학술논문

Forward-substitution-based generalized eigenvalue decomposition processor for MU-MIMO precoding
Document Type
Conference
Source
2017 IEEE International Workshop on Signal Processing Systems (SiPS) Signal Processing Systems (SiPS), 2017 IEEE International Workshop on. :1-6 Oct, 2017
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Matrix decomposition
Precoding
Mathematical model
Jacobian matrices
Eigenvalues and eigenfunctions
MIMO
Language
ISSN
2374-7390
Abstract
To improve the spectrum efficiency in wireless communication systems, multiple-input multiple-output (MIMO) technology uses multiple antennas and allows several users to share the same spectrum and antennas by using precoding technique. In the leakage-based precoding technique, generalized eigenvalue decomposition (GEVD) must generate many precoding matrices for all users in the base station to avoid co-channel interference. This paper presents a GEVD algorithm based on forward substitution (FS) scheme to avoid matrix inversion operations. This research also designed and implemented the GEVD processor by using a 40nm CMOS technology. The synthesis results show that the FS-based GEVD processor can reduce area cost by 52% and improve the processing throughput by 12% compared to our previous GEVD [1] processor based on triangular matrix inversion with block multiplication.