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  • Broschiertes Buch

The frequency assignment problem involves the assignment of discrete channels to the transmitters of a radio network. Frequency separation is necessary to avoid interference by other transmitters to the signal received from the wanted transmitter at the reception points. Unnecessary separation causes an excess requirement for spectrum. Good assignments minimise interference and the spectrum required. Some different variations of the problem are reviewed in this book. We mainly consider the "Fixed Spectrum Problem", where there is a fixed available spectrum of frequencies and the aim is to…mehr

Produktbeschreibung
The frequency assignment problem involves the assignment of discrete channels to the transmitters of a radio network. Frequency separation is necessary to avoid interference by other transmitters to the signal received from the wanted transmitter at the reception points. Unnecessary separation causes an excess requirement for spectrum. Good assignments minimise interference and the spectrum required. Some different variations of the problem are reviewed in this book. We mainly consider the "Fixed Spectrum Problem", where there is a fixed available spectrum of frequencies and the aim is to minimise interference. For this problem we analise the "Binary Constraints Model", where only interference from a single transmitter at a time is considered, and the more realistic "Multiple Interference Model", where interferences from more than one transmitter are considered at the same moment. In particular, we analyse some Integer Programming formulation for the binary constraints model to understand whether they can be suitable for developing lower bounds. Some new algorithms for the multiple interference model are finally discussed.
Autorenporträt
Roberto Montemanni. Laurea degree in Computer Science from the Università di Bologna, Italy (1999); PhD in Applied Mathematics from the University of Glamorgan, United Kingdom (2002). Senior Researcher at Istituto Dalle Molle di Studi sull¿Intelligenza Artificiale (IDSIA), Lugano, Switzerland. Lecturer at SUPSI and USI, Lugano, Switzerland.