Title :
An ANTS algorithm for the minimum-span frequency-assignment problem with multiple interference
Author :
Montemanni, Roberto ; Smith, Derek H. ; Allen, Stuart M.
Author_Institution :
Div. of Math., Univ. of Glamorgan, Mid Glamorgan, UK
fDate :
9/1/2002 12:00:00 AM
Abstract :
The frequency-assignment problem is concerned with the assignment of discrete channels to the transmitters of a radio network. Separation of the frequencies assigned to transmitters is necessary to avoid interference. However, unnecessary separation causes an excess requirement for spectrum, the cost of which may be very high. The aim of the work is to minimize the frequency spectrum required for a given level of reception quality over the network. In contrast to the majority of the work presented in the literature, the model chosen to formalize the problem takes multiple interference into consideration. This should provide a better approximation of reality. The method proposed to solve this problem is an approximate nondeterministic tree search (ANTS) algorithm, which is a metaheuristic algorithm based on a computational paradigm inspired by the way real ant colonies function.
Keywords :
approximation theory; deterministic algorithms; frequency allocation; minimisation; radio networks; radiofrequency interference; ANTS algorithm; ant colonies; approximate nondeterministic tree search algorithm; computational paradigm; discrete channels; frequency spectrum minimization; metaheuristic algorithm; minimum-span frequency-assignment; multiple interference; radio network; transmitters; Bandwidth; Communication networks; Costs; Electromagnetic spectrum; Frequency conversion; Helium; Radio network; Radio transmitters; Radiofrequency interference; Signal design;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2002.800634