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PERFORMANCE ANALYSIS OF USER FAIR-BASED RELAY ADAPTIVE POWER ALLOCATION IN PHYSICAL-LAYER network CODING COOPERATION

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Journal of Electronics(China) 2012年第5期29卷 383-391页

作者： Cheng Yulun Yang Longxiang Wireless Communications Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

network Coding (NC) is an effective technology to enhance the cooperative system spectral efficiency. However, since it is network-oriented, the existing performance metric of single-user outage can not comprehensively evaluate its gain and the impact to the entire network, which affect the user fairness. This paper proposes two novel user fair-based adaptive relay power allocation algorithms in single-relay NC cooperative multiple access channels. Firstly, common outage probability is employed as the performance metric, and to minimize it, a specific condition is deduced. On this basis, the instantaneous channel information-based adaptive relay power allocation scheme and the channel statistic information-based one with lower complexity are designed respectively, which make users' signals superimposed at accurately calculated proportion to maintain fairness. Simulation results show that compared with other existing schemes, the proposed schemes can best maintain user fairness, and effectively improve the common outage performance of the whole system, at the expense of small spectral efficiency.

关键词： Power allocation Cooperation network Coding (NC) Common outage probability User fairness

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LLR-AWARE SMART LINK-ADAPTIVE STRATEGY FOR DECODE-AND-FORWARD COOPERATIVE COMMUNICATION

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Journal of Electronics(China) 2013年第2期30卷 175-182页

Error propagation seriously degenerate the diversity order of Decode-and-Forward (DF) cooperative communication. To address this problem, a novel Log Likelihood Ratio (LLR)-based Link Adaptive Relaying (LAR) is proposed to promote adaption accuracy at relay. The instantaneous Bit Error Probability (BEP) is calculated according to the LLR of the received signals firstly, then based on it, the equivalent Signal-to-Noise Ratio (SNR) is employed to operate dynamic power scaling by relay. It is theoretically proved that the full diversity order can be attained by the scheme. Besides, the power sensitivity is also analyzed. Simulation results show that the proposed scheme outperform the conventional LAR and can achieve full diversity order. Moreover, its strong adaptation to SNR fluctuation is validated.

关键词： Cooperative communication Adaptive transmission Log Likelihood Ratio (LLR) Diversity order Power efficiency

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Interactive Evolutionary Multi-Objective Optimization Algorithm Using Cone Dominance

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Journal of Harbin Institute of technology(New Series) 2015年第6期22卷 76-84页

作者： Dalaijargal Purevsuren Saif ur Rehman Gang Cui Jianmin Bao Nwe Nwe Htay Win School of Computer Science and Technology Harbin Institute of Technology Key Lab of Broadband Wireless Communication and Sensor Network Technology (Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology) Ministry of Education

As the number of objectives increases,the performance of the Pareto dominance-based Evolutionary Multi-objective Optimization( EMO) algorithms such as NSGA-II,SPEA2 severely deteriorates due to the drastic increase in the Pareto-incomparable solutions. We propose a sorting method which classifies these incomparable solutions into several ordered classes by using the decision maker's( DM) preference *** is accomplished by designing an interactive evolutionary algorithm and constructing convex cones. This method allows the DMs to drive the search process toward a preferred region of the Pareto optimal front. The performance of the proposed algorithm is assessed for two,three,and four-objective knapsack problems. The results demonstrate the algorithm ' s ability to converge to the most preferred point. The evaluation and comparison of the results indicate that the proposed approach gives better solutions than that of NSGA-II. In addition,the approach is more efficient compared to NSGA-II in terms of the number of generations required to reach the preferred point.

关键词： multi-objective optimization evolutionary optimization preference information pareto dominance cone dominance

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Spectrum allocation based on Q-learning algorithm in femtocell networks

Spectrum allocation based on Q-learning algorithm in femtoce...

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2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012

作者： Ji, Xiangfen Qi, Zhu Su, Zhao Jiangsu Key Lab. of Wireless Communications Key Lab. on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781467300865

Interference is the main problem in femtocell networks. In this paper, a new dynamic spectrum allocation scheme for femtocell networks in OFDM scenario based on reinforcement learning is presented. The proposed algorithm allocates spectrum through Q-Learning to dynamically adjust the number of subchannels by different frequency reuse factors. The greater the reuse factor is, the fewer the shared subchannels in adjacent femtocells are. The reward function of Q-Learning considers spectral efficiency of all femtocells to ensure the minimum spectral efficiency of each cell as much as possible. Simulation results show that the proposed algorithm has a better system spectral efficiency with edge spectral efficiency guaranteed in comparison with other algorithms. © 2012 IEEE.

关键词： Spectrum efficiency

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A QoS-aware routing algorithm based on ant-cluster in wireless multimedia sensor networks

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Science China(Information Sciences) 2014年第10期57卷 77-92页

作者： HUANG HaiPing CAO Xiao WANG RuChuan WEN YongGang 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 of Ministry of Education Nanjing University of Posts and Telecommunications School of Computer Engineering Nanyang Technological University

QoS-aware routing algorithm is important in wireless multimedia sensor networks. This paper formulates a generalized QoS-aware routing model on the basis of multiple routing metrics and priorities of packets. We first introduce a 2D plain-based routing algorithm IPACR which improves the standard ant colony algorithm by optimizing the initial distribution of artificial pheromone in order to accelerate the algorithm convergence rate. Then a clustering-based routing algorithm ICACR is presented which can be well applied in a large scale network. ICACR is a variation of IPACR because it can be suitable for clustering cases to satisfy the larger scale situations. Both the numerical algorithm performance analysis and simulation of IPACR and ICACR are given. The results show that ICACR outperforms IPACR in terms of both network lifetime and QoS-aware routing metrics in large scale wireless multimedia sensor networks. Moreover, the simulation based on the real video traces shows that by extending the multi-path to ICACR for different priorities of video frames better performance can be achieved.

关键词： ant colony clustering-based multi-path QoS-aware routing algorithm wireless multimedia sensor networks

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Adaptive Video Back Projection Super-resolution Method Using Non-local Prior

Adaptive Video Back Projection Super-resolution Method Using...

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

作者： Yilun Zhang Zongliang Gan Xiuchang Zhu Mingming Cao Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matching to search for the pixels with similar structural content from video sequences. In this process, an adaptive technique is introduced to avoid redundant search. Second, we do initial interpolation to the input video sequences and a bilateral filtering is applied to the interpolation frames to achieve edge-preserving image smoothing. Third, a video non-local means filter is applied to modify the error image in iteration step of the iterative back projection. The experimental result shows that the proposed method can increase image details, moreover, the chessboard effect and ringing effect along image edges can be removed and sharp and clear edges in visual perception will be obtained.

关键词： non-lcoal back projection video motion estimation super-resolution

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RESEARCH ON ADAPTIVE COMPRESSION CODING FOR network CODING IN wireless sensor network

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Journal of Electronics(China) 2012年第5期29卷 415-421页

作者： Liu Ying Yang Zhen Mei Zhonghui Kong Yuanyuan Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts & Telecommunications

Based on the sequence entropy of Shannon information theory, we work on the network coding technology in wireless sensor network (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle.

关键词： network coding wireless sensor network (WSN) Sequence similarity Sequence entropy

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Novel Back-projection Framework for Single Image Super-Resolution

Novel Back-projection Framework for Single Image Super-Resol...

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

作者： Bin Zhao Zongliang Gan Yanbin Zhang Feng Liu Huanjuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the bilateral filtering algorithm, and the high-resolution image is divided into edge area and flat area. Then the edge area of the high resolution image is filtered by the adaptive kernel regression denoising algorithm in the iterative back-projection process. And the flat area of the high resolution image is reconstructed by the iterative back- projection method. Experimental results demonstrate that the proposed method can reconstruct high quality images in both the measure of objective quality and the subjective perception.

关键词： super-resolution iterative back-projection adaptive kernel regression denoising algorithm

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Dynamic embedding and scheduling of virtual network service for future networks

Dynamic embedding and scheduling of virtual network service ...

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2019 IEEE International Conference on communications Workshops, ICC Workshops 2019

作者： Cao, Haotong Zhang, Yao Yang, Longxiang Key Lab of Broadband Wireless Communications and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781728123738

Software defined networking (SDN) and network function virtualization (NFV) are two most promising approaches for implementing the network virtualization. Traditional Internet will be transformed into SDN/NFV-enabled networks in the future. Through virtualization, the heterogeneous underlying resources enable to provide agile and customized virtual network (VN) services to end users. However, virtual network function (VNF) embedding and scheduling are crucial to the VN service deployment in the SDN/NFV-enabled networks. In this paper, dynamic VNF embedding and scheduling are jointly investigated for enhancing the VN service provisioning. At first, the VNF embedding and scheduling problem is formulated, using mixed integer linear programming (MILP) approach. Then, a dynamic VNF embedding and scheduling algorithm is proposed. For instance, when a new VN service is requested, the VNFs, constituting the service function chain (SFC) of the VN service, will be embedded and scheduled by the proposed algorithm. If the resource and QoS requirements of the VNFs are not satisfied, a re-embedding and re-scheduling scheme will be triggered. Certain VNFs will be re-embedded and re-scheduled. The dynamic embedding and scheduling have flexible network function placement and improves the underlying resource utilization. Finally, simulation results are illustrated. © 2019 IEEE.

关键词： network function virtualization

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Micronucleus Image Recognition Based on Feature-map Spatial Transformation 11

Micronucleus Image Recognition Based on Feature-map Spatial ...

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2019第十一届数字图像处理国际会议

作者： Yujie Xu Jiwei Hu Quan Liu Jiamei Deng School of Information Engineering Wuhan University of Technology & Key Lab.of Broadband Wireless Communication and Sensor Network

ISBN: (数字)9781510630765

ISBN: (纸本)9781510630758

Convolutional neural networks in deep learning models have dominated the recent image recognition *** the lack of capacity to maintain spatial invariance makes identification of micronucleus cells as a classic task in digital pathology still a challenge *** this paper,a novel convolutional neural network for feature maps spatial transformation(FSTCNN) is proposed,which incorporates a Spatial Transformer *** model allows the spatial manipulation of data within the network,provides the ability of active spatial transformation for neural network without any extra *** compared the results of inserting STN into different convolutional layers and found that such a network can transform the input image more steadily,correct the image to one certain position,make it fill the whole screen to create a better environment for image *** results show a distinct advantage over other convolutional neural networks for medical image recognition.

关键词： Spatial transformer micronucleus cells feature extraction image recognition

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