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Signal to Noise Ratio Improvement In Massive MIMO Uplink System Based On Receive Antenna Selection
Subject area: Science,Engineering and Technology · Area of research: Communication Engineering
Abstract
There is no doubt that in wireless communication, performance and capacity of the system has been improved in the past few decades as a result of advances in technology in this area. However, meeting up with stringent demands of future wireless networks requires the development of techniques that will solve the anticipated rise in data traffic of diverse mobile networks to ensure effective transmission capacity. Some approaches have been presented by researchers to improve transmission capacity. One of such methods is by increasing spectral efficiency or employing more bandwidth, but this approach has become less attractive because spectrum is constrained being a natural resources, which must be shared by multiple communication services.
References
[1] Alshammari, A. (2017). Optimal capacity and energy efficiency of massive MIMO systems [Doctoral dissertation, University of Denver]. Electronic Theses and Dissertation. https://digitalcommons.du.edu/etd/1377
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[3] Borges, D., Montezuma, P., Dinis, R., & Beko, M. (2021). Massive MIMO techniques for 5G and beyond – opportunities and challenges. Electronics, 10(1667), 1 – 29. https://doi.org/10.3390/electronics10141667
[4] Ngo, H.Q. (2019). Massive MIMO Fundamentals. Wiley 5G Ref, John Wiley & Sons: Hoboken, NJ, USA.
[5] Wu, Y., Chang, C., Xie, F., Ju, D., & Pan, Y. (2021). Sum rate analysis for massive MIMO downlink with MRC beamforming and user selection. Journal of Physics: Conference Series, 2113(2021), 1 – 9. https://doi.org/10.1088/1742-6596/2113/1/012025
[6] Hendre, V., Murugan, M., & Kamthe, S. (2015). Performance analysis of transmit antenna selection with MRC in MIMO for image transmission in multipath fading channels using Simulink. International Journal of Electrical and Computer Engineering, 5(1), 119 – 128.
[7] Judal, H. L., & Maradia, K. G. (2019). Capacity analysis and linear detection in massive MIMO for 5G wireless systems. International Journal of Innovation Technology and Exploring Engineering, 8(9), 2938 – 2943. https://doi.org/10.35940/ijitee.I8936.078919
How to cite this paper
@article{1703508,
author = {Okoye Anulika Joy, C. B. Mbachu, C. A. Nwabueze},
title = {Signal to Noise Ratio Improvement In Massive MIMO Uplink System Based On Receive Antenna Selection},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {12},
pages = {57-64},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703508.pdf},
abstract = {There is no doubt that in wireless communication, performance and capacity of the system has been improved in the past few decades as a result of advances in technology in this area. However, meeting up with stringent demands of future wireless networks requires the development of techniques that will solve the anticipated rise in data traffic of diverse mobile networks to ensure effective transmission capacity. Some approaches have been presented by researchers to improve transmission capacity. One of such methods is by increasing spectral efficiency or employing more bandwidth, but this approach has become less attractive because spectrum is constrained being a natural resources, which must be shared by multiple communication services.},
month = {June},
}