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

Authors:
Muhammet Nuri Seyman;Necmi Taşpınar
Affiliations:
Department of Electronic Communication, Kirikkale University, Kirikkale, Turkey 71450;Department of Electrical and Electronic Engineering, Erciyes University, Kayseri, Turkey 38039
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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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.