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System Design and Performance for Antenna Reservation in Massive MIMO

Muneer, Sidra LU ; Sanchez, Jesus Rodriguez LU ; Van Der Perre, Liesbet LU ; Edfors, Ove LU orcid ; Sjoland, Henrik LU orcid and Liu, Liang LU orcid (2022) 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022 In IEEE Vehicular Technology Conference 2022-September.
Abstract

Peak to average power (PAPR) reduction of OFDM signals is critical in order to improve power amplifier (PA) efficiency in base stations. For massive MIMO, the complexity of these methods can become a real bottleneck in implementing low power digital signal processing chains. In this work, we consider an antenna reservation technique, which uses a low complexity clipping method to reduce signal peaks and leverages the benefit of massive antennas, by reserving a subset of antennas in order to compensate for the clipping distortion. Reserving antennas on the other hand reduces the potential array gain in the massive MIMO system, complicating the application of antenna reservation. This work explores various design space parameters in... (More)

Peak to average power (PAPR) reduction of OFDM signals is critical in order to improve power amplifier (PA) efficiency in base stations. For massive MIMO, the complexity of these methods can become a real bottleneck in implementing low power digital signal processing chains. In this work, we consider an antenna reservation technique, which uses a low complexity clipping method to reduce signal peaks and leverages the benefit of massive antennas, by reserving a subset of antennas in order to compensate for the clipping distortion. Reserving antennas on the other hand reduces the potential array gain in the massive MIMO system, complicating the application of antenna reservation. This work explores various design space parameters in antenna reservation such as number of reserved antennas, amount of peak reduction and clipping methods. We investigate the impact of these parameters on the error vector magnitude at the user and on the adjacent channel power ratio at both transmitter and user positions. Our results enable a deeper understanding of antenna reservation as a low complexity PAPR reduction method in massive MIMO systems.

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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
series title
IEEE Vehicular Technology Conference
volume
2022-September
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
conference location
London, United Kingdom
conference dates
2022-09-26 - 2022-09-29
external identifiers
  • scopus:85146980395
ISSN
1550-2252
ISBN
9781665454681
DOI
10.1109/VTC2022-Fall57202.2022.10012708
language
English
LU publication?
yes
id
e86247af-cadb-4547-9f5c-7c028355639a
date added to LUP
2023-02-14 14:51:35
date last changed
2024-04-04 16:33:12
@inproceedings{e86247af-cadb-4547-9f5c-7c028355639a,
  abstract     = {{<p>Peak to average power (PAPR) reduction of OFDM signals is critical in order to improve power amplifier (PA) efficiency in base stations. For massive MIMO, the complexity of these methods can become a real bottleneck in implementing low power digital signal processing chains. In this work, we consider an antenna reservation technique, which uses a low complexity clipping method to reduce signal peaks and leverages the benefit of massive antennas, by reserving a subset of antennas in order to compensate for the clipping distortion. Reserving antennas on the other hand reduces the potential array gain in the massive MIMO system, complicating the application of antenna reservation. This work explores various design space parameters in antenna reservation such as number of reserved antennas, amount of peak reduction and clipping methods. We investigate the impact of these parameters on the error vector magnitude at the user and on the adjacent channel power ratio at both transmitter and user positions. Our results enable a deeper understanding of antenna reservation as a low complexity PAPR reduction method in massive MIMO systems.</p>}},
  author       = {{Muneer, Sidra and Sanchez, Jesus Rodriguez and Van Der Perre, Liesbet and Edfors, Ove and Sjoland, Henrik and Liu, Liang}},
  booktitle    = {{2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings}},
  isbn         = {{9781665454681}},
  issn         = {{1550-2252}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Vehicular Technology Conference}},
  title        = {{System Design and Performance for Antenna Reservation in Massive MIMO}},
  url          = {{http://dx.doi.org/10.1109/VTC2022-Fall57202.2022.10012708}},
  doi          = {{10.1109/VTC2022-Fall57202.2022.10012708}},
  volume       = {{2022-September}},
  year         = {{2022}},
}