Peak-to-average ratio reduction with Tone Reservation in multi-user and MIMO OFDM

Henkel, Werner; Wakeel, Abdul; Taseska, Maja

doi:10.1109/iccchina.2012.6356910

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…Different techniques have been proposed for PAR reduction in MIMO-OFDM systems, equipped with a small number of antennas. The well-known techniques amongst them are Selected Mapping (SLM) [4], [5], Partial Transmit Sequences (PTS) [6], and Tone Reservation (TR) [8]. However, for largescale MU-MIMO-OFDM systems, a first approach has been made in [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Least-squares iterative PAR reduction for point-to-point large-scale MIMO-OFDM systems

Wakeel

Henkel

2014

2014 IEEE International Conference on Communications (ICC)

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This paper addresses peak-to-average ratio (PAR) reduction in orthogonal frequency division multiplexing (OFDM) based large-scale multiple-input multiple-output (MIMO) systems. We propose a new technique for PAR reduction in point-topoint scenarios. The last eigenchannels of a massive MIMO channel are often very weak. Not using them for data transmission will offer redundancy for PAR reduction. These eigenchannels are used to approximate the peaks which exceed a given target value in a least squares fashion. This approximate exceedence model is then subtracted from the original signal in time domain for PAR reduction. It has been shown through simulation results that a considerable gain can be obtained with the proposed method with marginal increase in the average power and almost negligible loss in the channel capacity.Index Terms-Large-scale multiple-input multiple-output (MIMO), singular value decomposition (SVD), precoding, orthogonal frequency division multiplexing (OFDM), peak-to-average ratio (PAR), least squares estimation.

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Section: Introductionmentioning

confidence: 99%

Least-squares iterative PAR reduction for point-to-point large-scale MIMO-OFDM systems

Wakeel

Henkel

2014

2014 IEEE International Conference on Communications (ICC)

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Peak‐to‐Average Power Ratio Reduction Techniques

2019

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Multicarrier transmission schemes produce time‐domain (TD) signals with large envelope fluctuations. These signals suffer from nonlinear distortions when passing through a high‐power amplifier (HPA) because of its nonlinear transfer function. Several metrics are used to quantify the envelope fluctuations: peak‐to‐average power ratio (PAPR), crest factor (CF), and cubic metric (CM). Multiple techniques and algorithms have been proposed for reducing such metrics in the literature. This article reviews all the possible PAPR reduction techniques and emphasizes the importance of their application in multicarrier schemes. Besides, new variants adapted to multiple‐input multiple‐output (MIMO) orthogonal frequency division multiplexing (OFDM) are also presented, which take on importance in 5G systems. Finally, a comparison among these techniques is presented in terms of the key aspects considered when designing a 5G system: power increase, implementation complexity, bit error rate (BER) degradation, and required side information. It is shown that the selection of the PAPR reduction technique depends on the application, the system requirements, and the scenario.

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Least-squares iterative peak-to-average ratio reduction for MIMO-OFDM systems

Wakeel

Henkel

2014

2014 IEEE Global Communications Conference

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This manuscript addresses peak-to-average ratio (PAR) reduction in orthogonal frequency division multiplexing (OFDM) based multiple-input multiple-output (MIMO) systems. A new technique for PAR reduction in point-to-point scenarios is proposed. Singular value decomposition (SVD) algorithms usually sort the singular values of a MIMO channel in descending order. The last singular value and the associated eigenchannels of a MIMO-OFDM channel are often very weak. Not using them for data transmission will offer redundancy for PAR reduction. These eigenchannels are used to approximate the peaks which exceed a given target value in a least-squares fashion. This approximated exceedence model is then subtracted from the original signal in time domain for PAR reduction. It has been shown that a remarkable gain can be obtained with the proposed algorithm with a negligible increase in the average power and capacity loss.

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Peak-to-average ratio reduction with Tone Reservation in multi-user and MIMO OFDM

Cited by 4 publications

References 4 publications

Least-squares iterative PAR reduction for point-to-point large-scale MIMO-OFDM systems

Least-squares iterative PAR reduction for point-to-point large-scale MIMO-OFDM systems

Peak‐to‐Average Power Ratio Reduction Techniques

Least-squares iterative peak-to-average ratio reduction for MIMO-OFDM systems

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