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On Coverage Optimization in Single Frequency Network for Digital Broadcasting
KTH, Superseded Departments, Signals, Sensors and Systems.
1995 (English)Conference paper, Published paper (Refereed)
Abstract [en]

By the emerging digital sound broadcasting (DAB) the network operators have to solve a new type of planning problems. In contrast with traditional (FM) broadcasting, where the main issue of network planning is the frequency assignment, designers of Single Frequency Networks can manipulate mainly with the transmitters' location, power and antenna height. The planning process includes optimization problems of very high complexity. This paper investigates the applicability of stochastic optimization methods, particularly of Simulated Annealing, to the SFN design. In order to create a finite discrete problem, the area to be covered is described by a set of selected testpoints considering the population, roads, etc. Our concept for constructing objective functions allows for including economic considerations into the optimization process. This method ensures that - beside satisfying the coverage constraints - the algorithm searches for solutions that minimize installation/provisioning costs. A few numerical examples are presented in the paper demonstrating that simulated annealing can result in high quality solutions for SFN in feasible time. With integrating cost factors into the objective function, cost-minimized solutions can also be achieved. Some interesting phenomena concerning the usage of stochastic optimization are also concluded in the paper.

Place, publisher, year, edition, pages
1995.
National Category
Computer and Information Science
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-28572OAI: oai:DiVA.org:kth-28572DiVA: diva2:388008
Conference
Nordic Radio Symposium
Note
QC 20110117Available from: 2011-01-16 Created: 2011-01-16 Last updated: 2011-01-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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Language
  • de-DE
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Output format
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