An Energy Efficiency Perspective on Massive MIMO Quantization
(2017) 50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016) 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2fa9b00a-6128-479e-8ede-5716dfb8edcc
- author
- Sarajlic, Muris LU ; Liu, Liang LU and Edfors, Ove LU
- organization
- publishing date
- 2017
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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)
- conference location
- Pacific Grove, United States
- conference dates
- 2016-11-06 - 2016-11-09
- 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
- 2024-03-07 18:07:03
@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 = {{https://lup.lub.lu.se/search/files/17966598/Paper.pdf}}, doi = {{10.1109/ACSSC.2016.7869084}}, year = {{2017}}, }