CAPACITY DISTRIBUTIONS IN SPATIAL STOCHASTIC MODELS FOR TELECOMMUNICATION NETWORKS
نویسندگان
چکیده
منابع مشابه
Capacity Distributions in Spatial Stochastic Models for Telecommunication Networks
We consider the stochastic subscriber line model as a spatial stochastic model for telecommunication networks and we are interested in the evaluation of the required capacities at different locations of the network in order to provide, in fine, an estimation of the cable system which has to be installed. In particular, we consider hierarchical telecommunication networks with higher–level compon...
متن کاملCapacity and Survivability Models for Telecommunication Networks
Designing low-cost networks that survive certain failure situations is one of the prime tasks in the telecommunication industry. In this paper we survey the development of models for network survivability used in practice in the last ten years. We show how algorithms integrating polyhedral combinatorics, linear programming, and various heuristic ideas can help solve real-world network dimension...
متن کاملProcesses and Models for Capacity Requirements in Telecommunication Systems
Capacity is an essential quality factor in telecommunication systems. The ability to develop systems with the lowest cost per subscriber and transaction, that also meet the highest availability requirements and at the same time allow for scalability, is a true challenge for a telecommunication systems provider. This thesis describes a research collaboration between Linköping University and Eric...
متن کاملTraac Models in Broadband Telecommunication Networks
Traac models are at the heart of any performance evaluation of telecommunications networks. An accurate estimation of network performance is critical for the success of broadband networks. Such networks need to guarantee an acceptable quality of service (QoS) level to the users. Therefore, traac models need to be accurate and able to capture the statistical characteristics of the actual traac. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Image Analysis & Stereology
سال: 2011
ISSN: 1854-5165,1580-3139
DOI: 10.5566/ias.v28.p155-163