Performance Analysis of Massive MIMO system for 2D/3D Channel Models in 4G/5G Networks
Poongodi C1, Deepa D2
1Poongodi C, Department of Electronic & Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
2Deepa D, Department of Electronic & Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 90-93 | Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10261282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Channel capacity, data rate and spectral efficiency are the most important demanding factors in wireless communications. Massive MIMO (Multiple Input Multiple Output) can improve these factors in the next generation 5G wireless communication networks. In massive MIMO, terminals are equipped with array of antennas for the same time frequency slot to assist multiple users with fast data rates and reliable performance. The performance of massive MIMO system with mutual coupling for realistic channel models is analyzed using Monte-Carlo simulations for different antenna configuration. The Geometry Based Stochastic Models (GBSMs) and Correlation Based Stochastic Models (CBSMs) and are used for the theoretical and realistic channel model analysis. In this paper, channel capacity is analyzed for the different antenna configurations in considering with CBSM and GBSM channel models. It is inferred that the 2D array configurations performed well as compared to 1D antenna array. This is possibly due to very low mutual coupling of 2D array configurations.
Keywords: Massive MIMO; CBSM Model, GBSM Model, Channel Capacity, Mutual Coupling.
Scope of the Article: Ubiquitous Networks