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Algorithm and Hardware Aspects of Pre-coding in Massive MIMO Systems

Prabhu, Hemanth LU ; Rodrigues, Joachim LU ; Liu, Liang LU and Edfors, Ove LU (2015) 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 In 2015 49th Asilomar Conference on Signals, Systems and Computers p.1144-1148
Abstract
Massive Multiple-Input Multiple-Output (MIMO) systems have been shown to improve both spectral and energy efficiency one or more orders of magnitude by efficiently exploiting the spatial domain. Low-cost RF chains can be employed to reduce the Base Station (BS) cost, however this may require additional baseband processing to handle induced distortions due to the hardware impairments. In this article the reduction of Peak-to-Average power Ratio (PAR) of the transmitted signals and IQ imbalance in the mixer are analyzed for the down-link.

We analyze various pre-coding schemes and estimate the required processing energy per transmitted information bit. Simulation on gate-level show that the energy cost of performing pre-coding and... (More)
Massive Multiple-Input Multiple-Output (MIMO) systems have been shown to improve both spectral and energy efficiency one or more orders of magnitude by efficiently exploiting the spatial domain. Low-cost RF chains can be employed to reduce the Base Station (BS) cost, however this may require additional baseband processing to handle induced distortions due to the hardware impairments. In this article the reduction of Peak-to-Average power Ratio (PAR) of the transmitted signals and IQ imbalance in the mixer are analyzed for the down-link.

We analyze various pre-coding schemes and estimate the required processing energy per transmitted information bit. Simulation on gate-level show that the energy cost of performing pre-coding and tackling of hardware impairments range from very low to reasonable, compared to the processing necessary in a system without impairments. (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, 5G, pre-coding hardware
in
2015 49th Asilomar Conference on Signals, Systems and Computers
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
external identifiers
  • Scopus:84969772257
ISBN
978-1-4673-8574-9
DOI
10.1109/ACSSC.2015.7421319
project
EIT_DISTRANT Distributed antenna systems for efficient wireless systems
language
English
LU publication?
yes
id
848355bb-ade6-4e8e-a340-7e668e0f8560 (old id 8311423)
date added to LUP
2015-12-15 10:41:20
date last changed
2017-01-01 08:02:10
@inproceedings{848355bb-ade6-4e8e-a340-7e668e0f8560,
  abstract     = {Massive Multiple-Input Multiple-Output (MIMO) systems have been shown to improve both spectral and energy efficiency one or more orders of magnitude by efficiently exploiting the spatial domain. Low-cost RF chains can be employed to reduce the Base Station (BS) cost, however this may require additional baseband processing to handle induced distortions due to the hardware impairments. In this article the reduction of Peak-to-Average power Ratio (PAR) of the transmitted signals and IQ imbalance in the mixer are analyzed for the down-link.<br/><br>
We analyze various pre-coding schemes and estimate the required processing energy per transmitted information bit. Simulation on gate-level show that the energy cost of performing pre-coding and tackling of hardware impairments range from very low to reasonable, compared to the processing necessary in a system without impairments.},
  author       = {Prabhu, Hemanth and Rodrigues, Joachim and Liu, Liang and Edfors, Ove},
  booktitle    = {2015 49th Asilomar Conference on Signals, Systems and Computers},
  isbn         = {978-1-4673-8574-9},
  keyword      = {massive MIMO,5G,pre-coding hardware},
  language     = {eng},
  pages        = {1144--1148},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Algorithm and Hardware Aspects of Pre-coding in Massive MIMO Systems},
  url          = {http://dx.doi.org/10.1109/ACSSC.2015.7421319},
  year         = {2015},
}