Network Planning
| Vortragende/r (Mitwirkende/r) | |
|---|---|
| Nummer | 0820092070 |
| Art | Vorlesung mit integrierten Übungen |
| Umfang | 3 SWS |
| Semester | Wintersemester 2026/27 |
| Unterrichtssprache | English |
| Stellung in Studienplänen | Siehe TUMonline |
| Termine | Siehe TUMonline |
- 14.10.2026 16:45-19:15 0406, Seminarraum
- 21.10.2026 16:45-19:15 0406, Seminarraum
- 28.10.2026 16:45-19:15 0406, Seminarraum
- 04.11.2026 16:45-19:15 0406, Seminarraum
- 11.11.2026 16:45-19:15 0406, Seminarraum
- 18.11.2026 16:45-19:15 0406, Seminarraum
- 25.11.2026 16:45-19:15 0406, Seminarraum
- 02.12.2026 16:45-19:15 0406, Seminarraum
- 09.12.2026 16:45-19:15 0406, Seminarraum
- 16.12.2026 16:45-19:15 0406, Seminarraum
- 23.12.2026 16:45-19:15 0406, Seminarraum
- 13.01.2027 16:45-19:15 0406, Seminarraum
- 20.01.2027 16:45-19:15 0406, Seminarraum
- 27.01.2027 16:45-19:15 0406, Seminarraum
- 03.02.2027 16:45-19:15 0406, Seminarraum
Teilnahmekriterien
Beschreibung
Introduction: Motivation, Range of Tasks, Application Areas, Classification, Planning Process, Traffic Engineering;
Related Optimization Fundamentals: Mathematical Formulation, Categories, Solution Methods (principles of exact and heuristic methods);
Traffic and Demand Modeling: Traffic Types, Modeling, Forecasting
Network Topology Design: Initial Planning, Extension Planning, Site Selection;
Network Dimensioning: Approaches for Circuit and Packet Switched Networks, Optimization Problems, Representative Heuristics;
Resilience Planning: Redundancy Concepts, Disjointness, Resource Sharing;
Generalizations: Multilayer Planning, Multiperiod Planning;
Access Networks Planning: Overview, Selected Problems;
Mobile Networks Planning: Overview;
Post-Planning Analysis: Network Simulation, Availability Analysis
In Practice: Network Planning Tools, Economics Aspects;
Additionally, students will practically model and solve planning problems with the student version of AMPL ("A Modeling Language for Mathematical Programming"), and potentially with network planning and simulation tools.
Related Optimization Fundamentals: Mathematical Formulation, Categories, Solution Methods (principles of exact and heuristic methods);
Traffic and Demand Modeling: Traffic Types, Modeling, Forecasting
Network Topology Design: Initial Planning, Extension Planning, Site Selection;
Network Dimensioning: Approaches for Circuit and Packet Switched Networks, Optimization Problems, Representative Heuristics;
Resilience Planning: Redundancy Concepts, Disjointness, Resource Sharing;
Generalizations: Multilayer Planning, Multiperiod Planning;
Access Networks Planning: Overview, Selected Problems;
Mobile Networks Planning: Overview;
Post-Planning Analysis: Network Simulation, Availability Analysis
In Practice: Network Planning Tools, Economics Aspects;
Additionally, students will practically model and solve planning problems with the student version of AMPL ("A Modeling Language for Mathematical Programming"), and potentially with network planning and simulation tools.
Inhaltliche Voraussetzungen
Basic Knowledge of Communication Networks
The knowledge of the following modules is strongly recommended for this course:
- Broadband Communication Networks
The knowledge of the following modules is strongly recommended for this course:
- Broadband Communication Networks
Lehr- und Lernmethoden
Learning method:
In addition to the individual methods of the students further knowledge is gained by own lab experiments and reading of books and articles.
Supportive programming:
• Used to exemplify modeling and solving in software
• Modeling: “A Modeling Language for Mathematical Programming (AMPL)” http://www.ampl.com
Web-Interface: http://ampl.com/try-ampl/try-ampl-online/
Book: http://www.ampl.com/BOOK/CHAPTERS/
• Solving: LPSOLVE
Teaching method:
During the lectures students are instructed in a teacher-centered style. The exercises are a mixture of question-based exercises and lab experiments. Interaction between students and teacher is steadily performed. The students are guided to solve problems independently using a computer based network planning tool.
In addition to the individual methods of the students further knowledge is gained by own lab experiments and reading of books and articles.
Supportive programming:
• Used to exemplify modeling and solving in software
• Modeling: “A Modeling Language for Mathematical Programming (AMPL)” http://www.ampl.com
Web-Interface: http://ampl.com/try-ampl/try-ampl-online/
Book: http://www.ampl.com/BOOK/CHAPTERS/
• Solving: LPSOLVE
Teaching method:
During the lectures students are instructed in a teacher-centered style. The exercises are a mixture of question-based exercises and lab experiments. Interaction between students and teacher is steadily performed. The students are guided to solve problems independently using a computer based network planning tool.