›› 2012, Vol. ›› Issue (03): 776-781.

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Intelligent optimization techniques for femtocell pilot power in next-generation cellular network

ZHU Si-feng1, LIU Fang2, CHAI Zheng-yi2, QI Yu-tao2   

  1. 1. Department of Mathematics & Information Science, Zhoukou Normal University, Zhoukou 466001, China;
    2. School of Computer Science & Technology, Xidian University, Xi'an 710071, China
  • Received:2010-11-05 Online:2012-05-01

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Abstract: To solve the femtocell pilot power allocation problem in next-generation cellular network, a novel optimization solution for femtocell pilot power based on immune memory clone algorithm is propose. The mathematical model of the femtocell pilot power allocation problem is established. The framework of the immune memory clone algorithm is given. Simulation experiments results show that, based on the network topology and communication flow distribution, the proposed optimization solution can effectively optimize femtocell pilot power allocation and femtocell radius, and it can be applied to solve real engineering problems.

Key words: communication, next-generation cellular network, femtocell, pilot power optimization, immune optimization algorithm

CLC Number: 

  • TN913
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