Journals Books 2687-5527 doi.org/10.36287/setsci
Latest Issue Archive Future Issues About Us
Conference Proceedings

SETSCI - Volume 4 (6) (2019)
ISAS WINTER-2019 (ENS) - 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences, Samsun, Turkey, Nov 22, 2019

Investigation of Effect of Communication Bandwidth and Length of Coherence Block on Energy Efficiency and Area Throughput in Massive Multiple-Input and Multiple-Output Systems
Burak Kürşat Gül1, Necmi Taşpınar2*
1Erciyes University, Kayseri, Turkey
2Erciyes University, Kayseri, Turkey
* Corresponding author: taspinar@erciyes.edu.tr
Published Date: 2019-12-22   |   Page (s): 401-403   |    219     3
https://doi.org/10.36287/setsci.4.6.102

ABSTRACT The popularity of wireless communication is increasing day by day. This has led to the fact that data transfers via GSM have reached very high levels. Data transfers via GSM, which are continuously growing, increase the density of data traffic, thus necessitating high level of area throughput performance in the near future. One of the most effective ways to increase area throughput is seen as increasing spectral efficiency (SE). Very high amount of energy required to increase the spectral efficiency. High energy consumption is costly and harmful to the environment so thus makes it necessary to increase the energy efficiency (EE). Massive multiple-input and multiple-output (Massive MIMO) systems are one of the techniques that can be used to increase the both of area throughput and energy efficiency. In this study, length of coherence block – communication bandwidth combinations are investigated by using Massive MIMO systems in cases which there are various numbers of users and active antennas. As a result of the studies, the effects of length of coherence block and communication bandwidth on EE - area throughput tradeoffs were evaluated.
KEYWORDS Massive MIMO, Spectral Efficiency, Energy Efficiency, Area Throughput
REFERENCES [1] E. Björnson, J. Hoydis, and L. Sanguinetti, “Massive MIMO Networks: Spectral, Energy and Hardware Efficiency,” Foundation and Trends in Signal Processing, vol. 11, no. 3-4, pp. 154-655, 2017.
[2] Ericsson. (2017) Ericsson Mobility Report. https://www.ericsson.com/ assets/local/mobilityreport/documents/2017/ericsson-mobility-report-november-2017-middle-east-and-africa.pdf
[3] D. Aziz, K. Kusume, and O. Queseth. (2015) D8.4: Metis Final Project Report. https://metis2020.com/wp-content/uploads/deliverables/ METIS_D8.4_v1.pdf
[4] A. Fehske, G. Fettweis, J. Malmodin, and G. Biczok, “The Global Footprint of Mobile Communications: The Ecological and Economic Perspective,” IEEE Transactions on Wireless Communications, vol. 49, no. 8, pp. 55-62, 2011.
[5] Q. He, L. Xiao, X. Zhong, and S. Zhou, “Increasing the Sum-throughput of Cells with a Sectorization Method for Massive MIMO,” IEEE Communications Letters 18(10), 2346483, pp. 1827-1830, 2014.
[6] G. Yang, C. K. Ho, R. Zhang, and Y. L. Guan, “Throughput Optimization for Massive MIMO Systems Powered by Wireless Energy Transfer,” IEEE Journal on Selected Areas in Communications 33(8), 7009979, pp. 1640-1650, 2015.
[7] E. Björnson, E. G. Larsson, and M. Debbah, “Massive MIMO for Maximal Spectral Efficiency: How Many Users and Pilots Sholud Be Allocated?” IEEE Transactions on Wireless Communications, vol. 15, no. 2. pp. 1293-1308, 2015.
[8] L. Li, W. Meng, and S. Ju, “A novel artificial bee colony detection algorithm for massive MIMO system,” Wireless Communications and Mobile Computing, vol. 16. pp. 3139-3152, 2016.


SET Technology - Turkey

eISSN  : 2687-5527    
DOI : doi.org/10.36287/setsci

E-mail : info@set-science.com
+90 533 2245325

Tokat Technology Development Zone Gaziosmanpaşa University Taşlıçiftlik Campus, 60240 TOKAT-TURKEY
©2018 SET Technology