Intelligent Flow Control Technique of ABR Service in ATM Networks Based on Fuzzy Neural Networks

ＩｎｔｅｌｉｇｅｎｔＦｌｏｗＣｏｎｔｒｏｌＴｅｃｈｎｉｑｕｅｏｆＡＢＲＳｅｒｖｉｃｅｉｎＡＴＭＮｅｔｗｏｒｋｓＢａｓｅｄｏｎＦｕｚｚｙＮｅｕｒａｌＮｅｔｗｏｒｋｓ①ＺｈａｎｇＬｉａｎｇｊｉｅＬｉＹａｎｄａＬｉＱｉｎｇｈｕａＷａｎｇＰｕ（ＤｅｐｔｏｆＡ...     

Resources Management in Active Networks

1　ＩｎｔｒｏｄｕｃｔｉｏｎＷｈｅｎａｒｏｕｔｅｒｆｏｒｗａｒｄｓａｐａｃｋｅｔｉｎｃｏｎｖｅｎｔｉｏｎ ａｌｎｅｔｗｏｒｋｓ,ｉｔｏｎｌｙｕｓｅｓｆｅｗｓｙｓｔｅｍｒｅｓｏｕｒｃｅｓ ,ｆｏｒｅｘａｍｐｌｅ,ｉｔｕｓｅｓｌｉｔｔｌｅｍｅｍｏｒｙｒｅｓｏｕｒｃｅｓｔｏｔｅｍ ｐｏｒａｒｉｌｙｓｔｏｒｅｔｈｉｓｐａｃｋｅｔａｎｄｆｅｗＣＰＵｒｅｓｏｕｒｃｅｓｔｏｓｅａｒｃｈｆｏｒｗａｒｄｉｎｇｒｏｕｔｅａｎｄｐｒｏｃｅｓｓＩＰｏｐｔｉｏｎｐａ ｒａｍｅｔｅｒｓ.Ｃｏｍｐａｒｅｄｔｏｃｏｎｖｅｎｔｉｏｎａｌ…     

Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks

ＣｏｎｎｅｃｔｉｏｎＡｄｍｉｓｓｉｏｎＣｏｎｔｒｏｌｉｎＡＴＭＮｅｔｗｏｒｋｓＢａｓｅｄｏｎｔｈｅＦｏｒｅｇｒｏｕｎｄａｎｄＢａｃｋｇｒｏｕｎｄＮｅｕｒａｌＮｅｔｗｏｒｋｓ￥ＭａＸｕｄｏｎｇ；ＬｕｅｅＴｉｎｇｊｉｅａｎｄＬｉａｎｇＸｉｏｎｇｊｉａｎ（...     

Analysis of Crosstalk Induced by Optical Cross-Connection in Multiwavelength Networks

ＡｎａｌｙｓｉｓｏｆＣｒｏｓｔａｌｋＩｎｄｕｃｅｄｂｙＯｐｔｉｃａｌＣｒｏｓ－ＣｏｎｎｅｃｔｉｏｎｉｎＭｕｌｔｉｗａｖｅｌｅｎｇｔｈＮｅｔｗｏｒｋｓＳｈｅｎＸｉａｏａｎｄＹｅＰｅｉｄａ（ＢｅｉｊｉｎｇＵｎｉｖｅｒｓｉｔｙｏｆＰｏｓｔｓａｎｄＴｅｌｅｃ...     

Application of Recurrent Wavelet Neural Networks to the Digital Communications Channel Blind Equalization

ＡｐｐｌｉｃａｔｉｏｎｏｆＲｅｃｕｒｒｅｎｔＷａｖｅｌｅｔＮｅｕｒａｌＮｅｔｗｏｒｋｓｔｏｔｈｅＤｉｇｉｔａｌＣｏｍｍｕｎｉｃａｔｉｏｎｓＣｈａｎｎｅｌＢｌｉｎｄＥｑｕａｌｉｚａｔｉｏｎ＊＊ＴｈｉｓｗｏｒｋｗａｓｓｕｐｐｏｒｔｅｄｂｙｔｈｅＣｌｉｍｂ...     

Design Methodology of the Structure of Postal Express Mail Networks of Aviation Channels in China

1　ＩｎｔｒｏｄｕｃｔｉｏｎＩｎｏｒｄｅｒｔｏｉｍｐｒｏｖｅｔｈｅｑｕａｌｉｔｙｏｆｐｏｓｔａｌｓｅｒｖｉｃｅａｎｄｔａｋｅａｄｖａｎｔａｇｅｏｆａｕｔｏｍａｔｅｄｍａｉｌｓｏｒｔｉｎｇｅｑｕｉｐ ｍｅｎｔｓ,ｉｔｈａｓｂｅｅｎｄｅｔｅｒｍｉｎｅｄｔｏｃｏｎｓｔｒｕｃｔｔｈｅｐｏｓｔａｌａｒｅａｃｅｎｔｅｒｏｆｆｉｃｅｓｙｓｔｅｍｉｎＣｈｉｎａＰｏｓｔａｌＳｅｒ ｖｉｃｅ (ＣＰＳ) .ＴｈｅｃｒｕｘｏｆｔｈｅｐｒｏｂｌｅｍｆａｃｅｄｂｙＣＰＳｉｓｔｏｒｅｄｅｓｉｇｎｔｈｅｐｏｓｔａｌｃｏｍｍｕｎｉｃａ…     

A Study of Schemes for Internet Data Transmission Based on CATV Networks

1　ＴｈｅＣａｕｓｅｏｆｔｈｅＰｒｏｂｌｅｍＴｈｅＣＡＴＶｎｅｔｗｏｒｋｈａｓｂｅｅｎｄｅｖｅｌｏｐｅｄｒａｐｉｄｌｙｉｎｔｈｅｐａｓｔｆｅｗｙｅａｒｓ.Ｂｙｔｈｅｅｎｄｏｆ 1 998,ｔｈｅｃｏｎ ｓｕｍｅｒｓｈａｄｒｅａｃｈｅｄ 6 70ｍｉｌｌｉｏｎ ,ａｎｄｂｙｔｈｅｅｎｄｏｆｌａｓｔｃｅｎｔｕｒｙ ,ｔｈｅｃｏｎｓｕｍｅｒｓｒｅａｃｈｅｄ 85 0ｍｉｌｌｉｏｎ .Ｍｏｒｅｏｖｅｒ,ｔｈｅｎｕｍｂｅｒｏｆｃｏｎｓｕｍｅｒｓｗｉｌｌｂｅｍｏｒｅｔｈａｎ 1 0 0 0ｍｉｌｌｉｏｎ ,ａｎｄｔｈｅＣＡＴＶｎｅｔｗｏｒｋｗ…     

Methodology and Algorithms for Planning Cost-Effective High Survivability SDH Networks

ＭｅｔｈｏｄｏｌｏｇｙａｎｄＡｌｇｏｒｉｔｈｍｓｆｏｒＰｌａｎｎｉｎｇＣｏｓｔＥｆｅｃｔｉｖｅＨｉｇｈＳｕｒｖｉｖａｂｉｌｉｔｙＳＤＨＮｅｔｗｏｒｋｓＬｏｎｇＫｅｐｉｎｇａｎｄＣｈｅｎｇＪｉｎｕ（ＩｎｓｔｉｔｕｔｅｏｆＲｅｓｅａｒｃｈ，Ｃｈｏｎｇｑ...     

Evolving Fuzzy Neural Networks for Extracting Rules

ＥｖｏｌｖｉｎｇＦｕｚｚｙＮｅｕｒａｌＮｅｔｗｏｒｋｓｆｏｒＥｘｔｒａｃｔｉｎｇＲｕｌｅｓ＊＊ＴｈｉｓｗｏｒｋｗａｓｓｕｐｐｏｒｔｅｄｂｙｔｈｅＣｌｉｍｂｉｎｇＰｒｏｇｒａｍｍｅ┐ＮａｔｉｏｎａｌＫｅｙＰｒｏｊｅｃｔｆｏｒＦｕｎｄａｍｅｎｔａｌＲｅｓ...     

A Genetic Algorithm for Routing in Packet—Switched Communication Networks

ＡＧｅｎｅｔｉｃＡｌｇｏｒｉｔｈｍｆｏｒＲｏｕｔｉｎｇｉｎＰａｃｋｅｔ┐ＳｗｉｔｃｈｅｄＣｏｍｍｕｎｉｃａｔｉｏｎＮｅｔｗｏｒｋｓＨｅＣｕｉｈｏｎｇＯｕＹｉｓｈａｎＬｉＸｉａｎｊｉ（ＧｕａｎｇｄｏｎｇＩｎｓｔｉｔｕｔｅｏｆＴｅｃｈｎｏｌｏｇｙ，Ｇｕａ...     

TCP/IP网络的动态模型描述

拥塞现象成为TCP/IP网络发展面临的一个重要问题。因此，拥塞控制对TCP/IP网络的鲁棒性和稳定性具有重要作用。目前，网络拥塞控制策略主要包括两类：端到端的控制机制，如TCP拥塞控制算法；网络内部的主动队列管理(AQM)策略。但由于缺乏对网络系统动态特性的了解，这些拥塞控制策略大都基于专家经验，并没有建立完整的理论分析框架。为此，本文从数据流的角度出发，通过建立网络基本单元状态方程模型来实现IP网络系统的数学解析模型，然后用混杂系统来描述TCP带有拥塞控制策略的数据传输过程，建立了TCP/IP网络的动态模型，为网络系统中动态性能的分析、拥塞控制策略的设计奠定了基础。实验结果表明，该数学模型与NS仿真实验的结果相一致。     

ATM网络中ABR业务的监控方案

基于离散事件动态系统理论,提出了一种崭新的用于控制ＡＴＭ网络中ＡＢＲ业务流量的监控方案,这种方案具有简单易于实现的特点,仿真结果与理论预测值的一致证明了该方案的正确性。     

Scalable Quasi‐Dynamic‐Provisioning‐Based Admission Control Mechanism in Differentiated Service Networks

The architecture in a differentiated services (DiffServ) network is based on a simple model that applies a per‐class service in the core node of the network. However, because the network behavior is simple, the network structure and provisioning is complicated. If a service provider wants dynamic provisioning or a better bandwidth guarantee, the differentiated services network must use a signaling protocol with QoS parameters or an admission control method. Unfortunately, these methods increase the complexity. To overcome the problems with complexity, we investigated scalable dynamic provisioning for admission control in DiffServ networks. We propose a new scalable qDPM² mechanism based on a centralized bandwidth broker and distributed measurement‐based admission control and movable boundary bandwidth management to support heterogeneous QoS requirements in DiffServ networks.     

光网络的动态特性与可扩展性

光网络正从静态光网络逐步演进为动态和智能的光网络,在演进过程中,光网络的动态特性越来越重要。一些可行的控制管理算法、策略和信令方法在网络规模扩大之后性能会严重恶化,因此光网络的可扩展性越来越受到研究者的重视。动态特性和可扩展性都是网络发展的需求,然而二者在存在一定的相互制约,通过建立分层分域的机制可以有效的环节这种制约,为实现动态特性良好、智能化程度高同时可扩展的光网络提供了可能。     

Performance analysis of cellular networks

Dynamic channel allocation can reduce the probability of blocking in cellular telephone networks. However, more is needed to achieve optimal performance. The author aims at estimating the minimal blocking probability for some simple cellular networks. Some dynamic channel allocation strategies are analyzed, the optimal performance (obtained by dynamic allocation and flow control) of some very simple networks is computed, and simple bounds on optimal performance are presented. These results lead to a better understanding of cellular networks and can be used to evaluate new control algorithms     

Comparison of Routing Procedures for Circuit-Switched Traffic in Nonhierarchical Networks

In this paper, we compare the use of different types of routing procedures for circuit-switched traffic in nonhierarchical networks. The main performance criterion used is the end-to-end blocking probability. The results show that if the network traffic is light, alternate routing performs better than nonalternate routing, but if the network traffic is heavy, the situation is reversed. To improve the performance of networks using alternate routing, different types of strategies varying from fixed control to dynamic control are introduced. A comparison based on numerical examples shows the improvement in performance attained by using a dynamic control strategy compared to fixed control. Good control techniques result in nonalternate routing under heavy traffic loads; nonalternate routing is the most viable alternative in nonhierarchical networks under heavy traffic conditions.     

基于遗传算法的动态Bayesian网结构学习的研究

动态Bayesian网是复杂随机过程的图形表示形式,从数据中学习建造动态Bayesian网是目前的研究热点问题.本文针对该问题提出了一种遗传算法.文中设计了结合数学期望的适应度函数,该函数利用进化过程中的最好动态Bayesian网把不完备数据转换成完备数据,使动态Bayesian网的学习分解为两个Bayesian网(初始网和转换网)的学习,简化了学习的复杂度.此外,文中给出了网络结构的编码方案,设计了相应的遗传算子.模拟实验结果表明,该算法能有效地从不完备数据序列中学习动态Bayesian网,并且实验结果说明了隐藏变量的作用和遗传控制参数对结果模型的影响.     

认知无线网络中一种新的反压式传输控制机制

认知无线网络中资源动态变化,必须制定特别的传输控制机制来协调各节点间的传输.该文提出一种新的反压式传输控制机制,充分利用局部节点间的调整能力,将端到端传输中出现的不良网络状况尽量解决在局部,使得源节点可以较温和地做出端到端控制,从而保证端到端传输的高效与平稳.大量仿真证明,该文控制机制能有效适应认知无线网络的动态环境,保证较高效且平稳的端到端传输.     

Polymorphic Architectures for Optical Networks and their Seamless Evolution towards Next Generation Networks

This paper proposes a novel polymorphic framework for optical networking and a seamless evolution path from optical circuit-switched towards optical packet-switched networks. We show that by simultaneously supporting several optical switching paradigms in a single physical topology, efficient and flexible optical networks can be built. The supported paradigms are associated with different Classes of Service (CoS) in order to provide service differentiation at the optical layer. Two polymorphic architectures are presented, one based on optical circuit switching paradigms with different grades of dynamism, and a second one based on optical labeled burst-switched networks with the added capability of dynamic lightpath provisioning. These architectures provide a seamless evolution path towards an efficient IP-over-WDM approach with service differentiation. Moreover, the proposed polymorphic architectures are fully compatible with the GMPLS unified control plane. We present in a detailed form the proposed polymorphic framework, including the selection of switching paradigms, its support for CoS, the network and control architecture, and a possible seamless evolution towards optical packet-switched networks. Possible implementation examples of optical network nodes that support the proposed polymorphic architectures are also presented.     

Spracherkennung mit Hidden Control Neural Networks

Hidden control neural networks (HCN networks) are suitable for a variety of pattern recognition techniques. The speech recognizer described here is built for speaker-independent single-word recognition and is intended to implement user interfaces to control devices via simple word-commands. To evaluate the speech recognizer, it has been applied to minimum pairs. Within a minimum pair two words differ only in a single phoneme. It was achieved to increase the recognition rate while taking those periods of time especially into account, that are found to contain the relevant difference.