University of Oulu

A. Arvola, A. Tölli and D. Gesbert, "Rate maximization via PAPR reduction in MIMO-OFDM uplink: A user cooperation approach," 2017 IEEE International Conference on Communications (ICC), Paris, 2017, pp. 1-6. doi: 10.1109/ICC.2017.7997123

Rate maximization via PAPR reduction in MIMO-OFDM uplink : a user cooperation approach

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Author: Arvola, Antti1; Tölli, Antti1; Gesbert, David2
Organizations: 1Centre for Wireless Communications, 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, 2017
Publish Date: 2018-08-07


In this paper, we propose a novel user cooperation framework aimed at optimizing power efficiency in MIMO-OFDM uplink, where cooperation is directed towards minimizing the transmit signal PAPR at all cooperating users. We consider different degrees of cooperation: 1) joint data transmission with PAPR reduction, 2) only joint data transmission and 3) the reference non-cooperative case based on a zero forcing receiver at the base station. In the cooperative case, we also account for the power required to exchange data between users. The main idea of our scheme is to exploit the unused space-frequency resources induced by the user cooperation to assign dummy symbols on the empty subcarriers and optimize these symbols to affect the outbound waveform. This is achieved as a result for a convex optimization problem which aims to simultaneously minimize the transmit PAPR and dummy symbol power allocation. We further introduce a rate maximization scheme, which maximizes the data power allocation for a given transmit peak power constraint by executing a one-dimensional search. The results show that our proposed PAPR minimizing bit and power allocation scheme can achieve significantly higher throughput at short and medium UE-UE distances.

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Series: IEEE International Conference on Communications
ISSN: 1550-3607
ISSN-E: 1938-1883
ISSN-L: 1550-3607
ISBN: 978-1-4673-8999-0
ISBN Print: 978-1-4673-9000-2
Pages: 1 - 6
DOI: 10.1109/ICC.2017.7997123
Host publication: 2017 IEEE International Conference on Communications (ICC)
Conference: IEEE International Conference on Communications
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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