Low-complexity SIC-MMSE for joint multiple-input multiple-output detection
- Authors: Kamaha Ngayahala F.C.1, Ahmed S.2, Saqib Bhatti D.M.2, Saeed N.3, Kaimkhani N.A.4, Rasheed M.2
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Affiliations:
- Electronics and Information Engineering Chonbuk University, Republic of Korea
- Computer and Telecommunication Engineering Dawood University of Engineering and Technology, Islamic Republic of Pakistan
- Department of Computer Science Iqra National University, Islamic Republic of Pakistan
- Electrical Engineering Bahria University of Engineering and Technology, Islamic Republic of Pakistan
- Issue: Vol 62, No 11 (2017)
- Pages: 1248-1254
- Section: Theory and Methods of Signal Processing
- URL: https://journals.rcsi.science/1064-2269/article/view/198946
- DOI: https://doi.org/10.1134/S1064226917110146
- ID: 198946
Cite item
Abstract
Iterative detection and decoding based on a soft interference cancellation–minimum mean squared error (SIC-MMSE) scheme provides efficient performance for coded MIMO systems. The critical computational burden for a SIC-MMSE detector in a MIMO system lies in the multiple inverse operations of the complex matrix. In this paper, we present a new method to reduce the complexity of the SIC-MMSE scheme based on a MIMO detection scheme that uses a single universal matrix with a non-layer-dependent inversion process. We apply the Taylor series expansion approach and derive a simple non-layer-dependent inverse matrix. The simulation results reveal that the utilization of the universal matrices presented in this paper produces almost the same performance as the conventional SIC-MMSE scheme but with low computational complexity.
About the authors
F. C. Kamaha Ngayahala
Electronics and Information Engineering Chonbuk University, Republic of Korea
Email: saqibbhatti@ieee.org
Korea, Republic of, Jeonju, 54896
S. Ahmed
Computer and Telecommunication Engineering Dawood University of Engineering and Technology, Islamic Republic of Pakistan
Email: saqibbhatti@ieee.org
Pakistan, Karachi, 74800
D. M. Saqib Bhatti
Computer and Telecommunication Engineering Dawood University of Engineering and Technology, Islamic Republic of Pakistan
Author for correspondence.
Email: saqibbhatti@ieee.org
Pakistan, Karachi, 74800
N. Saeed
Department of Computer Science Iqra National University, Islamic Republic of Pakistan
Email: saqibbhatti@ieee.org
Pakistan, Peshavar
N. A. Kaimkhani
Electrical Engineering Bahria University of Engineering and Technology, Islamic Republic of Pakistan
Email: saqibbhatti@ieee.org
Pakistan, Karachi
M. Rasheed
Computer and Telecommunication Engineering Dawood University of Engineering and Technology, Islamic Republic of Pakistan
Email: saqibbhatti@ieee.org
Pakistan, Karachi, 74800