Telecommunications Network Planning and Maintenance

Telecommunications network operators are on a constant challenge to provide new services which require ubiquitous broadband access. In an attempt to do so, they are faced with many problems such as the network coverage or providing the guaranteed Quality of Service (QoS). Network planning is a multi-objective optimization problem which involves clustering the area of interest by minimizing a cost function which includes relevant parameters, such as installation cost, distance between user and base station, supported traffic, quality of received signal, etc. On the other hand, service assurance deals with the disorders that occur in hardware or software of the managed network. This paper presents a large number of multicriteria techniques that have been developed to deal with different kinds of problems regarding network planning and service assurance. The state of the art presented will help the reader to develop a broader understanding of the problems in the domain

Traffic Management and Congestion Control in the ATM Network Model.

Asynchronous Transfer Mode (ATM) networking technology has been chosen by the International Telegraph and Telephony Consultative Committee (CCITT) for use on future local as well as wide area networks to handle traffic types of a wide range. It is a cell based network architecture that resembles circuit switched networks, providing Quality of Service (QoS) guarantees not normally found on data networks. Although the specifications for the architecture have been continuously evolving, traffic congestion management techniques for ATM networks have not been very well defined yet. This thesis studies the traffic management problem in detail, provides some theoretical understanding and presents a collection of techniques to handle the problem under various operating conditions. A detailed simulation of various ATM traffic types is carried out and the collected data is analyzed to gain an insight into congestion formation patterns. Problems that may arise during migration planning from legacy LANs to ATM technology are also considered. We present an algorithm to identify certain portions of the network that should be upgraded to ATM first. The concept of adaptive burn-in is introduced to help ease the computational costs involved in virtual circuit setup and tear down operations

Collective intelligence and priority routing in networks

Abstract: This paper describes how biologically-inspired agents can be used to solve complex routing problems incorporating prioritized information flow. These agents, inspired by the foraging behavior of ants, exhibit the desirable characteristics of simplicity of action and interaction. The collection of agents, or swarm system, deals only with local knowledge and exhibits a form of distributed control with agent communication effected through the environment. While ant-like agents have been applied to the routing problem, previous work has ignored the problems of agent adaptation, multi-path and priority-based routing. These are discussed here.

NETWORK DESIGN UNDER DEMAND UNCERTAINTY

A methodology for network design under demand uncertainty is proposed in this dissertation. The uncertainty is caused by the dynamic nature of the IP-based traffic which is expected to betransported directly over the optical layer in the future. Thus, there is a need to incorporate the uncertainty into a design modelexplicitly. We assume that each demand can be represented as a random variable, and then develop an optimization model to minimizethe cost of routing and bandwidth provisioning. The optimization problem is formulated as a nonlinear Multicommodity Flow problemusing Chance-Constrained Programming to capture both the demand variability and levels of uncertainty guarantee. Numerical work ispresented based on a heuristic solution approach using a linear approximation to transform the nonlinear problem to a simpler linearprogramming problem. In addition, the impact of the uncertainty on a two-layer network is investigated. This will determine how theChance-Constrained Programming based scheme can be practically implemented. Finally, the implementation guidelines for developingan updating process are provided

Epon Communication Network Topology Planning Based on Node Importance of Active Distribution Network

A large amount of DGs (distributed generations) and distributed resources accessing to distribution network is a characteristic of present distribution network. So the concept of the active distribution network is proposed, which is a new form of distribution network with flexible power network structure and active control and management with high permeability of DGs in the distribution network. According to the actual operation state of power system, active distribution network actively manages the massive distributed power supply and adaptively adjusts the network to satisfy the requirements of economy and security power supply. This thesis aims to propose a feasible optimization scheme for the communication network based on the evaluation results of all nodes’ importance in the distribution network. This solution not only meets the current technical requirements, but also considers the possible expansion of communication network in the future. Different from the most used dual link connection for all communication network nodes, this section of this thesis selects a certain portion of the important nodes in the power grid for optimization, and the remaining nodes connected to the communication network adopt a single link. The optimization result can provide a more scientific and reasonable solution for planner to build a communication network. The link entropy index is used to evaluate the edges’ significance on maintaining the global connectivity for the whole power and communication network

Epon Communication Network Topology Planning Based on Node Importance of Active Distribution Network

A large amount of DGs (distributed generations) and distributed resources accessing to distribution network is a characteristic of present distribution network. So the concept of the active distribution network is proposed, which is a new form of distribution network with flexible power network structure and active control and management with high permeability of DGs in the distribution network. According to the actual operation state of power system, active distribution network actively manages the massive distributed power supply and adaptively adjusts the network to satisfy the requirements of economy and security power supply. This thesis aims to propose a feasible optimization scheme for the communication network based on the evaluation results of all nodes’ importance in the distribution network. This solution not only meets the current technical requirements, but also considers the possible expansion of communication network in the future. Different from the most used dual link connection for all communication network nodes, this section of this thesis selects a certain portion of the important nodes in the power grid for optimization, and the remaining nodes connected to the communication network adopt a single link. The optimization result can provide a more scientific and reasonable solution for planner to build a communication network. The link entropy index is used to evaluate the edges’ significance on maintaining the global connectivity for the whole power and communication network

Application of learning algorithms to traffic management in integrated services networks.

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