北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2007, Vol. 30 ›› Issue (4): 45-49.doi: 10.13190/jbupt.200704.45.huangjf

• 论文 • 上一篇    下一篇

切换统计相关用于位置区优化

黄剑锋,徐惠民   

  1. (北京邮电大学 电信工程学院, 北京 100876)
  • 收稿日期:2006-10-09 修回日期:2006-12-22 出版日期:2007-08-30 发布日期:2007-08-30
  • 通讯作者: 黄剑锋

Handover Statistics Correlation Used in Area Optimization

HUANG Jian-feng,XU Hui-min   

  1. (School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China)
  • Received:2006-10-09 Revised:2006-12-22 Online:2007-08-30 Published:2007-08-30
  • Contact: HUANG Jian-feng

摘要:

针对在位置区规划或优化算法过程中,应用传统的随机概率搜索算法进行最优解的搜索收敛方向难于确定、收敛速度极其缓慢,应用启发式构造算法能及时收敛但不能有效地收敛于全局最优解的问题,提出了位置区元的新概念以及位置区元相关会聚算法. 实验结果表明,该算法能实现对位置区规划或优化解空间进行充分高效的压缩,进而保证在此基础上的随机概率搜索算法能及时有效地逼近全局最优解.

关键词: 位置区规划, 位置区元, 相关会聚, 切换统计相关

Abstract:

Traditional search algorithm has defections such as the convergence direction is hard to decide and the convergence speed is very slow when using a stochastic probability search algorithm. Also the global optimal solution is hard to approach when using a heuristic structured algorithm, though it could converge in time. A new concept of location area element (LAE) and its corresponding LAE correlated aggregation algorithms were proposed. The experimental results indicate that the new algorithm could compress the solution space of location area planning or optimizing efficiently, thus ensuring the convergence direction to the global optimum and speeding up the convergence process when searching the optimal solution in the compressed solution space.

Key words: location area planning, location area element, correlated aggregation, handover statistics correlation

中图分类号: