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Graph theory based physical cell identity self-configuration for LTE-A network

The Journal of China Universities of Posts and Telecommunications 2013年第1期20卷 101-107页

作者： WEI Yao WANG Wen-bo PENG Mu-gen MIN Shi-jun Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Wireless Signal Processing and Network Laboratory Beijing University of Posts and Telecommunications

self-configuration of physical cell identity （PCI） is a key feature for the long term evolution advanced （LTE-A） network. The PCI is used to identify the different cells in the system, becoming an essential cell configuration parameter. Considering the uncoordinated deployments of the evolved Node B （eNodeB） and the limited number of PCI, the PCI assignment for cells would be quite complex. This paper presents and puts forward a graph theory based centralized PCI self-configuration scheme （GT-PCIS）. The PCI self-configuration problem is mapped to the well-known minimum spanning tree （MST） problem in order to optimize the PCI reuse distance and decrease the multiplexing interference throughout the entire network. The proposal provides a greedy search to make the locally optimal selection of PCI at each stage, and to achieve a global optimum. To demonstrate the algorithm validity, performances of GT-PCIS and manual configuration are evaluated. Simulation results show that the proposed GT-PCIS outperforms other configuration algorithms even under the condition of severe PCI deficiency.

关键词： LTE-A PCI MST self-configuration

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ABRC:A self-configuration Model for Wireless Sensor Networks

ABRC:A Self-Configuration Model for Wireless Sensor Networks

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第二十七届中国控制会议

作者： Chen Yi 1,Chen Li 1,Xiao Sisong 1,Gao Ge 2 1.Department of Computer science,Central China Normal University,Wuhan 430072,P.R.China 2.National Engineering Research Center of Multimedia Software,Wuhan University,Wuhan 430070,P.R.China

The Network State Beacon（NSB） exchange rate is a critical parameter in monitoring the dynamic state of any self-configuring ad hoc sensor *** determines the time and nature of any proactive reconfiguration activity that is necessary to counteract any degradation in network *** is imperative to adapt this rate to the variation in load profile in order to attempt to keep the network operating optimally and conform to its various Quality-of-Service *** paper proposes an adaptive beacon rate control model（ABRC） .The algorithm of this model can minimize the system error adaptively compared with the HUSEC model or other traditional *** analysis and simulations have been proposed to show that this algorithm is effective to improve the network performance by decreasing the packet losses and increasing the network connectivity.

关键词： Quality of service self-configuration Network state beacon Wireless sensor networks

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Representation of Categorical Specification of self-configurations in Reactive Autonomic Systems Framework

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Journal of Computer and Communications 2018年第12期6卷 34-48页

作者： Ming Zhu Heng Kuang Jing Li College of Computer Science and Technology Shandong University of Technology Zibo China Huawei Canada Markham Canada

Software complexity crisis brings huge obstacle to further progress in IT industry. To alleviate this problem, researchers are asked to build systems which can benefit from automation. With autonomic behavior, the real-time reactive systems can be more self-managed and adaptive to their environment. However, most of current formal approaches fail to specify such kind of system. In this paper, we proposed an approach to formally specify reactive autonomic systems. First, we used category theory to formalize reactive autonomic systems;then we focused on the categorization of self-configurations and work flows of reactive autonomic systems, and finally we used XML to specify the categorical models. In doing so, it can help to build the foundation of reactive autonomic systems with autonomic features and verify emergent behaviors.

关键词： Reactive Autonomic System Category Theory XML self-configuration

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Building　up　Multi－Layered　Perceptrons　as　Classifier　System　for　Decision　Support

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Journal of Systems Engineering and Electronics 1995年第2期6卷 32-39页

作者： Cat Jun, Zhai Fan & Feng Shan (Inst. of Sys. Eng., Huazhong University of Science and Technology, Wuhan 430074, China) Inst. of Sys. Eng. Huazhong University of Science and Technology Wuhan 430074 China

This paper focuses on some application issues in ***-layered perceptrons researches. The following problem areas are discussed: (1) the classification capability of multi-layered perceptrons; (2) theself-configuration algorithm for facilitating the design of the neural nets' structure;and,finally (3) the application of the fast BP algorithm to speed up the learning procedure. Some experimental results with respect to the application of multi-layered perceptrons as classifier systems in the comprehensive evaluation of Chinese large cities are presented.

关键词： Multi-layered perceptron Decision support system Classification ability self-configuration Comprehensive evaluation.

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Subject Oriented Autonomic Cloud Data Center Networks Model

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Journal of Data Analysis and Information Processing 2017年第3期5卷 87-95页

作者： Hang Qin Li Zhu Computer School Yangtze University Jingzhou China Oujiang College Wenzhou University Chashan University Wenzhou China

This paper investigates autonomic cloud data center networks, which is the solution with the increasingly complex computing environment, in terms of the management and cost issues to meet users’ growing demand. The virtualized cloud networking is to provide a plethora of rich online applications, including self-configuration, self-healing, self-optimization and self-protection. In addition, we draw on the intelligent subject and multi-agent system, concerning system model, strategy, autonomic cloud computing, involving independent computing system development and implementation. Then, combining the architecture with the autonomous unit, we propose the MCDN (Model of Autonomic Cloud Data Center Networks). This model can define intelligent state, elaborate the composition structure, and complete life cycle. Finally, our proposed public infrastructure can be provided with the autonomous unit in the supported interaction model.

关键词： Autonomic Cloud Computing Autonomous Unit Data Center self-configuration Service Description

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