Genetic algorithm-based power allocation for multiuser mimo-ofdm femtocell networks with ZF beamforming

Wei Chen Pao, Yung Feng Lu, Chen Yu Shih, Yung Fang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, a power allocation algorithm is proposed for multiuser MIMO-OFDM femtocell networks on downlink, where an objective considers the maximization of the SINR of a macro user that is near the femto base station. Since the macro and the femto base stations share the same spectrum, there is a co-channel interference problem. We propose a power allocation method based on genetic algorithms to enhance the SINR of the macro user. In addition, we also utilize the zero-forcing beamforming design to alleviate the co-channel interference. The simulation results show that the proposed genetic algorithm-based power allocation method with zero-forcing beamforming reveals the best performance, and outperforms the method with equal power allocation.

Original languageEnglish
Title of host publication2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
DOIs
StatePublished - 2013
Event2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013 - Las Vegas, NV, United States
Duration: 2 Sep 20135 Sep 2013

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period2/09/135/09/13

Keywords

  • Femto
  • Genetic algorithm
  • Multiple input multiple output (MIMO)
  • Orthogonal frequency division multiplexing (OFDM)
  • Power allocation
  • Zero-forcing beamforming

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