Network planning and design

About: Network planning and design is a research topic. Over the lifetime, 12393 publications have been published within this topic receiving 229776 citations. The topic is also known as: network design.

Frequency assignment in cellular phone networks

Abstract: We present a graph-theoretic model for the frequency assignment problem in cellular phone networks. Obeying several technical and legal restrictions, frequencies have to be assigned to transceivers so that interference is as small as possible. This optimization problem is NP-hard. Good approximation cannot be guaranteed unless P = NP. We describe several assignment heuristics. These heuristics are simple and not too hard to implement. We give an assessment of the heuristics' efficiency and practical usefulness. For this purpose, typical instances of frequency assignment problems with up to 4240 transceivers and 75 frequencies of a German cellular phone network operator are used. The results are satisfying from a practitioner's point of view. The best performing heuristics were integrated into a network planning system used in practice.

Site selection of raingauges using entropy methodologies

Abstract: Data on precipitation – one of the important processes of the hydrological cycle – are necessary in water projects. Recognition of precipitation characteristics is necessary in dealing with flood control, plant water requirements, drainage systems design, and so on. Rainfall network design, defined as the proper density and distribution of raingauges in a region's rainfall network, is thus a necessary step toward the success of water projects and regional programming by effective use of data. Monitoring network design involves determining an adequate number and location of stations and providing design criteria for the stations, which may be different even for the same network. In this paper, the location of new rainfall stations in the Gav-Khuni basin rainfall network is determined using the concept of entropy with different criteria. For raingauge site selection, both sequential and genetic algorithms (SAs and GAs) are used. Maximisation of minimum entropy and maximisation of mean entropy objectives are...

Route optimization and traffic management in an ATM network using neural computing

Abstract: Neural computing techniques are used to optimize route selection in a communication network, such as an ATM network. Output measurements of the network are used to provide optimal routing selection and traffic management. Specifically, link data traffic is monitored in the network to obtain traffic history data. An autoregressive backpropagation neural network is trained using the traffic history data to obtain respective predicted traffic profiles for the links. Particular links are then selected for carrying data based on the predicted traffic profiles. A cost function, limits on network parameters such as link cost and cell rate, and other quality of service factors are also considered in selecting the optimal route.

Method and system for multi-layer network routing

Abstract: Each node of a telecommunications network determines a connection type attributes available for each signal type supported by the node. Each signal type represents a different connection routing layer within the telecommunications network. Adaptation costs involved in traversing from one connection routing layer to another connection routing layer in the node are calculated. The connection type attributes and adaptation costs are included in a link state advertisement broadcasted by each node in the telecommunications network. A route calculation is performed for a desired signal to determine a route through the telecommunications network for the signal. The route calculation takes into account the various connection type attributes, availability, and adaptation costs in determining the shortest route for the signal through the telecommunications network.