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Pilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO–OFDM Systems

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Abstract

How to design the pilot tones that are used in channel estimation has a significant effect on the estimation performance. To achieve good performance in least square (LS) algorithm, we propose the artificial bee colony (ABC) algorithm for optimizing the placement of pilot tones in MIMO–OFDM systems. We also derive the upper bound of mean square error of LS estimation with the help of Gerschgorin disc theorem for fitness function of ABC algorithm. The results show that designing pilot tones using the ABC algorithm outperforms other considered placement strategies in terms of high system performance and low computational complexity.

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Authors and Affiliations

  1. Department of Electronic Communication, Kirikkale University, 71450, Kirikkale, Turkey

    Muhammet Nuri Seyman

  2. Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey

    Necmi Taşpınar

Authors
  1. Muhammet Nuri Seyman
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  2. Necmi Taşpınar
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Correspondence to Muhammet Nuri Seyman.

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Seyman, M.N., Taşpınar, N. Pilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO–OFDM Systems. Wireless Pers Commun 71, 151–163 (2013). https://doi.org/10.1007/s11277-012-0807-z

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  • DOI: https://doi.org/10.1007/s11277-012-0807-z

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