A. Arvola, S. K. Joshi, A. Tölli and D. Gesbert, "PAPR Reduction in MIMO-OFDM via Power Efficient Transmit Waveform Shaping," in IEEE Access, vol. 10, pp. 47906-47920, 2022, doi: 10.1109/ACCESS.2022.3172325
PAPR reduction in MIMO-OFDM via power efficient transmit waveform shaping
|Author:||Arvola, Antti1; Joshi, Satya Krishna1; Tölli, Antti1;|
1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2EURECOM, Campus SophiaTech, 06410 Biot, France
|Online Access:||PDF Full Text (PDF, 6.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022082956569
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-08-29
In this paper we revisit the long-standing problem of peak-to-average power ratio minimization in MIMO-OFDM systems, with a new angle of approach on a well-known scheme. Utilizing the principles of tone reservation, we place dummy symbols, i.e., complex coefficients, on unused space-frequency resources with the aim of jointly minimizing the transmit signal PAPR and the self-power consumption of the dummy symbols. To solve this joint minimization, we propose three different algorithms exhibiting varying degrees of computational complexity and PAPR reduction performance. Our proposed framework utilizes the strict PAPR expression, i.e., we take into account the average transmit power of the antenna, to simultaneously reduce the PAPR on all antennas while keeping the self-power consumption of the scheme minimal. Our simulation results show that this optimization objective provides better worst-case PAPR reduction and dummy symbol power consumption performance compared to the peak power minimization objective widely utilized in the tone reservation literature. Finally, we propose a novel take on a well-known block-diagonalization algorithm by exploiting knowledge on dummy symbol allocations, resulting in high-gain data streams in downlink transmission.
|Pages:||47906 - 47920|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by the Academy of Finland, under Grant 346208 and Grant 319059. The work of David Gesbert was supported by the European Research Council through the European Unions Horizon 2020 Research and Innovation Program under Agreement 670896.
|Academy of Finland Grant Number:||
346208 (Academy of Finland Funding decision)
319059 (Academy of Finland Funding decision)
© The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.