Multistage stochastic programming in strategic telecommunication network planning
Mobile communication is taken for granted in these days. 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 a...
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| Veröffentlicht in: | Computational management science 2012-08, Vol.9 (3), p.303-321 |
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| creator | Eisenblätter, Andreas Schweiger, Jonas |
| description | Mobile communication is taken for granted in these days. 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 so 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. |
| doi_str_mv | 10.1007/s10287-012-0143-5 |
| format | Article |
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| source | SpringerNature Journals |
| subjects | Business and Management Communication Computer programming Customer services Demand Evolution Infrastructure Marketing Mathematical models Multistage Networks Operations Research/Decision Theory Optimization Original Paper Programming Radio networks Reference services Stochastic models Strategic planning Studies Telecommunications Wireless networks |
| title | Multistage stochastic programming in strategic telecommunication network planning |
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