Gram-Schmidt Orthogonalisation-based Antenna Selection for Pre-Coding Aided Spatial Modulation

Authors

  • Saetbyeol Lee Department of EEC, Korea University of Technology and Education, Cheonan 330-708, Korea
  • Manar Mohaisen Department of EEC, Korea University of Technology and Education, Cheonan 330-708, Korea

Keywords:

Pre-Coding Aided Spatial Modulation, MIMO, Antenna Selection, Gram-Schmidt Orthogonalisation,

Abstract

In this paper, we introduce a computationally-efficient antenna selection algorithm for the pre-coding aided spatial modulation (PSM) that is applicable in both the under-determined and over-determined multiple-input multiple-output (MIMO) systems. The proposed algorithm is based on a modified Gram-Schmidt orthogonalisation, where the optimisation function is the sum of scalars that is computed successively. The proposed algorithm does not only select antennas one-by-one with low computations, but it can also remove one or two antennas per iteration, leading to further reduction in the computational complexity. Simulation results show that the proposed algorithm achieves the optimal diversity with tolerable degradation in the bit-error-rate.

Author Biographies

Saetbyeol Lee, Department of EEC, Korea University of Technology and Education, Cheonan 330-708, Korea

Graduate student

Manar Mohaisen, Department of EEC, Korea University of Technology and Education, Cheonan 330-708, Korea

Assistant professor, department of EEC Engineering, Korea Tech

References

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Published

2016-12-01

How to Cite

Lee, S., & Mohaisen, M. (2016). Gram-Schmidt Orthogonalisation-based Antenna Selection for Pre-Coding Aided Spatial Modulation. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(9), 83–88. Retrieved from https://jtec.utem.edu.my/jtec/article/view/917

Issue

Vol. 8 No. 9: September - December 2016

Section

Articles

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