Title :
A two-phase genetic K-means algorithm for placement of radioports in cellular networks
Author :
Abolhassani, Bahman ; Salt, J. Eric ; Dodds, David E.
Author_Institution :
Dept. of Electr. Eng., Univ. of Saskatchewan, Saskatoon, Sask., Canada
Abstract :
This paper proposes a two-phase hybrid algorithm for optimal placement of radioports. The placement strategy minimizes the dynamic range of the channel, and thus reduces the peak transmit power needed by a wireless handset. The performance of the proposed algorithm is compared with that of an exhaustive search, as well as with that of a simplex algorithm. Simulation results show that the two-phase hybrid algorithm, although suboptimal, outperforms the simplex algorithm with only a modest increase in computation time. It has the added advantage of being quite insensitive to the seed solution.
Keywords :
cellular radio; genetic algorithms; indoor radio; cellular network; optimal radioport placement; peak transmit power; simplex algorithm; two-phase genetic k-means algorithm; two-phase hybrid algorithm; wireless handset; Batteries; Clustering algorithms; Computational modeling; Cost function; Dynamic range; Genetics; Hopfield neural networks; Intelligent networks; Land mobile radio cellular systems; Telephone sets;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.817073