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An Energy Efficiency Perspective on Massive MIMO Quantization

Sarajlic, Muris LU ; Liu, Liang LU and Edfors, Ove LU (2017) 50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016) In Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers p.473-478
Abstract
One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters
(ADCs) with very low resolutions and that this will result in overall improvement of energy efficiency. In this contribution, we perform a parametric energy efficiency analysis of MaMi uplink for the entire base station receiver system with varying
ADC resolutions. The analysis shows that, for a wide variety of system parameters, ADCs with intermediate bit resolutions (4 - 10 bits) are optimal in energy efficiency sense, and that using very low bit resolutions results in degradation of energy... (More)
One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters
(ADCs) with very low resolutions and that this will result in overall improvement of energy efficiency. In this contribution, we perform a parametric energy efficiency analysis of MaMi uplink for the entire base station receiver system with varying
ADC resolutions. The analysis shows that, for a wide variety of system parameters, ADCs with intermediate bit resolutions (4 - 10 bits) are optimal in energy efficiency sense, and that using very low bit resolutions results in degradation of energy efficiency. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers
pages
473 - 478
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016)
external identifiers
  • scopus:85016264460
ISBN
978-1-5386-3954-2
DOI
10.1109/ACSSC.2016.7869084
language
English
LU publication?
yes
id
2fa9b00a-6128-479e-8ede-5716dfb8edcc
date added to LUP
2016-12-08 13:32:38
date last changed
2018-03-02 09:28:07
@inproceedings{2fa9b00a-6128-479e-8ede-5716dfb8edcc,
  abstract     = {One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters<br/>(ADCs) with very low resolutions and that this will result in overall improvement of energy efficiency. In this contribution, we perform a parametric energy efficiency analysis of MaMi uplink for the entire base station receiver system with varying<br/>ADC resolutions. The analysis shows that, for a wide variety of system parameters, ADCs with intermediate bit resolutions (4 - 10 bits) are optimal in energy efficiency sense, and that using very low bit resolutions results in degradation of energy efficiency.},
  author       = {Sarajlic, Muris and Liu, Liang and Edfors, Ove},
  booktitle    = {Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers},
  isbn         = {978-1-5386-3954-2},
  language     = {eng},
  pages        = {473--478},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {An Energy Efficiency Perspective on Massive MIMO Quantization},
  url          = {http://dx.doi.org/10.1109/ACSSC.2016.7869084},
  year         = {2017},
}