naa a22 4500 510791336 CHVBK 20180411083320.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11277-012-0807-z doi (NATIONALLICENCE)springer-10.1007/s11277-012-0807-z Pilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO-OFDM Systems [Elektronische Daten] [Muhammet Seyman, Necmi Taşpınar] 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. Springer Science+Business Media, LLC., 2012 MIMO-OFDM nationallicence Channel estimation nationallicence ABC algorithm nationallicence LS algorithm nationallicence Seyman Muhammet Department of Electronic Communication, Kirikkale University, 71450, Kirikkale, Turkey aut Taşpınar Necmi Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/1(2013-07-01), 151-163 0929-6212 71:1<151 2013 71 11277 https://doi.org/10.1007/s11277-012-0807-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0807-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Seyman Muhammet Department of Electronic Communication, Kirikkale University, 71450, Kirikkale, Turkey aut NATIONALLICENCE 700 1- Taşpınar Necmi Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/1(2013-07-01), 151-163 0929-6212 71:1<151 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer