Comparative Study on Linear Precoding Techniques for 5G Massive MIMO System
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ASTU
Abstract
Massive multiple input multiple outputs (M-MIMO) are the most promising technology for 5th
generation (5G) wireless communication system. Wireless throughput and communication
reliability demand as well as the user density is always increase rapidly. Due to that wireless
technology improvement is ongoing as the numbers of users and applications increase. M MIMO system deploy a large number of antennas at the base station (BS) to transmit and
receive signals using a Time Division Duplex (TDD) to or from users at the same time and the
frequency. The performance analysis of massive MIMO DL system using linear precoding has
been investigated in various methods. However, there is no more study on DL multi-user
massive MIMO system. In this thesis, we have investigated the performance of a massive MIMO
DL TDD system utilizing different linear precoding techniques (e.g. MMSE, ZF and MRT) under
Rayleigh fading channel with perfect channel state information at the transmitter (CSIT) to
alleviate the impact of multi-user interference. The simulation result indicates that as compared
to ZF and MRT, MMSE linear precoding is optimal in all cases.
