Achievable Capacity with Spatial Channel Correlation in Massive MIMO Multi-Cell Systems
Prasad Rayi1, Makkapati Venkata Siva Prasad2

1Mr. Prasad Rayi*, Associate Professor, Department of Electronics and Communication Engineering, International School of Technology and Sciences (for Owmen) Rajamahendravaram, India.
2Dr. M. V. S. Prasad, Professor, Department of ECE of R.V.R & J.C. College of Engineering, Guntur (Andhra Pradesh), India.
Manuscript received on January 13, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 15-20 | Volume-9 Issue-4, February 2020. | Retrieval Number: B6375129219/2020©BEIESP | DOI: 10.35940/ijitee.B6375.029420
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Abstract: Massive Multi-Input and Multi-Output (MIMO) antenna system provides unlimited capacity by the spatial multiplexing and array gain. Since the data rate has been limited by the coherence interference due to pilot contamination (PC). In this paper, we propose transmit combine and precoding schemes to achieve asymptotic capacity in multi-cell scenario, when the number of base station antennas tends to infinity. The impact of spatial channel correlation on channel capacity is explored by considering the co-variance matrices of the user –terminals (UT)s .To do this, we presented linear processing schemes such as MMSE,MRC, and ZF. Where MMSE achieves high capacity in the presence of large-scale fading and PC. Since the diagonals of the channel covariance matrices were designed with non- zero Eigen values and linearly independent. The results outperform and obtain asymptotic limit, when the co-variance of UTs are linearly independent. The results were simulated by using MATLAB 2018b. 
Keywords: Channel Capacity, Spatial Channel Correlation, Multi Input and Multi Output, Multi-Cell.
Scope of the Article: System Integration