• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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A base station placement optimization algorithm
based on improved tabu search

CHEN Shi-jun1,WANG Hui-qiang2,CHEN Da-wei1,LIU Xiu-bing2,HU Hai-jing2   

  1. (1.Wireless Advanced Research Department,ZTE Corporation,Shenzhen  518055;
    2.College of Computer Science and Technology,Harbin Engineering University,Harbin 150001,China)
     
  • Received:2017-07-10 Revised:2017-09-11 Online:2018-02-25 Published:2018-02-25

Abstract:

Due to the non-line-of-sight characteristics in the indoor positioning scene, base station placement has an important influence on the positioning accuracy of the cellular network. However, at present, the placement of the base station is only concerned with the capacity, coverage and signal quality, and ignores the impact on indoor positioning accuracy. We propose an improved tabu search algorithm (ITSA) by improving the cost function, neighborhood generation rules and deregulation rules. Simulations in the same indoor scene show that the proposed algorithm can better improve the overall error of the locating area than the RFID reader deployment optimization algorithm.
 

Key words: cellular network, indoor positioning, base station placement optimization, tabu search, cost function