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Capacity Analysis of Multiple Antenna Wireless System under Different Array and Channel Configurations


Affiliations
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, P.M.B. 02, Uli, Nigeria
 

This paper has presented capacity analysis of multiple antenna wireless system under different array and channel configurations. In this study, the dimension of conventional multiple input multiple output (MIMO) system was extended to large scale MIMO. The capacity of MIMO system was considered over spatially correlated Rayleigh channel. The parameters of interests used for the system analysis are the channel capacity (measured in terms of data transfer rate) in bit per second/ hertz (bps/Hz), signal to noise ratio (SNR) in dB, spacing between the antennas, and the number of antenna elements. A MATLAB model was developed for the system for the purpose of simulation analysis to examine channel capacity performances under different antenna arrangement and channel configurations. Simulation results revealed that the capacity of the system increases as the number of antennas at both transmit and receive ends increases. Generally, the uncorrelated channel provided better capacity than correlated channel in all cases. However, the capacity of the correlated channel offers more practical results than uncorrelated channel.

Keywords

Antenna, Capacity, Correlated channel, MIMO, Wireless system.
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  • Naser, M. A., Salman, M. I., and Alsabah, M. (2021). The role of correlation in the performance of massive MIMO systems. Applied System Innovation, 4(54), 1- 19.

  • Shiney, J. R. J., Indumathi, G., and Asis, A. A. C. (2020). Efficient antenna selection strategy for a massive MIMO downlink system. Progress in Electromagnetics Research M, 26, 203 – 211.

  • Wang. H., Ge, X., Zi, R., Zhang, J., and Ni, Q. (2015). Multimedia over Massive MIMO Wireless Systems. IEEE, 1 – 6.

  • Fakunle, M. M., Adedeji, K. B., and Olasoji, Y. O. (2021). Improving BER performance of massive MIMO scheme over Rayleigh fading channel.European Journal of Electrical Engineering and Computer Science, 5(6), 58 – 63.

  • Kumar, M., Sinha, S. P. and Gupta, J. (2015). MIMO system for a 5G wireless communication networks: a key to gigabit wireless system. International Journal of Innovative Science, Engineering & Technology, 2(5), 258 – 263.

  • Kusuma, M., Amgothu, M., and Amgothu, B. (2011). Capacity analysis of MIMO systems (using water filling algorithm). International Conference on Advanced Computing, Communication and networks, 2011, 490-496.

  • Omer, D. S., Hussein, M. A., and Mina, L. M. (2020). Ergodic capacity for evaluation of mobile system performance. Journal of Engineering, vol. 26, No.10, pp. 135 – 148.

  • Yazen, S. and Ghassan, A. (2019). Capacity analysis of multiple-input-multiple-output system over Rayleigh and Rician fading channel. Cihan University-Erbil Science Journal, vol. 3, No. 2, pp. 70–74.

  • Pottkotter, A. (2015). Maximizing Channel Capacity based on Antenna and MIMO Channel Characteristics and its Application to Multimedia Data Transmission. Master Thesis, University of Toledo

  • RAYMAP (2019). Massive MIMO and antenna correlation. [Online]. https://www.raymaps.com/index.php/massive-mimoand- antenna-correlation

  • Chen, Z., Yu, S., Wang, T., Wu, G., Wang, S., and Gu, W. (2012). Channel correlation in aperyure receiver diversity systems fo free-space communication. Journal of Optics, 14, 1 – 7


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  • Capacity Analysis of Multiple Antenna Wireless System under Different Array and Channel Configurations

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Authors

Achebe P. N.
Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, P.M.B. 02, Uli, Nigeria
Muoghalu C. N.
Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, P.M.B. 02, Uli, Nigeria

Abstract


This paper has presented capacity analysis of multiple antenna wireless system under different array and channel configurations. In this study, the dimension of conventional multiple input multiple output (MIMO) system was extended to large scale MIMO. The capacity of MIMO system was considered over spatially correlated Rayleigh channel. The parameters of interests used for the system analysis are the channel capacity (measured in terms of data transfer rate) in bit per second/ hertz (bps/Hz), signal to noise ratio (SNR) in dB, spacing between the antennas, and the number of antenna elements. A MATLAB model was developed for the system for the purpose of simulation analysis to examine channel capacity performances under different antenna arrangement and channel configurations. Simulation results revealed that the capacity of the system increases as the number of antennas at both transmit and receive ends increases. Generally, the uncorrelated channel provided better capacity than correlated channel in all cases. However, the capacity of the correlated channel offers more practical results than uncorrelated channel.

Keywords


Antenna, Capacity, Correlated channel, MIMO, Wireless system.

References