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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(1): 32-37 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1107

Evolution of Diversity Gain with and without Coding Gain in MIMO for Emerging Wireless Networks

Naveed Ali Kaimkhani, Zhe Chen, and Fuliang Yin
Abstract—The wireless networks are growing rapidly that cause constraint in data rate and power consumption. The multiple-input multiple-output (MIMO) has incredible performance to overcome the limitations by spatial multiplexing gain. Spatial multiplexing gain is achieved with the help of space time encoding technique in which a high rate signal splitting into multiple lower rate streams and transmitting them through the different antennas. This paper provides a comprehensive comparative study of diversity gain with and without coding gain for 4 × 2 and 4 × 4 MIMO systems. The coding gain is explored through turbo coding (TC) with ½ and ¾ coding rates, and diversity gain is adopted by orthogonal space time coding (OSTBC). Turbo coding is useful to reduce the forward error correction in multiplexed data transmissions. The compounding of OSTBC and turbo coding is valuables to increase data rate and reduce energy consumption by reducing bit error rate in emerging wireless network transmissions. Simulation results convinced the validity of proposed scheme.

Index Terms—Emerging wireless networks, OSTBC, turbo coding, diversity and coding gain, MIMO.

All authors are with the School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116023 P.R. China (e-mail: naveedali64@yahoo.fr, zhechen@dlut.edu.cn, flyin@dlut.edu.cn).


Cite:Naveed Ali Kaimkhani, Zhe Chen, and Fuliang Yin, "Evolution of Diversity Gain with and without Coding Gain in MIMO for Emerging Wireless Networks," International Journal of Computer Theory and Engineering vol. 9, no. 1, pp. 32-37, 2017.

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