scholarly journals Efficient hybrid Neumann series based MMSE assisted detection for 5G and beyond massive MIMO systems

2020 ◽  
Vol 14 (22) ◽  
pp. 4142-4151
Author(s):  
Kiran Khurshid ◽  
Muhammad Imran ◽  
Adnan Ahmed Khan ◽  
Imran Rashid ◽  
Haroon Siddiqui
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Neumann Series

scholarly journals Fast Converging Iterative Precoding for Massive MIMO Systems: An Accelerated Weighted Neumann Series-Steepest Descent Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 50244-50255
Author(s):  
Qian Deng ◽  
Xiaopeng Liang ◽  
Xianpeng Wang ◽  
Mengxing Huang ◽  
Chao Dong ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Neumann Series ◽  
Steepest Descent

scholarly journals An Efficient Estimation of the Number of Optimal Iterations for GS Pre-coding in Downlink Massive MIMO Systems

2020 ◽  
Vol 10 (23) ◽  
pp. 8735
Author(s):  
Jae-Hyun Ro ◽  
Woon-Sang Lee ◽  
Hyun-Sun Hwang ◽  
Duckdong Hwang ◽  
Young-Hwan You ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Signal Transmission ◽  
Multiple Input Multiple Output ◽  
Closed Form Solution ◽  
Neumann Series ◽  
Form Solution ◽  
Efficient Estimation ◽  
Input Multiple Output ◽  
Estimation Scheme

This paper proposes an estimation scheme of the number iterations for optimal Gauss–Seidel (GS) pre-coding in the downlink massive multiple input multiple output (MIMO) systems for the first time. The number of iterations in GS pre-coding is one of the key parameters and should be estimated accurately prior to signal transmission in the downlink systems. For efficient estimation without presentations of the closed-form solution for the GS pre-coding symbols, the proposed estimation scheme uses the relative method which calculates the normalized Euclidean distance (NED) between consecutive GS solutions by using the property of the monotonic decrease function of the GS solutions. Additionally, an efficient initial solution for the GS pre-coding is proposed as a two term Neumann series (NS) based on the stair matrix for improving the accuracy of estimation and accelerating the convergence rate of the GS solution. The evaluated estimation performances verify high accuracy in the downlink massive MIMO systems even in low loading factors. In addition, an additional complexity for estimating the number of the optimal iterations is nearly negligible.

scholarly journals Joint Newton Iteration and Neumann Series Method of Convergence-Accelerating Matrix Inversion Approximation in Linear Precoding for Massive MIMO Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Lin Shao ◽  
Yunxiao Zu
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Neumann Series ◽  
Convergence Condition ◽  
Newton Iteration ◽  
Matrix Inversion ◽  
Linear Precoding ◽  
Series Method ◽  
Large Numbers ◽  
Speed Up

Due to large numbers of antennas and users, matrix inversion is complicated in linear precoding techniques for massive MIMO systems. Several approximated matrix inversion methods, including the Neumann series, have been proposed to reduce the complexity. However, the Neumann series does not converge fast enough. In this paper, to speed up convergence, a new joint Newton iteration and Neumann series method is proposed, with the first iteration result of Newton iteration method being employed to reconstruct the Neumann series. Then, a high probability convergence condition is established, which can offer useful guidelines for practical massive MIMO systems. Finally, simulation examples are given to demonstrate that the new joint Newton iteration and Neumann series method has a faster convergence rate compared to the previous Neumann series, with almost no increase in complexity when the iteration number is greater than or equal to 2.

Fast Converging Weighted Neumann Series Precoding for Massive MIMO Systems

2018 ◽  
Vol 7 (2) ◽  
pp. 154-157 ◽  
Author(s):  
Betty Nagy ◽  
Maha Elsabrouty ◽  
Salwa Elramly
Keyword(s):  
Massive Mimo ◽  
Mimo Systems ◽  
Neumann Series

scholarly journals Design of Low-Complexity Hybrid Precoder and Inkjet-Printed Antenna Array for Massive MIMO Downlink Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Subitha D ◽  
Mathana J M
Keyword(s):  
Antenna Array ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Low Cost ◽  
Coplanar Waveguide ◽  
Neumann Series ◽  
Low Complexity ◽  
Printed Antenna ◽  
Probability Of Error ◽  
4G Wireless

The dramatically growing mobile communication industry necessitates the demand for the speedy and error-free connectivity at considerably low cost for the billions of users. This is made possible only through the technological advancements that replace the current 4G wireless systems by 5G. Massive MIMO is the key technology used in 5G that offers spectral efficiency of up to 3 times and throughput of up to 10 times the current 4G. The additional antennas used in massive MIMO systems help in many ways but lack in complexity. Hence, in this paper, we propose two design methodologies to reduce the complexity of massive MIMO systems. The first one is the design of low-complexity hybrid precoder based on Zero-Forcing (ZF) precoding algorithm and Neumann series approximation. The second one is the design of flexible, environment friendly, simple 128-element antenna array at the frequency of 2.4 GHz using inkjet printing technology. The substrate used for printing is the “glossy paper” with dielectric constant of 2.31, and the ink used is silver nanoparticle ink with conductivity of 35,700,000 s/m. The element used for the formation of array is the z-shaped coplanar waveguide (CPW) monopole antenna. The performance of the proposed designs is evaluated in terms of probability of error for the hybrid precoding algorithm and radiation characteristics like gain, directivity, and return loss for the printed antenna design.

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