Volume 18 No 12 (2020)
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PERFORMANCE AND ANALYSIS OF MIMO FOR 5G APPLICATIONS BY VARYING NUMBER OF ANTENNAS
JYOTHULA SWATHI, NELAVELLI JAYAMMA, GAYATRI GADE
Abstract
Because huge multi-input-multi-output (MIMO) systems can enable very high energy and spectrum efficiency, they are critical to the development of fifth-generation (5G) cellular networks and their potentially gigantic data speeds. Getting ready for the throughput demands of 5G, the next generation of wireless technology, which is defined by the general availability of extremely fast internet connections, is a problem for mobile broadband networks. By creating the closed-form approximation for workable data rate expressions, the performance of massive MIMO systems with linear minimal mean square error (MMSE), zero forcing (ZF), and maximum ratio transmission (MRT) improves as the number of antennas rises. On the other hand, applying MMSE, ZF, and MRT can reduce inter-cell interference signals between neighboring cells, which can result in a higher signal-to-noise ratio (SNR). The theoretical sum rate for MMSE is increased by distributing users inside the cell by reducing inter-cell interference, which is generated by several cells transmitting the same signal. However, in the situation of perfect CSI, MMSE outperforms ZF by around 20% of the maximum sum rate.
Keywords
huge multi-input-multi-output (5G), cellular networks, and MIMO.
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