舰载C3I系统通信网络可靠性效能分析

C^3I系统通信网络效能评估的影响因素复杂多变,一直是个棘手的问题．C^3I系统通信网络可靠性评估是C^3I系统效能评估的一个重要方面,从C^3I系统通信网络的最小连通子网一网络生成树入手,依据图论的方法,进行网络生成树数目的计算,并建立了C^3I系统通信网络的可靠度的数学模型。     

Modeling of customer retrial phenomenon in cellular mobile networks

In the planning of modern cellular mobile communication systems, the impact of customer behavior has to be carefully taken into account. Two models dealing with the call retrial phenomenon are presented. The first model considers a base station with a finite customer population and repeated attempts. A Markov chain modeling is proposed, and an efficient recursive solution of the state probabilities is presented. The second model focuses on the use of the guard channel concept to prioritize the handover traffic. Again, the retrial phenomenon plays an important role. The influence of the repeated attempt effect on the quality of service experienced by the mobile customers is discussed by means of numerical results     

An average error probability evaluation in a fading environment using finite state Markov channel for LEO satellite communication system

Recent research shows that fading channels have a much larger capacity than anticipated with traditional approaches. This modern view on fading channels encouraged us to characterize these channels more precisely for better identification and use of wireless channel capacity.Since the Markov model is a natural way to approximate a channel with memory, many people have considered finite state first-order Markov modeling for describing a wireless communication channel.In this paper, we first introduce the relationship between a physical fading channel and the corresponding finite state Markov Model (FSMC) in case of low earth orbit (LEO) satellite communication system, which can be used for performance evaluation in an M-order quadrature amplitude-modulation (MQAM) transmission scheme by deriving an analytical expression of average bit error rate in Rayleigh fading channel. By establishing the FSMC, we show that the FSMC is accurate enough to evaluate the performance of MQAM modulation scheme to be implemented on board a LEO satellite communication system.     

From Boolean to probabilistic Boolean networks as models of genetic regulatory networks

Mathematical and computational modeling of genetic regulatory networks promises to uncover the fundamental principles governing biological systems in an integrative and holistic manner. It also paves the way toward the development of systematic approaches for effective therapeutic intervention in disease. The central theme in this paper is the Boolean formalism as a building block for modeling complex, large-scale, and dynamical networks of genetic interactions. We discuss the goals of modeling genetic networks as well as the data requirements. The Boolean formalism is justified from several points of view. We then introduce Boolean networks and discuss their relationships to nonlinear digital filters. The role of Boolean networks in understanding cell differentiation and cellular functional states is discussed. The inference of Boolean networks from real gene expression data is considered from the viewpoints of computational learning theory and nonlinear signal processing, touching on computational complexity of learning and robustness. Then, a discussion of the need to handle uncertainty in a probabilistic framework is presented, leading to an introduction of probabilistic Boolean networks and their relationships to Markov chains. Methods for quantifying the influence of genes on other genes are presented. The general question of the potential effect of individual genes on the global dynamical network behavior is considered using stochastic perturbation analysis. This discussion then leads into the problem of target identification for therapeutic intervention via the development of several computational tools based on first-passage times in Markov chains. Examples from biology are presented throughout the paper.     

海洋通信的最新进展综述

This paper summarizes the requirements for modern maritime wireless communication networks in the marine environments including the sea-to-sea and sea-to-shore communication scenarios. The existing maritime wireless communication systems are presented and the development of the state-of-the-art maritime communication systems is surveyed. Furthermore, a hierarchical and integrated maritime network architecture is proposed to satisfy the increasing various classes of services which demand different Quality of Service (QoS). Finally, the open issues for further development of maritime communications are identified.     

Measurements of Human Body Attenuation and Dual Polarized Diversity Gain for 38 GHz Millimeter-Wave Channel

Wireless Personal Communications - Due to the increasing demand for higher bandwidth in modern communication systems, conventional networks are continuously expanded with new technologies to...     

基于贝叶斯网络的通信网告警相关性和故障诊断模型

该文采用贝叶斯网络建立告警相关性和故障诊断模型。首先介绍了基于贝叶斯网络推理的基本概念。提出了通信网功能分层结构的思想,建立不同网络层次间的故障传播模型。详细讨论了从故障传播模型中构造贝叶斯网络,以及分布式告警相关性模型的实现框架。最后结合SDH over DWDM系统,具体分析了基于贝叶斯网络的告警相关性分析过程及实验结果。实验证明利用贝叶斯网络能够准确定位通信网根故障点。     

噪声功率时变的瑞利慢衰落信道有限状态Markov模型

对衰落信道的准确建模对于自适应无线通信、认知无线电等应用中的信道预测具有重要意义。针对噪声功率存在时变特性的无线通信应用环境,提出了一种新的瑞利衰落信道的有限状态Markov模型。通过将接收信号的衰落电平进行离散化处理,建立了衰落电平区间与Markov模型状态之间的一一对应关系,推导了门限电平与状态转移概率和状态分布概率之间的理论关系式,并在此基础上提出了一种易于实现的基于等概率的信道模型。理论分析与仿真结果表明:在噪声功率时变的条件下,已有的基于信噪比的模型失效,而该模型能准确反映信道的衰落特性,最大相对误差小于7%。      

基于仿真的复杂通信网络设计方法

随着现代通信网络规模扩大化以及网络的结构复杂化,传统的网络设计方法越来越难以满足复杂通信网设计的需要,将网络仿真建模和分析与复杂通信网络设计相融合,给出了基于仿真的复杂通信网络设计流程,为复杂通信网络设计提供了一个定量分析和设计的方法。基于仿真的网络设计方法以网络指标需求为目标,采用循环递推的方式,反复修正网络设计,最终获得一个满足网络指标需求的最优网络设计方案。     

基于特征根优化的无线网络控制系统故障检测滤波器设计

为提高无线传感器执行器网络(WSANs)的可靠性,本文提出了一种面向WSANs的故障检测滤波器的优化设计方法.针对无线网络固有的较大的数据包传输延迟,本文将该传输延迟对网络控制系统的影响建模为一种外部噪音,创造性地提出了基于特征根分解和扰动频率估计的优化算法,以滤除网络传输延迟导致的噪音.该方法只需在有限个频率点对目标函数进行优化,且避免了马尔科夫转移矩阵难以获得的难题.最后,通过MATLAB/NS2的混合仿真验证了该设计的有效性.     

Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges

Vehicle-to-vehicle communications have recently received much attention due to some new applications, such as wireless mobile ad hoc networks, relay-based cellular networks, and intelligent transportation systems for dedicated short range communications. The underlying V2V channels, as a foundation for the understanding and design of V2V communication systems, have not yet been sufficiently investigated. This article aims to review the state-of-the-art in V2V channel measurements and modeling. Some important V2V channel measurement campaigns and models are briefly described and classified. Finally, some challenges of V2V channel measurements and modeling are addressed for future studies.     

Adjacent Satellite Interference Effects on the Outage Performance of a Dual Polarized Triple Site Diversity Scheme

The design of reliable, modern satellite communication networks, in which both frequency and orbital congestion are increasing, requires modeling of interference effects. The dominant sources of aggravation of nominal interference due to propagation phenomena are assumed to be differential rain attenuation from an adjacent satellite communication network operating at the same frequency and cross polarization due to rain and ice-crystals. A physical methodology to predict the statistics of the carrier-to-noise-plus-total-interference (CNIDR), which has already been applied to single and double-site systems, is extended to include triple-site diversity reception schemes. This method is based on a model of convective raincells model and the lognormal assumption for both the point rainfall statistics and slant path rain attenuation. The statistical properties of spatial inhomogeneity of rain attenuation over six satellite slant paths is firstly here presented. A set of simple, approximate formulas are presented which follow from a regression analysis on the previous theoretical results. The results serve to examine the influence of various parameters upon the total availability performance.     

Location management strategies for cellular mobile networks

Location management in mobile communication systems is concerned with those network functions necessary to allow the users to be reached wherever they are in the network coverage area. The basic operations for that purpose-paging and location updating-are resource-consuming since both involve signalling over the radio link between the mobile stations and base stations. Future cellular mobile communication networks (wireless personal communication networks (PCN)) will have to support a large number of users, so a significant amount of radio signalling can be expected. This paper describes the conventional location management strategy (the one used in modern cellular systems like the Global System for Mobile communications (GSM)) and reviews, describes and comments on some alternative location management proposals for future high-density PCN environments that aim to reduce this expected high (radio) signalling load     

Networks and their architectures

Computer and data networks are the mechanism by which information systems are interconnected. The underlying technology and the principles of design for the architectures of such networks are still limited but the demands placed upon them are of continually increasing sophistication. The author reviews the ways in which a classification of networks can be determined, thereby providing a perspective for the designers of modern communication networks. It is the classification of networks (based upon wide-area networks, metropolitan area networks and local-area networks) which causes great confusion and so he sets out to explain how the spirit of classification should be used and not necessarily the law in order to appreciate the characteristics of the various types of network     

General N-State Markov Model for Rain Attenuation Time Series Generation

Nowadays and mainly in the near future the wireless point-to-point or point-to-multipoint connections are operating in high frequency. These systems are applied in feeder network for future cellular mobile communication systems or BFWA (Broadband Fixed Wireless Access) networks. Besides the obvious benefits of the applied high carrier frequency there is a significant disadvantage, the considerable attenuation caused by precipitation, especially by rain. For accurate planning of the proposed microwave links the statistics of the expectable rain attenuation is highly important. Applying our previous research results the this work provides a general N-state Markov Chain model to generate rain attenuation time series on a proposed microwave link according to the link parameters. The first and second order rain attenuation statistics of the generated time series can be derived directly from the Markov model parameters, so the N-state Markov model can be applied for prediction of rain attenuation on the proposed link even in the early planning phase. With our proposed model very accurate realisation of the physical fade process can be achieved.     

Modeling Mobility Tracking Procedures in PCS Systems Using Stochastic Activity Networks

In this paper the capability of stochastic activity networks (SANs) has been used as a novel approach in the analysis of mobility tracking procedures. To evaluate complex systems such as cellular systems, powerful tools for modeling and analysis are required. SANs have proved to be very flexible and powerful tools in the study of location update (LU) and paging (PG) schemes. SANs can capture, in a simple manner and from the mobility models under study, much more detail than Markov models. Therefore, the analysis of mobility tracking procedures with SANs provides more accuracy than the use of Markov models. This fact is illustrated in the paper by considering the LU and PG schemes proposed in Ref. [12]. Furthermore, our results show a much better performance of these schemes than that predicted by Ref. [12].     

Modeling and minimization of FWM effects in DWDM-based long-haul optical communication systems

Photonic Network Communications - Optical communication systems (OCSs) mainly represent the backbone of modern long-haul communication networks because of low loss transmission over long distances...     

On the approximation of the output process of multiuserrandom-access communication networks

Bernoulli and first-order Markov processes are used to approximate the output process of a class of slotted multiuser random-access communication networks. The output process is defined as the process of the successfully transmitted packets within the network. The parameters of the approximating processes are analytically calculated for a network operating under a specific random access algorithm. The applied methods are general and can be used to calculate these parameters in the case of any random access algorithm within a class. To evaluate the accuracy of the approximations, a star topology of interconnected multiuser random-access communication networks is considered. The mean time that a packet spends in the central node of the star topology is calculated under the proposed approximations of the output processes of the interconnected networks. The results are compared to simulation results of the actual system. It turns out that the memoryless approximation gives satisfactory results up to a certain per network traffic load. Beyond that per network traffic load, the first-order Markov process performs better     

Analysis of effective capacity for visible light communication systems with mobility support

Visible light communications (VLCs) are competitive and attractive candidates for next generation indoor communication networks which are required to support mobility and guarantee delay QoS (Quality of Service) for users. User movement in VLC systems changes the propagation path, including the distance, the angle of incidence and irradiance, all of which have a significant impact on channel gain and link capacity. In this paper, we present a user mobility model for indoor VLC systems with the help of discrete time Markov chain theory. Considering a service process with temporal correlation caused by user mobility, we derive the effective capacity (EC) for VLC systems which characterizes the capacity performance subject to the user’s statistical delay QoS. Moreover, the effect of the user’s mobility on effective capacity is revealed.