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Author Afana, A. ♦ Atawi, I. ♦ Ikki, S. ♦ Mesleh, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Estimation error ♦ Transmitting antennas ♦ Channel estimation ♦ Modulation ♦ Receiving antennas ♦ MIMO
Abstract Quadrature spatial modulation (QSM) in cognitive radio (CR) is a new spectral and energy efficient multiple-input multiple-output (MIMO) transmission paradigm. In QSM, the spatial constellation diagram of conventional spatial modulation (SM) system is extended to include both in-phase and quadrature components of the data symbol. As such, QSM combined with CR techniques achieve significant improvement in the overall spectral efficiency while inherent advantages of SM are retained. In this paper, we study the performance of QSM-MIMO-CR systems in the presence of channel estimation errors (CEEs) and limited feedback. A closed-form expression for the average pairwise error probability (PEP) of CR system is derived and used to calculate a tight upper bound of the average bit error rate (ABER) over Rayleigh fading. In addition, a simple asymptotic expression is derived and analyzed. Simulation results, which corroborate the numerical ones, show the importance of QSM in improving the overall secondary performance and its robustness to CEEs with reduced signal power.
Description Author affiliation: Dept. of Electr. Eng., Lakehead Univ., Lakehead, ON, Canada (Afana, A.; Atawi, I.; Ikki, S.; Mesleh, R.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-10-04
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467365550
Size (in Bytes) 311.85 kB
Page Count 5
Starting Page 1
Ending Page 5


Source: IEEE Xplore Digital Library