Telecommunications Science ›› 2015, Vol. 31 ›› Issue (9): 137-142.doi: 10.11959/j.issn.1000-0801.2015214

• Research and development • Previous Articles     Next Articles

An Interference Links Selection Method Based on Genetic Algorithm

Juan Meng,Li Hong,Yanan Li,Zhiming Han,Lili Guo   

  1. Department of Disaster Prevention Instrument, Institute of Disaster Prevention, Sanhe 065201, China
  • Online:2015-09-15 Published:2015-10-19
  • Supported by:
    The Science for Earthquake Resilience of China Earthquake Administration;Teachers' Scientific Research Fund of China Earthquake Administration

Abstract:

Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output (MIMO)networks, an interference links selection scheme was proposed based on genetic algorithm. By exploiting the heterogeneous path loses, the design problem of transceiver precoding matrices was formulated into a mixed integer bi-level optimal program. Then this problem was solved based on genetic algorithm to achieve the optimal system throughput. The simulation results show that, in a 19 hexagonal wrap-around-cell layout, the algorithm proposed outperforms a standard multi-user MIMO technique with far less transmit antennas. The present scheme is therefore of great promise to practical applications.

Key words: wireless communication, multi-input multi-output, interference alignment, genetic algorithm

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