JOURNAL ARTICLE

Achievable Capacity with Spatial Channel Correlation in Massive MIMO Multi-Cell Systems

Mr. Prasad RayiМ. В. С. Прасад

Year: 2020 Journal:   International Journal of Innovative Technology and Exploring Engineering Vol: 9 (4)Pages: 15-20   Publisher: Blue Eyes Intelligence Engineering and Sciences Publication

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:
Spatial correlation Precoding MIMO Spatial multiplexing Fading Channel capacity Computer science Topology (electrical circuits) Base station Covariance matrix Covariance Mathematics Channel (broadcasting) Algorithm Telecommunications Statistics

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Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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