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

Prabhu, Hemanth LU ; Edfors, Ove LU orcid ; Rodrigues, Joachim LU ; Liu, Liang LU orcid and Rusek, Fredrik LU (2014) IEEE International Symposium on Circuits and Systems (ISCAS), 2014 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
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Massive MIMO, Pre-coder
host publication
[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
conference location
Melbourne, Australia
conference dates
2014-06-01 - 2014-06-05
external identifiers
  • wos:000346488600427
  • scopus:84907389998
ISSN
0271-4310
2158-1525
project
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
2016-04-01 10:42:22
date last changed
2024-11-18 16:01:10
@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}},
  keywords     = {{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}},
  url          = {{https://lup.lub.lu.se/search/files/2068506/5364185.pdf}},
  year         = {{2014}},
}