This paper describes the design process for a large-scale communication network that provides cordless access telephone services. A qualitative analysis of all the major aspects and main parameters is given. Quantitative models are also developed to find lower and upper bounds for the system blockin
Analyzing network availability of a mobile data network: A case study
β Scribed by Bernard L. Malone III; Abhaya Asthana
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 2006
- Tongue
- English
- Weight
- 307 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1089-7089
No coin nor oath required. For personal study only.
β¦ Synopsis
The modern business climate presents challenges with the evolution and convergence of networks, the use of third-party equipment, outsourcing and changes in customers' management of networks. While driving the same availability requirements, these modern challenges cause a need for designers to apply increased attention to a full network view of availability, including products manufactured by third-party suppliers. Traditional models of reliability are generally based on either a component or system view and provide a solid theoretical foundation for predicting system reliability. But modern business challenges tend to disrupt the application of traditional models. This paper analyzes the modern mobile data network of one service provider. It begins with requirements and expectations derived from Lucent Technologies' history and core competency. With those expectations, it then presents an analysis that was performed. It compares the modern data network topology to that of the traditional voice telecommunications network for reference to help maintain a solid reliability strategy. Finally, emphasizing the importance of a network-wide view of reliability helps maintain overall control of reliability.
π SIMILAR VOLUMES
In order to improve the distribution system for the Nordic countries the BASF AG considered 13 alternative scenarios to the existing system. These involved the construction of warehouses at various locations. For every scenario the transportation, storage, and handling cost incurred was to be as low
The forecasting capabilities of feed-forward neural network (FFNN) models are compared to those of other competing time series models by carrying out forecasting experiments. As demonstrated by the detailed forecasting results for the Canadian lynx data set, FFNN models perform very well, especially