A two-phase genetic K-means algorithm for placement of radioports in cellular networks

被引:11
作者
Abolhassani, B [1 ]
Salt, JE [1 ]
Dodds, DE [1 ]
机构
[1] Univ Saskatchewan, Dept Elect Engn, Saskatoon, SK S7N 5A9, Canada
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2004年 / 34卷 / 01期
基金
加拿大自然科学与工程研究理事会;
关键词
cellular network; clustering; genetic; hybrid; K-means; optimal radioport placement; simplex;
D O I
10.1109/TSMCB.2003.817073
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:533 / 538
页数:6
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