition, an iterative grid search (IGS) approach is adopted to update the threshold to ensure that the system downlink sum-rate is maximized. The numerical results reveal that the proposed NGC pilot assignment algorithm with optimized thresholds can remarkably improve the system performance compared with previous pilot assignment schemes. © 2021 IEEE.

关键词： Graph theory

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Improved medical image registration based on mutual information and gradient information

Improved medical image registration based on mutual informat...

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2013 International Conference on Human Health and Medical Engineering, HHME 2013

作者： Zhang, Dengyin Tan, Liping Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781845648923

Image registration based on mutual information is widely employed in medical image processing. But this method may lead to the wrong result of registration due to the excessive local maximum points and low accuracy. As the imaging parameters of the same organs are changeless, the gray values from different images are related. Thus this paper constructed the weighted factors for the different gray pairs that represent the different registration accurate levels to improve the registration accuracy and robustness. Meanwhile, this paper introduced the difference between gradient modules which can reflect intensity of gray change on the basis of traditional gradient similarity metric function to improve accuracy. Tests prove that this new method has an improved attribute in aspects of the more obvious climaxes of parameters' curves, the finding of the extreme point, higher accuracy, and stronger robustness. © 2014 WIT Press.

关键词： Image registration

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AN IMPROVED HYBRID SEMANTIC MATCHING ALGORITHM WITH LEXICAL SIMILARITY

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Journal of Electronics(China) 2010年第6期27卷 838-847页

作者： Peng Rongqun Mi Zhengkun Wang Lingjiao Broadband Wireless Communication and Sensor Network Technology Key Lab of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

In this paper, we proposed an improved hybrid semantic matching algorithm combining Input/Output (I/O) semantic matching with text lexical similarity to overcome the disadvantage that the existing semantic matching algorithms were unable to distinguish those services with the same I/O by only performing I/O based service signature matching in semantic web service discovery techniques. The improved algorithm consists of two steps, the first is logic based I/O concept ontology matching, through which the candidate service set is obtained and the second is the service name matching with lexical similarity against the candidate service set, through which the final precise matching result is concluded. Using Ontology Web Language for Services (OWL-S) test collection, we tested our hybrid algorithm and compared it with OWL-S Matchmaker-X (OWLS-MX), the experimental results have shown that the proposed algorithm could pick out the most suitable advertised service corresponding to user's request from very similar ones and provide better matching precision and efficiency than OWLS-MX.

关键词： Hybrid matching algorithm Semantic matching Lexical similarity WordNet Ontology Web Language for Services (OWL-S)

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Multidimensional Speaker Information Recognition based on Proposed Baseline System 2

Multidimensional Speaker Information Recognition based on Pr...

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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： Shan Li Longting Xu Zhen Yang Broadband Wireless Communication and Sensor Network Technology Key Lab.Nanjing University of Posts and Telecommunications Institute for Infocomm Research ASTAR

Traditional speech-related identity recognition commonly pays attention to individual aspect of speech signals but in reality, the speech signals are made up of semantics, speaker dependent features,

ISBN: (纸本)9781467389808

Traditional speech-related identity recognition commonly pays attention to individual aspect of speech signals but in reality, the speech signals are made up of semantics, speaker dependent features,

关键词： Speech recognition Speech Feature extraction Support vector machines Emotion recognition Training Mel frequency cepstral coefficient

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QoE-driven distributed media services in D2D communications underlaying cellular networks

QoE-driven distributed media services in D2D communications ...

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2017 IEEE International Conference on communications Workshops, ICC Workshops 2017

作者： Chen, Mingkai Lei, Wang Chen, Jianxin Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education China

ISBN: (纸本)9781509015252

Device-to-device (D2D) communication has been widely studied to improve network performance and been considered as a potential technological component for the next generation communication. As Quality of Experience (QoE) is the major determining factor for the media service, we aim at promoting user's QoE Mean of Score (MOS) value for dynamic cellular networks. In this paper, we focus on the problem of heterogeneous media service distribution in D2D communications underlaying cellular networks. Firstly, we propose an innovative distributed media service scheme based on QoE models that jointly solve the massive media content dissemination issue for cellular networks. Moreover, our work maximizes users' QoE satisfaction by jointly considering media-aware, popularity function and priority function. Then, we propose a novel resource allocation algorithm based on the popularity function to optimize the total users' QoE satisfaction and avoid the influence of D2D interference. Numerical simulation results demonstrate the effectiveness of our proposed schemes. © 2017 IEEE.

关键词： Quality of service

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Optimal power allocation and relay selection for cognitive two-way af relaying network

Optimal power allocation and relay selection for cognitive t...

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IET International Conference on Information Science and Control Engineering 2012, ICISCE 2012

作者： Luo, Ronghua Yang, Zhen Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781849196413

In an underlay cognitive two-way Amplify-and-Forward (AF) relaying network, secondary users (SUS) and primary user (PU) can share the licensed spectrum simultaneously under the interference threshold constraint. In this paper, the joint power allocation and optimal relay selection scheme is proposed for allocating radio resource on cognitive nodes effectively. For power allocation problem, the objective function is to maximize the achieved minimum Signal to Interference plus Noise Ratio (SINR) at SUS, and the constraints include the total transmit power of cognitive nodes and PU interference threshold, the optimal power allocation algorithm and a simple distributed power allocation algorithm are proposed. Furthermore, based on these results, an optimal two-way relay selection scheme is proposed. Simulation results show that the proposed joint power allocation algorithms and relay selection scheme can achieve excellent system performance.

关键词： Signal to noise ratio

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Optimal Power Allocation with Limited Feedback of Channel State Information in Multi-User MIMO Systems

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China communications 2020年第2期17卷 163-175页

作者： Kusi Ankrah Bonsu Weiwei Zhou Su Pan Yan Yan Key Lab Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications Nanjing 210003China Global Big Data Technologies Centre(GBDTC) University of Technology SydneySydney 2007Australia

In this paper,an expression for the user’s achievable data rate in the multi-user multiple-input multiple-output(MU-MIMO)system with limited feedback(LF)of channel state information(CSI)is *** energy efficiency(EE)is optimized through power allocation under quality of service(QoS)*** on mathematical equivalence and Lagrange multiplier approach,an energy-efficient unequal power allocation(EEUPA)with LF of CSI scheme is *** simulation results show that as the number of transmitting antennas increases,the EE also increases which is promising for the next generation wireless communication ***,it can be seen that the QoS requirement has an effect on the EE of the ***,the proposed EEUPA with LF of CSI algorithm performs better than the existing energy-efficient equal power allocation(EEEPA)with LF of CSI schemes.

关键词： energy efficiency unequal power allocation limited feedback MU-MIMO QoSguarantee and precoding

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Super-resolution algorithm through Neighbor embedding with new feature selection and example training

Super-resolution algorithm through Neighbor embedding with n...

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

作者： Mingming Cao Zongliang Gan Xiuchang Zhu Key Lab of "Broadband Wireless Communication and Sensor Network Technology" Ministry of Education College of telecommunication and information engineering Nanjing University of posts and telecommunications

ISBN: (纸本)9781467321969

An improved super-resolution algorithm through neighbor embedding with new feature selection and example training is proposed for single image super resolution reconstruction. Firstly, we take the DCT coefficients as the feature vectors, and then adaptively choose neighbors by k-means clustering algorithm. Finally, we learn the neighborhood relationship between interpolated image from low resolution image and its corresponding high resolution image. The experimental results show that the improved algorithm can not only achieve a better recovery of a single low resolution image comparing with the original neighbor embedding algorithm, but also reduce the computational complexity.

关键词： super-resolution neighbor embedding DCT coefficients K-means clustering

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Efficient electronic entanglement concentration assisted by single mobile electrons

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Chinese Physics B 2013年第11期22卷 178-182页

作者：盛宇波周澜 Institute of Signal Processing Transmission Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education College of Mathematics & Physics Nanjing University of Posts and Telecommunications

We present an efficient entanglement concentration protocol （ECP） for mobile electrons with charge detection. This protocol is quite different from other ECPs for one can obtain a maximally entangled pair from a pair of less-entangled state and a single mobile electron with a certain probability. With the help of charge detection, it can be repeated to reach a higher success probability. It also does not need to know the coefficient of the original less-entangled states. All these advantages may make this protocol useful in current distributed quantum information processing.

关键词： quantum communication entanglement entanglement concentration

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Hybrid Indoor Localization Method Based on Signal Subspace Fingerprint Database 17

Hybrid Indoor Localization Method Based on Signal Subspace F...

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2017 17th IEEE International Conference on communication technology (ICCT 2017)

作者： Weigang Wang Wenrui Wang Kexue Sun School of Electronic Science and Engineering Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and sensor network technology ministry of education

ISBN: (纸本)9781509039456;9781509039449

To solve the localization problem of multipath propagation in complex indoor circumstance, a localization method of signal subspace matching based on fingerprint database is proposed by using small antenna array in the indoor environment. Compared to the RSSI, the signal subspace fingerprint can obtain better effect by utilizing more space information. The received signal from each array is firstly processed with self-correlation and it's eigenvalue decomposed to create the signal subspace fingerprint. Location is then determined by the smallest angle between the received signal subspace and the fingerprint database. Simulation results show that the proposed algorithm has made a great improvement in localization accuracy.

关键词： indoor localization fingerprint database subspace matching hybrid localization

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