Researcher: Kurt, Mehmet Akif
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Kurt, Mehmet Akif
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Publication Metadata only Spatial modulation using signal space diversity(Institute of Electrical and Electronics Engineers Inc., 2023) Department of Electrical and Electronics Engineering; Başar, Ertuğrul; Doğukan, Ali Tuğberk; Kurt, Mehmet Akif; Faculty Member; PhD Student; Master Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; Graduate School of Sciences and Engineering; 149116; N/A; N/AIn this letter, a novel scheme, called spatial modulation (SM) using signal space diversity (SM-SSD), is proposed for future multiple-input multiple-output (MIMO) systems. In this scheme, consecutive time slots are modulated jointly, and the technique of signal and space diversity (SSD) is applied to spread the real and imaginary parts of data symbols over the time domain. In addition, novel active antenna activation pattern and time activation pattern selection algorithms are introduced. An upper bound expression for bit error rate (BER) is obtained and a diversity analysis is performed. Besides, a suboptimal solution for the optimization of rotation angles is put forward to maximize the minimum coding gain distance (MCGD). Monte Carlo simulations are performed to compare the BER performance of SM-SSD with the benchmark schemes, in the presence of both correlated and uncorrelated channels. Lastly, the change in the spectral efficiency is analyzed for different numbers of time slots and transmit antennas. © 1997-2012 IEEE.Publication Metadata only Transmit antenna grouping quadrature spatial modulation for MIMO systems(Ieee, 2021) N/A; N/A; Department of Electrical and Electronics Engineering; Kurt, Mehmet Akif; Başar, Ertuğrul; Master Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 149116With quadrature spatial modulation (QSM), an innovative and effective signaling technique for multiple-input multiple-output (MIMO) systems, index modulation is performed by activating one or two antennas at each time interval. However, for large-scale MIMO systems, it has been observed that QSM is limited in providing high spectral efficiency, which is a requirement of next generation communication systems. In order to increase spectral efficiency, a transmit antenna grouping quadrature spatial modulation (TAG-QSM) system model, which aims to increase the number of bits transmitted by antenna indexing, is proposed in this study. In the proposed system, transmitting antennas are divided into groups such that there are equal number of antennas in each group, and a certain number of antenna groups are determined separately for the real and virtual parts of the transmitted symbol. Then, separate antenna indices are determined for the transmission of the real and imaginary parts of the signal from the specified groups. After the TAG-QSM system model is introduced, the average bit error probability (ABEP) analysis of the system has been made. In addition, it has been shown by Monte Carlo simulations that the TAG-QSM system model achieves better error performance than parallel QSM (PQSM) and classical QSM systems in the literature for the same spectral efficiency with the same number of transmitter and receiver antennas.Publication Open Access Flexible spatial modulation with transmit antenna selection for MIMO systems(Institute of Electrical and Electronics Engineers (IEEE), 2022) Department of Electrical and Electronics Engineering; Başar, Ertuğrul; Kurt, Mehmet Akif; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 149116; N/AThis article introduces flexible spatial modulation with transmit antenna selection (FSM-TAS) for future multiple-input multiple-output systems. In this scheme, the number of active antennas varies in each time interval depending on the incoming bits. After determining the number of active antennas, channel coefficients corresponding to each possible active antenna combination are added up. Then, a certain number of antenna combinations with largest gains is selected to apply spatial modulation (SM). For the proposed system, complexity and outage probability analyses are performed. In addition, it has been shown by Monte Carlo simulations that FSM-TAS provides better bit error rate performance than the benchmark enhanced SM with generalized antenna selection under the same spectral efficiency and the same number of transmitter and receiver antennas.