학술논문

Probability of Error Minimization Techniques in Downlink Massive MIMO Systems
Document Type
Conference
Source
2021 International Conference on Information and Communication Technology for Development for Africa (ICT4DA) Information and Communication Technology for Development for Africa (ICT4DA), 2021 International Conference on. :137-142 Nov, 2021
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Transportation
Base stations
Modulation
Massive MIMO
Quality of service
Parity check codes
Reliability
Polar codes
Channel coding
Digital Modulation
Massive multiple-input multiple outputs
Perfect channel
Probability of error
Language
Abstract
The primarily goal of future wireless communication systems is to device connections with optimal throughput with minimized latency and enhanced reliability at minimum cost. One of the most important technologies for attaining this goal is massive MIMO (mMIMO). Installing a number of antennas on a single Base Station together with channel coding which is achieved by redundant bits provides reliable communication compared to the classical MIMO in which only limited number of antennas are employed. This paper analyzes the performance of coded and uncoded channel with the effect of M. Furthermore, polar and Low-Density Parity Check Code (LDPC) coding schemes are evaluated and compared with the uncoded channel condition at different number of BS antennas. We have also assessed the performance of massive MIMO at perfect and imperfect channel conditions with different constellation orders. The simulation results show that channel coded data in a perfect channel outperforms the uncoded one and as the number of antennas grows, the bit error rate (BER) is reduced.