Performance analysis of achievable sum-rate for downlink massive MIMO systems

2019 ◽  
Vol 33 (4) ◽  
pp. e4232 ◽  
Author(s):  
Hao Li ◽  
Zhigang Wang ◽  
Houjun Wang
Keyword(s):  
Performance Analysis ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Sum Rate

scholarly journals Performance Analysis of Linear Precoding in Downlink Based on Polynomial Expansion on Massive MIMO Systems

2021 ◽  
Vol 2062 (1) ◽  
pp. 012006
Author(s):  
Sammaiah Thurpati ◽  
Mahesh Mudavath ◽  
P. Muthuchidambaranathan
Keyword(s):  
Performance Analysis ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Polynomial Expansion ◽  
Achievable Rate ◽  
Linear Precoding ◽  
Zero Forcing ◽  
Sum Rate ◽  
Ratio Transmission ◽  
Maximum Ratio Transmission

Abstract The performance of linear precoding schemes in downlink Massive MIMO systems is dealt with in this paper. Linear precoding schemes are incorporated with zero-forcing (ZF) and maximum ratio transmission (MRT), truncated polynomial expansion (TPE), regularized zero force (RZF) in Downlink massive MIMO systems. Massive MIMO downlink output is evaluated with linear precoding included. This paper expresses the performance of achievable sum-rate linear precoding with variable signal-to-noise (SNR) ratio and achievable sum rate and several transmitter-receiver antennas, such as imperfect CSI, less complex processing, and inter-user interference. The transmitter has complete state information on the channel. The information narrates how a signal propagates to the receiver from the transmitter and reflects, for example, the cumulative effect of distance scattering, fading, and power decay. They show that the performance analysis of two linear precoding techniques, i.e., Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) for downlink mMIMO output network over a perfect chain. The results show the improved ZF precoding achievable sum rate compared to the MRT precoding schemes and compared the average achievable rate RZF and TPE.

scholarly journals Performance Analysis of Linear Precoding in Downlink Based on Polynomial Expansion on massive MIMO systems

2021 ◽  
Author(s):  
SAMMAIAH THURPATI ◽  
P Muthuchidambaranathan
Keyword(s):  
Performance Analysis ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Cumulative Effect ◽  
Polynomial Expansion ◽  
Achievable Rate ◽  
Linear Precoding ◽  
Zero Forcing ◽  
Sum Rate ◽  
Ratio Transmission

Abstract The performance of linear precoding schemes in downlink Massive MIMO systems is dealt with in this paper. Linear precoding schemes are incorporated with zero forcing (ZF) and maximum ratio transmission (MRT), truncated polynomial expansion (TPE), regularized zero force (RZF) in Downlink massive MIMO systems. Massive MIMO downlink output is evaluated with linear precoding included. This paper expresses the performance of achievable sum rate linear precoding with variable signal-to-noise (SNR) ratio and achievable sum rate and several transmitter-receiver antennas, such as imperfect CSI, less complex processing and inter-user interference. The transmitter has complete state information on the channel. The information narrate how a signal propagates to the receiver from the transmitter and reflects, for example, the cumulative effect of distance scattering, fading, and power decay. They show that the performance analysis of two linear precoding techniques,i.e.Maximum Ratio Transmission (MRT) and Zero Forcing (ZF) for downlink mMIMO output network over a perfect chain. The results show the improved ZF precoding achievable sum rate compared to the MRT precoding schemes and also compared the average achievable rate RZF and TPE.

scholarly journals Performance Analysis and Location Optimization for Massive MIMO Systems With Circularly Distributed Antennas

2015 ◽  
Vol 14 (10) ◽  
pp. 5659-5671 ◽  
Author(s):  
Ang Yang ◽  
Yindi Jing ◽  
Chengwen Xing ◽  
Zesong Fei ◽  
Jingming Kuang
Keyword(s):  
Performance Analysis ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Location Optimization ◽  
Distributed Antennas

Performance Analysis of Different Hybrid Precoding Schemes in 5G mmWave massive MIMO Systems

2021 ◽  
Vol 11 (09) ◽  
pp. 1696-1700
Author(s):  
Md. Mizanul Hoque ◽  
Md. Masud Karim ◽  
Md. Mustafa Kamal ◽  
Md. Kayesh ◽  
Sawkat Osman
Keyword(s):  
Energy Consumption ◽  
Performance Analysis ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Cellular Communication ◽  
Low Energy ◽  
System Complexity ◽  
Hybrid Precoding ◽  
Energy Consuming

Millimeter-wave (mmWave) communication is most likely to appear as a aspiring technology in the upcoming generation of cellular communication (5G). To confront several challenges (e.g., system complexity, energy consumption etc.), hybrid precoding is largely investigated in mmWave massive MIMO systems due to its low energy consuming nature and reduced system complexity.

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