毫微微蜂窝基站的自配置功率机制

为了解决分层网络中由于添加飞小区引起的一系列干扰问题,提出了一种飞小区基站的自配置功率机制。该机制首先分析了飞基站可能受到各种其他基站的干扰和引起对已有用户的干扰类型,然后设计了一个功率最优化问题,即在保证已有用户正常通信前提下最大化飞小区的系统容量,最后通过拉格朗日乘数法得到了功率自配置的最优解。仿真结果表明该机制对比于基于接收信号强度设置功率机制,有效降低了飞基站发射功率,提高了已有用户的吞吐量,减少了对已有用户的干扰。     

面向认知网络的用户QoS动态自配置方法

为解决网络阻塞状态下用户QoS迅速降低的问题,提高网络系统对用户QoS的准确判定能力和动态调整能力,提出了一种保障用户QoS水平的动态自配置方法;采用效用函数对用户QoS优先级初始化表示,利用认知网络的主动特性和中断管理机制,通过认知节点对用户QoS优先级进行判定和动态修正.仿真实验和分析表明了所提出的方法优于传统的DiffServ,能够有效保障网络阻塞状态下用户的QoS水平.     

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

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.     

A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System

The layout of fixed-position assembly islands (FPAI) is widely used for producing fragile or bulky products. With the increasing customised demand and unique operation patterns, manufacturing practitioners are facing challenges on flexible and efficient production arrangement to meet customer demand, which lead to inappropriate assembly islands configuration, frequent setups and long waiting times in FPAI. Industry 4.0 comes with the promise of improved flexibility and efficiency in manufacturing. In the context of Industry 4.0, this paper proposes a 5-layer APICS (assembly layer, perception layer, interaction layer, cognition layer, and service layer) roadmap for transformation and implementation of Assembly 4.0. Following the 5-layer APICS roadmap, a Graduation Intelligent Manufacturing System (GiMS) is presented as the pioneering implementation in FPAI. A graduation-inspired assembly system is designed for FPAI at assembly layer. Internet of Things (IoT) and industrial wearable technologies are deployed for perception, connection, and collaboration among various manufacturing resources at perception and interaction layer. A self-configuration model is proposed at cognition layer for autonomously configuring optimal assembly islands and corresponding production activities to meet customer demand. Cloud-based services are developed for managers and onsite operators to facilitate their decision-making and daily operations at service layer. Finally, a demonstrative case is conducted to verify the feasibility of the proposed methods.     

IMT-Advanced系统的网络自组织协议流程和技术性能

本文介绍了面向IMT-Advanced系统的网络自组织(SON)的基本参数、物理小区和邻区关系自配置等技术的运行流程,对移动健壮性、容量覆盖、负载均衡等SON的关键技术进行了研究,给出了相应的算法以及性能仿真结果,还就SON的支撑技术最小化路测策略进行了研究,给出了改进的方案。同时介绍了家庭基站SON的特征,研究了相应的SON解决方案和算法。     

LTE自组织网络技术及其应用

异构网(Het Net)的引入及多制式网络的共存,使4G LTE网络运维复杂程度大为增加。2007年3GPP在进行LTE标准制订时,引入了LTE自组织网络(SON)机制,旨在移动网络建设和优化时能自动完成网络设备的参数配置,提升网络建设与维护效率,降低网络运营成本。经过多年的演进发展,SON功能已日渐丰富和完善。介绍了SON技术及其体系架构,举例说明了SON技术在我国的应用情况及效果,提出了SON技术发展面临的挑战。     

IMT—Advanced系统中的自组织网络技术

自组织网络（SON）技术旨在实现网络的自配置、自优化和自治愈，从而帮助运营商降低建设和运营维护成本（OPEX）。文章基于IMT—Advanced系统中自组织网络技术的架构和主要功能，阐述参数自配置、自动邻区关联、容量和覆盖最优化以及移动健壮性优化等自组织网络关键技术的特征和研究方向。     

基于政策的自配置系统的形式建模与分析

计算机系统的复杂性不仅使其分析与开发困难,而且同样使其安装配置面临挑战。为解决复杂系统配置面临的问题,具有一定程度智能性的自配置系统正成为研究热点。本文针对基于政策的自配置系统框架,提出该类系统的形式化描述模型,在该系统模型的基础上可将系统的自配置行为描述为系统内部的状态转移过程,从而能对自配置系统的性质进行分析与验证。最后通过配置实例对提出的自配置系统进行分析,验证系统具备的性质。     

基于内容的发布/订阅拓扑模型设计和自配置协议研究

拓扑结构和自配置特性是实现大规模基于内容的发布/订阅系统的关键问题之一,决定了系统的可扩展性。为了提高发布/订阅系统性能,引入了空间划分的概念,设计了一个具有空间划分的层次拓扑模型。针对节点或者链路失效所带来的网络分割问题,本文在静态拓扑模型的基础上提出了一个自配置协议,提高了系统的可靠性和扩展性。     

自组分层式多机器人体系结构

本文旨在从宏观上建立一个通用、开放、适应于非结构及不确定环境下面向复杂任务的多机器人体系结构:自组分层式结构(SCLA).系统由上而下分成三层:指挥层、协调层和执行层.指挥层负责系统的全局规划和任务分配,对协调层直接管理.协调层负责带领所"管辖"的执行层成员完成指挥层分配的任务.执行层利用环境感知模块和运动控制模块顺序完成具体动作序列.系统采用"指令"通信模式和结构重组的策略来实施不确定环境下的协作任务.仿真实验表明自组分层式多机器人体系结构具有较高的鲁棒性和容错性,对任务和环境具有较好自适应性.