In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO ...
Abstract — In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error. (SIC-MMSE) detection scheme for coded ...
Zhilin Fu , Satya Chan, Sooyoung Kim: Efficient SIC-MMSE Detection Using Neumann Series Expansion. ICTC 2018: 69-73. a service of Schloss Dagstuhl - Leibniz ...
Feb 26, 2021 · In this work, the authors propose a hybrid Neumann series based MMSE detector which decomposes the detected signal into its constituent ...
In this work, we exploit the Neumann series based MMSE algorithm to reduce the computational complexity of linear M-. MIMO detection. We have not considered ...
In this paper, we propose an efficient joint iterative detection and decoding (JIDD) scheme with a soft interference cancellation minimum mean squared error ...
Feb 21, 2023 · Neumann series expansion is applied to approximate matrix inversion using a series of matrix–vector multiplications, which is simple to ...
Neumann series (NS) and successive over relaxation (SOR) are two typical methods that solve such a problem in linear precoding. NS expands the inverse of a ...
Jan 22, 2014 · Approximate MMSE via Neumann Series Expansion . . . 170. 3.3 ... algorithm known as MMSE-SIC, which extends ZF-SIC in the same manner as.
Feb 17, 2020 · This paper presents a computationally efficient soft detection scheme for massive multiple-input multiple-output (MIMO) systems.