Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7368
Title: Reconfigurable MIMO: Design and performance analysis
Authors: Kurtulmaz, Ekim
Bahçeci, İsrafil
Çetiner, Bedri A.
Keywords: MR antenna
precoding
antenna radiation pattern
channel estimation
Publisher: IEEE
Source: 22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
Series/Report no.: Signal Processing and Communications Applications Conference
Abstract: Reconfigurable multiple antenna systems (MR-MIMO) are MIMO systems that consist of smart antenna elements whose radiation pattern, frequency band and polarization properties can be changed. With an MR-MIMO antenna system, both element factor, F(phi, theta), and array factor, A(phi, theta)) of the antenna can be modified to achieve a desired antenna radiation pattern F(phi, theta) x A(phi, theta). In this paper, we investigate a pixel-antenna based MR-MIMO system that can create a finite number of different antenna radiation patterns, and design transmit and receive algorithms that can perform precoding and antenna mode selection at the same time. Since each mode of an MR-MIMO antenna may result in a different matrix channel realization, we also study channel estimation methods and look into to the impact of channel estimation overhead on the performance gains of MR-MIMO system. Methods that can jointly design antenna mod selection and precoder matrix is also introduced and their performance is analyzed via simulations. Results indicate that significant SNR gains can be achieved with MR-MIMO antennas compared to the traditional MIMO antennas.
URI: https://hdl.handle.net/20.500.11851/7368
ISBN: 978-1-4799-4874-1
ISSN: 2165-0608
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

WEB OF SCIENCETM
Citations

1
checked on Nov 2, 2024

Page view(s)

74
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.