scholarly journals Training-based and semiblind channel estimation for MIMO systems with maximum ratio transmission

2006 ◽  
Vol 54 (7) ◽  
pp. 2546-2558 ◽  
Author(s):  
C.R. Murthy ◽  
A.K. Jagannatham ◽  
B.D. Rao
Keyword(s):  
Channel Estimation ◽  
Mimo Systems ◽  
Semiblind Channel Estimation ◽  
Ratio Transmission ◽  
Maximum Ratio Transmission

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 MIMO-STBC Systems with Higher Coding Rate Using Adaptive Semiblind Channel Estimation Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-17
Author(s):  
Ravi Kumar ◽  
Rajiv Saxena
Keyword(s):  
Channel Estimation ◽  
Antenna Arrays ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Estimation Method ◽  
Block Codes ◽  
Mimo Antenna ◽  
Diversity Coding ◽  
Space Time Block Codes ◽  
Semiblind Channel Estimation

Semiblind channel estimation method provides the best trade-off in terms of bandwidth overhead, computational complexity and latency. The result after using multiple input multiple output (MIMO) systems shows higher data rate and longer transmit range without any requirement for additional bandwidth or transmit power. This paper presents the detailed analysis of diversity coding techniques using MIMO antenna systems. Different space time block codes (STBCs) schemes have been explored and analyzed with the proposed higher code rate. STBCs with higher code rates have been simulated for different modulation schemes using MATLAB environment and the simulated results have been compared in the semiblind environment which shows the improvement even in highly correlated antenna arrays and is found very close to the condition when channel state information (CSI) is known to the channel.

scholarly journals Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 882 ◽  
Author(s):  
Geon-Woong Jung ◽  
Yong-Hwan Lee
Keyword(s):  
Computer Simulation ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Low Complexity ◽  
Beam Direction ◽  
Transmission Scheme ◽  
Zero Forcing ◽  
Combined Use ◽  
Ratio Transmission ◽  
Maximum Ratio Transmission

In this paper, we design a complexity-reduced transmission scheme in massive antenna environments. To reduce the implementation complexity for the generation of beam weight, we design a multi-user parameterized beamforming (MUPB) scheme that can control the beam direction using a single parameter with combined use of maximum ratio transmission and partial zero-forcing scheme that partially nulls out interference. We design the MUPB to maximize the signal-to-leakage plus noise ratio (SLNR). To further reduce the implementation complexity, we optimize the MUPB based on approximated SLNR instead of accurate SLNR. Finally, the performance of the proposed MUPB is verified by computer simulation.

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