DocumentCode
1607050
Title
A graph-theoretic decomposition technique for fixed channel assignment problems in cellular radio networks
Author
Ali, Syed Zahid
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1064
Abstract
In order to reduce the dimensionality and computational complexity of intractable fixed channel assignment (FCA) problems, a decomposition technique is presented. The decomposition of FCA problem is developed in terms of a directed graph-partitioning problem, and an efficient algorithm is applied to obtain an optimal partition. The solution of the proposed algorithm is aimed at generating a set of small-size, weakly-interconnected and easily tractable FCA subproblems. Depending on structure of multicut of the partition obtained, the FCA subproblems so developed then can be solved in parallel or sequentially by tailoring any known deterministic or approximate solution technique. The computational results obtained show that the algorithm can be used for a wide range of graph topologies. The application of the solution obtained from the use of the algorithm is reported elsewhere.
Keywords
approximation theory; cellular radio; computational complexity; directed graphs; radio networks; approximate solution; cellular radio networks; cochannel interference; computational complexity reduction; deterministic solution; directed graph-partitioning problem; efficient algorithm; fixed channel assignment; graph topology; graph-theoretic decomposition technique; multicut; optimal partition; parallel algorithms; small-size FCA subproblems; Base stations; Computational modeling; Heuristic algorithms; Intelligent networks; Interference; Land mobile radio cellular systems; Large-scale systems; Partitioning algorithms; Polynomials; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th
Print_ISBN
0-7803-7484-3
Type
conf
DOI
10.1109/VTC.2002.1002776
Filename
1002776
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