System Design and Performance for Antenna Reservation in Massive MIMO
(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
- Muneer, Sidra LU ; Sanchez, Jesus Rodriguez LU ; Van Der Perre, Liesbet LU ; Edfors, Ove LU ; Sjoland, Henrik LU and Liu, Liang LU
- organization
-
- LTH Profile Area: AI and Digitalization
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Integrated Electronic Systems (research group)
- Communications Engineering (research group)
- Department of Electrical and Information Technology
- LTH Profile Area: Nanoscience and Semiconductor Technology
- Embedded Electronics Engineering (M.Sc.)
- publishing date
- 2022
- 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}}, }