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.

Abstract


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.

Keywords


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

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v28.2.3476

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

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