Challenges of using MIMO channel technology in 5G wireless communication systems

Al-Mejibi, Intisar and Al-Majeed, Salah (2018) Challenges of using MIMO channel technology in 5G wireless communication systems. In: 2018 Majan International Conference (MIC), 19-20 March 2018, Muscat, Oman.

Full content URL: https://doi.org/10.1109/MINTC.2018.8472778

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive

Abstract

Multiple input multiple output (MIMO) systems, which are suitable for mmWave communications, facilitate building large arrays of communication channel with Reasonable form factors indoor and outdoor communications. In both, indoors and outdoors communications a reasonable coverage can be achieved by the high gains of array. Deploying MIMO systems in frequency-division duplex mode faces the issue of high feedback overhead of channel state information (CSI) to the transmitter. This issue is attributed to the used multiplexing algorithm. From other hand, it is expected that by 2020, all new 5G technologies will be in operation. Hence, it is crucial to investigate and analyze using the MIMO system with orthogonal frequency-division multiplexing OFDM modulation in 5G technology. This research sheds light on the potential challenges of implementing MIMO-OFDM in 5G technology. It proposed four models with different number of transmitter and receiver antenna elements in the array. All proposed model used 2 elements per row in transmitter and receiver antenna. The four models are implemented in two cases Line of sight LOS and Non Line of Sight NLOS. The channel rank and condition number of channel matrix are regarded as significant and accurate mathematical indicators which can be used to evaluation MIMO channel technology. The condition number is calculated from the obtained results of four models with rank of channel metrics.

Keywords:communications, wireless communication, 5G, MIMO, channel state information
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:46716
Deposited On:28 Sep 2021 11:27

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