Overview Statistic: PDF-Downloads (blue) and Frontdoor-Views (gray)

Multistage Stochastic Programming in Strategic Telecommunication Network Planning

  • Mobile communication is nowadays taken for granted. Having started primarily as a service for speech communication, data service and mobile Internet access are now driving the evolution of network infrastructure. Operators are facing the challenge to match the demand by continuously expanding and upgrading the network infrastructure. However, the evolution of the customer's demand is uncertain. We introduce a novel (long-term) network planning approach based on multistage stochastic programming, where demand evolution is considered as a stochastic process and the network is extended as to maximize the expected profit. The approach proves capable of designing large-scale realistic UMTS networks with a time-horizon of several years. Our mathematical optimization model, the solution approach, and computational results are presented in this paper.
Metadaten
Author:Andreas Eisenblätter, Jonas SchweigerORCiD
Document Type:Article
Parent Title (English):Computational Management Science
Volume:9
Issue:3
First Page:303
Last Page:321
Publisher:Springer
Year of first publication:2012
Preprint:urn:nbn:de:0297-zib-12232
DOI:https://doi.org/10.1007/s10287-012-0143-5
Accept ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.