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Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO

Prabhu, Hemanth LU ; Edfors, Ove LU ; Rodrigues, Joachim LU ; Liu, Liang LU and Rusek, Fredrik LU (2014) IEEE International Symposium on Circuits and Systems (ISCAS), 2014 In [Host publication title missing] p.1700-1703
Abstract
This paper describes a hardware efficient linear pre-coder for Massive MIMO Base Stations (BSs) comprising a very large number of antennas, say, in the order of 100s, serving multiple users simultaneously. To avoid hardware demanding direct matrix inversions required for the Zero-Forcing (ZF) pre-coder, we use low complexity Neumann series based approximations. Furthermore, we propose a method to speed-up the convergence of the Neumann series by using tri-diagonal pre-condition matrices, which lowers the complexity even further. As a proof of concept a flexible VLSI architecture is presented with an implementation supporting matrix inversion of sizes up-to 16 × 16. In 65 nm CMOS, a throughput of 0.5M matrix inversions per sec is achieved... (More)
This paper describes a hardware efficient linear pre-coder for Massive MIMO Base Stations (BSs) comprising a very large number of antennas, say, in the order of 100s, serving multiple users simultaneously. To avoid hardware demanding direct matrix inversions required for the Zero-Forcing (ZF) pre-coder, we use low complexity Neumann series based approximations. Furthermore, we propose a method to speed-up the convergence of the Neumann series by using tri-diagonal pre-condition matrices, which lowers the complexity even further. As a proof of concept a flexible VLSI architecture is presented with an implementation supporting matrix inversion of sizes up-to 16 × 16. In 65 nm CMOS, a throughput of 0.5M matrix inversions per sec is achieved at clock frequency of 420 MHz with a 104K gate count. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Massive MIMO, Pre-coder
in
[Host publication title missing]
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Circuits and Systems (ISCAS), 2014
external identifiers
  • wos:000346488600427
  • scopus:84907389998
ISSN
0271-4310
2158-1525
project
EIT_DISTRANT Distributed antenna systems for efficient wireless systems
language
English
LU publication?
yes
id
e7dc60f9-6b5a-49ed-bd10-228c88baa113 (old id 4248962)
date added to LUP
2014-01-29 12:15:04
date last changed
2017-11-12 03:11:21
@inproceedings{e7dc60f9-6b5a-49ed-bd10-228c88baa113,
  abstract     = {This paper describes a hardware efficient linear pre-coder for Massive MIMO Base Stations (BSs) comprising a very large number of antennas, say, in the order of 100s, serving multiple users simultaneously. To avoid hardware demanding direct matrix inversions required for the Zero-Forcing (ZF) pre-coder, we use low complexity Neumann series based approximations. Furthermore, we propose a method to speed-up the convergence of the Neumann series by using tri-diagonal pre-condition matrices, which lowers the complexity even further. As a proof of concept a flexible VLSI architecture is presented with an implementation supporting matrix inversion of sizes up-to 16 × 16. In 65 nm CMOS, a throughput of 0.5M matrix inversions per sec is achieved at clock frequency of 420 MHz with a 104K gate count.},
  author       = {Prabhu, Hemanth and Edfors, Ove and Rodrigues, Joachim and Liu, Liang and Rusek, Fredrik},
  booktitle    = {[Host publication title missing]},
  issn         = {0271-4310},
  keyword      = {Massive MIMO,Pre-coder},
  language     = {eng},
  pages        = {1700--1703},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Hardware Efficient Approximative Matrix Inversion for Linear Pre-Coding in Massive MIMO},
  year         = {2014},
}