Analysis of Massive Multiple Antenna System Capacity based on Channel State Information Performance

Muoghalu C. N., Ekengwu B. O., Asiegbu N. C., Udechikwu F. C., Olisa S. C.


This paper has simulated channel capacity with respect to information transmitted without and with channel state information (CSI) in multiuser massive multiple input multiple output (MU massive MIMO) for downlink wireless communication. The objective was to examine the effect of CSI at the transmitter on the channel capacity. Simulations were conducted considering different base station antenna configurations transmitting signals to multiple users’ terminals over Rayleigh channels at signal to noise ratio (SNR) of 0 to 25. Two scenarios were considered namely, channel capacity of uninformed transmitter (that is without channel state in information known at the transmitter) and channel capacity of informed transmitter (with channel state information known at the transmitter). Power allocation among the transmit antennas was done using the water filling algorithm. The results of the simulations conducted revealed that the capacity of the system was improved when the transmitter was aware of the CSI. Also, increased number of receive antennas (UEs) was observed to compensate for lack in channel knowledge.  Furthermore, increasing the number of base station antennas resulted in more channel capacity.


Base station, channel capacity, channel state information, MU massive MIMO, Water filling algorithm

Full Text:



Mohammad, A.B.M. (2015). Performance analysis of maximum ratio transmission and zero forcing precoding techniques for downlink massive multiple input multiple output system. Master Dissertation, University of Gezira.

Ngo, H.Q., Larsson, E.G., Marzetta, T.L. (2013). Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Transactions on Communication, 61(4), 1436-1449.

Rusek, F., Persson, D., Lau, B.K., Larsson, E., Marzetta, T., Edfors, O., and Tufvesson, F. (2013). Scaling up MIMO: Opportunities and challenges with large arrays. IEEE Signal Processing Magazine, 30(1), 40-60.

Hassan, N., and Fernando, X. (2017). Massive MIMO wireless networks: An overview. MDPI Journal, Electronics, 6(63), 1-29.

Gupta, A., and Jha, R.K. (2015). A survey of 5G Network: Architect and emerging technologies. IEEE Acess, 3, 1206-1232.

Singh, J., and Kedia, D. (2019). Performance of ZF and CB precoding techniques for large-scale MU-MIMO system. International Journal of Recent Technology and Engineering, 8(2), 5529-5536.

Telatar, I.E. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunication, 10, 585-595.

Saad, A. Ismail, M., and Misran, N. (2008). Capacity of MIMO channels at different antenna configuration. Journal of Applied Sciences, 8(24), 4595-4602.

Cho, Y.S., Kim, J., Yang, W.Y., and Kang, C-G. (2010). MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons (Asia) Pte Ltd.

Paulraj, A., Nabar, R., and Gore, D. (2003). Introduction to space-time wireless communications (1st ed.). Cambridge University Press: Cambridge, UK



  • There are currently no refbacks.

Copyright (c) 2021 Muoghalu C. N., Ekengwu B. O., Asiegbu N. C., Udechikwu F. C., Olisa S. C.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.