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A low-complex peak-to-average power reduction scheme for OFDM based massive MIMO systems

Prabhu, Hemanth LU ; Edfors, Ove LU ; Rodrigues, Joachim LU ; Liu, Liang LU and Rusek, Fredrik LU (2014) International Symposium on communications, control and signal processing In 2014 6th International Symposium on Communications, Control and Signal Processing (Isccsp) p.114-117
Abstract
An Orthogonal Frequency-Division Multiplexing (OFDM) based multi-user massive Multiple-Input Multiple-Output (MIMO) system is considered. The problem of high Peak-to-Average Ratio (PAR) in OFDM based systems is well known and the large number of antennas (RF-chains) at the Base Station (BS) in massive MIMO systems aggravates this further, since large numbers of these Power Amplifiers (PAs) are used. High PAR necessitates linear PAs, which have a high hardware cost and are typically power inefficient. In this paper we propose a low-complex approach to tackle the issue. The idea is to deliberately clip signals sent to one set of antennas, while compensating for this by transmitting correction signals on a set of reserved antennas... (More)
An Orthogonal Frequency-Division Multiplexing (OFDM) based multi-user massive Multiple-Input Multiple-Output (MIMO) system is considered. The problem of high Peak-to-Average Ratio (PAR) in OFDM based systems is well known and the large number of antennas (RF-chains) at the Base Station (BS) in massive MIMO systems aggravates this further, since large numbers of these Power Amplifiers (PAs) are used. High PAR necessitates linear PAs, which have a high hardware cost and are typically power inefficient. In this paper we propose a low-complex approach to tackle the issue. The idea is to deliberately clip signals sent to one set of antennas, while compensating for this by transmitting correction signals on a set of reserved antennas (antenna-reservation). A reduction of 4 dB in PAR is achieved by reserving 25% of antennas, with only a 15% complexity overhead. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
pre-coding, Massive MIMO, PAR aware
in
2014 6th International Symposium on Communications, Control and Signal Processing (Isccsp)
pages
114 - 117
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
International Symposium on communications, control and signal processing
external identifiers
  • WOS:000346443500029
  • Scopus:84906732304
project
EIT_DISTRANT Distributed antenna systems for efficient wireless systems
language
English
LU publication?
yes
id
eb4cd13c-a0cb-4fcf-a86d-ae33a4c40b56 (old id 4332152)
date added to LUP
2014-03-03 09:56:12
date last changed
2016-10-13 04:43:41
@misc{eb4cd13c-a0cb-4fcf-a86d-ae33a4c40b56,
  abstract     = {An Orthogonal Frequency-Division Multiplexing (OFDM) based multi-user massive Multiple-Input Multiple-Output (MIMO) system is considered. The problem of high Peak-to-Average Ratio (PAR) in OFDM based systems is well known and the large number of antennas (RF-chains) at the Base Station (BS) in massive MIMO systems aggravates this further, since large numbers of these Power Amplifiers (PAs) are used. High PAR necessitates linear PAs, which have a high hardware cost and are typically power inefficient. In this paper we propose a low-complex approach to tackle the issue. The idea is to deliberately clip signals sent to one set of antennas, while compensating for this by transmitting correction signals on a set of reserved antennas (antenna-reservation). A reduction of 4 dB in PAR is achieved by reserving 25% of antennas, with only a 15% complexity overhead.},
  author       = {Prabhu, Hemanth and Edfors, Ove and Rodrigues, Joachim and Liu, Liang and Rusek, Fredrik},
  keyword      = {pre-coding,Massive MIMO,PAR aware},
  language     = {eng},
  pages        = {114--117},
  publisher    = {ARRAY(0x51c3500)},
  series       = {2014 6th International Symposium on Communications, Control and Signal Processing (Isccsp)},
  title        = {A low-complex peak-to-average power reduction scheme for OFDM based massive MIMO systems},
  year         = {2014},
}