Normalized least mean square-based adaptive sparse filtering algorithms for estimating multiple-input multiple-output channels

2014 ◽  
Vol 15 (6) ◽  
pp. 1079-1088 ◽  
Author(s):  
Guan Gui ◽  
Li Xu ◽  
Fumiyuki Adachi
Keyword(s):  
Multiple Input Multiple Output ◽  
Mean Square ◽  
Least Mean Square ◽  
Filtering Algorithms ◽  
Sparse Filtering ◽  
Multiple Input ◽  
Normalized Least Mean Square ◽  
Input Multiple Output

Joint Source and Relay Optimization of Multiuser MIMO Relay System

2012 ◽  
Vol 249-250 ◽  
pp. 1201-1204
Author(s):  
Fang Ni Chen ◽  
Zhong Peng Wang
Keyword(s):  
System Performance ◽  
Multiple Input Multiple Output ◽  
The Other ◽  
Mean Square ◽  
Multiuser Mimo ◽  
Relay System ◽  
Precoding Matrix ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results

In this paper, we design the source precoding matrix and the relay amplifying matrix of a multiuser multiple-input multiple-output (MIMO) non-regenerative relay system. Different from the other algorithms, we first introduce a new model with new unknown but to be designed variables. Then we proposed an iterative algorithm to get the source precoding matrix and the relay amplifying matrix to optimize the system performance. The simulation results show that the proposed design algorithms can improve mean square error (MSE) performance.

Fault-tolerant PWM inverter model development for safety electrical drives

2016 ◽  
Vol 7 (2) ◽  
pp. 77-83 ◽  
Author(s):  
Cs. Szász ◽  
R. Şinca
Keyword(s):  
Energy Efficiency ◽  
Mean Square Error ◽  
Minimum Mean Square Error ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Mean Square ◽  
Maximum Ratio Combining ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Better Than

This paper deals with the most recent technology in wireless communication which is massive multiple input multiple output system. The paper studies the performance of massive multiple input multiple output uplink system over Rayleigh fading channel. The performance is measured in terms of spectral and energy efficiency using three schemes of linear detection, maximum-ratio-combining, zero forcing receiver, and minimum mean-square error receiver. The simulation results show that the spectral and energy efficiency increases with increasing the number of base station antennas. Also, the spectral and energy efficiency with minimum mean-square error receiver is better than that withzero forcing receiver, and the latter is better than that with maximum-ratio-combining. Furthermore, the energy efficiency decreases with increasing the spectral efficiency.

scholarly journals Channel Estimation for MIMO Systems

2022 ◽  
Vol 10 (1) ◽  
pp. 201-204
Author(s):  
Sonti Swapna
Keyword(s):  
Channel Estimation ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Least Square ◽  
Spectrum Efficiency ◽  
Mean Square ◽  
Multiple Input ◽  
Input Multiple Output

Abstract: A combination of multiple-input multiple-output (MIMO) systems and orthogonal frequency division multiplexing (OFDM) technologies can be employed in modern wireless communication systems to achieve high data rates and improved spectrum efficiency. For multiple input multiple output (MIMO) systems, this paper provides a Rayleigh fading channel estimation technique based on pilot carriers. The channel is estimated using traditional Least Square (LS) and Minimum Mean Square (MMSE) estimation techniques. The MIMO-OFDM system's performance is measured using the Bit Error Rate (BER) and Mean Square Error (MSE) levels. Keywords: MIMO, MMSE, Channel estimation, BER, OFDM

Spectral and energy efficiency of massive MIMO system

2016 ◽  
Vol 7 (2) ◽  
pp. 71-75
Author(s):  
M. Al-Rawi ◽  
M. Al-Rawi
Keyword(s):  
Energy Efficiency ◽  
Mean Square Error ◽  
Minimum Mean Square Error ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Mean Square ◽  
Maximum Ratio Combining ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Better Than

This paper deals with the most recent technology in wireless communication which is massive multiple input multiple output system. The paper studies the performance of massive multiple input multiple output uplink system over Rayleigh fading channel. The performance is measured in terms of spectral and energy efficiency using three schemes of linear detection, maximum-ratio-combining, zero forcing receiver, and minimum mean-square error receiver. The simulation results show that the spectral and energy efficiency increases with increasing the number of base station antennas. Also, the spectral and energy efficiency with minimum mean-square error receiver is better than that withzero forcing receiver, and the latter is better than that with maximum-ratio-combining. Furthermore, the energy efficiency decreases with increasing the spectral efficiency.

Sign in / Sign up

Export Citation Format

Share Document