University of Oulu

A. Arvola, A. Tölli and D. Gesbert, "A user cooperative beamforming approach to PAPR reduction in MIMO-OFDM uplink," 2016 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2016, pp. 691-695. doi: 10.1109/ACSSC.2016.7869133

A user cooperative beamforming approach to PAPR reduction in MIMO-OFDM uplink

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Author: Arvola, Antti1; Tölli, Antti1; Gesbert, David2
Organizations: 1Centre for Wireless Communications, University of Oulu, P.O. Box 4500, 90014 University of Oulu, Finland
2EURECOM, Campus SophiaTech, 450 Route des Chappes, 06410 Biot Sophia Antipolis, France
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2016
Publish Date: 2018-07-30


We consider a scheme for PAPR reduction based on user cooperation in a single-cell multi-user MIMO-OFDM uplink system. The idea is to utilize the unused space-frequency resources induced by collaborative beamforming to transmit dummy symbols, resulting in a transmit signal with reduced per-antenna peak powers. Traditionally collaborative beamforming has been used to acquire beamforming gain, i.e., extended cell coverage and improved rates, while our approach also in addition reduces the transmit signal PAPR of individual user antennas. The reduced PAPR enables the users to allocate more power to data transmission, resulting in a higher system sum-rate for a fixed peak transmit power budget while also relaxing the strict linearity requirements of the user equipment RF components. We also account for the power required to exchange data between cooperating users by utilizing a simple AWGN channel model between users. We formulate the PAPR minimization problem as a convex optimization problem that reduces the PAPR of a given time domain transmit signal provided there are subcarriers with no previous bit allocations, which is a valid assumption especially at mid- and low-SNR regimes.

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Series: Asilomar Conference on Signals, Systems & Computers
ISSN: 1058-6393
ISSN-E: 1058-6393
ISSN-L: 1058-6393
ISBN: 978-1-5386-3954-2
ISBN Print: 978-1-5386-3955-9
Pages: 691 - 695
DOI: 10.1109/ACSSC.2016.7869133
Host publication: 50th Asilomar Conference on Signals, Systems, and Computers, 6 – 9 November 2016, Pacific Grove, USA
Conference: Asilomar Conference on Signals, Systems, and Computers
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research was supported by the Academy of Finland (Decision no. 279101 and 284590). D. Gesbert is supported by the ERC under the European Unions Horizon 2020 research and innovation program (Agreement no. 670896).
Academy of Finland Grant Number: 279101
Detailed Information: 279101 (Academy of Finland Funding decision)
284590 (Academy of Finland Funding decision)
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