A low-complex peak-to-average power reduction scheme for OFDM based massive MIMO systems

Prabhu, Hemanth; Edfors, Ove; Rodrigues, Joachim Neves; Liu, Liang; Rusek, Fredrik

doi:10.1109/isccsp.2014.6877829

Cited by 39 publications

(33 citation statements)

References 9 publications

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“…∆X 2 F ≤ ∆P max . Note that including this constraint into (14) does not change the convexity of the optimization problem. Nevertheless, to facilitate an efficient algorithm development, this power constraint is omitted in this paper.…”

Section: Proposed Perturbation-assisted Papr Reduction Methodsmentioning

confidence: 99%

“…In this section, we develop an efficient PAPR reduction algorithm to find an effective solution to (14). To make the problem (14)…”

Section: Proxinf-admm Algorithmmentioning

confidence: 99%

“…The extension of these schemes to the multi-user (MU) MIMO systems, however, is not straightforward because joint signal processing at the receiver side is impossible as users are spatially distributed. In [14], a PAPR reduction scheme similar to the tone reservation (TR) [5] was developed for large-scale MU-MIMO-OFDM systems, where the amplitude clipping is used for some transmit antennas to reduce the PAPR, while other antennas are reserved to compensate for the distortions caused by the clipping. This method [14] has a low computational complexity.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], a PAPR reduction scheme similar to the tone reservation (TR) [5] was developed for large-scale MU-MIMO-OFDM systems, where the amplitude clipping is used for some transmit antennas to reduce the PAPR, while other antennas are reserved to compensate for the distortions caused by the clipping. This method [14] has a low computational complexity. But those antennas reserved for compensation may incur large PAPRs.…”

Section: Introductionmentioning

confidence: 99%

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An ADMM Approach for PAPR Reduction for Large-Scale MIMO-OFDM Systems

Bao

Fang

Wan

et al. 2018

IEEE Trans. Veh. Technol.

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We consider the problem of peak-to-average power ratio (PAPR) reduction for orthogonal frequency-division multiplexing (OFDM) based large-scale multiple-input multipleoutput (MIMO) systems. A novel perturbation-assisted scheme is developed to reduce the PAPRs of the transmitted signals by exploiting the redundant degrees-of-freedom (DoFs) inherent in the large-scale antenna array. Specifically, we introduce artificial perturbation signals to the frequency-domain precoded signals, with the aim of reducing the PAPRs of their time-domain counterpart signals. Meanwhile, the additive perturbation signal associated with each tone is constrained to lie in the null-space of its associated channel matrix, such that it does not cause any multi-user inference or out-of-band radiations. Such a problem is formulated as a convex optimization problem, and an efficient algorithm is developed by resorting to the variable splitting and alterative direction method of multipliers (ADMM) techniques. Simulation results show that the proposed method has a fast convergence rate and achieves substantial PAPR reduction within only tens of iterations. In addition, unlike other precoding-based PAPR reduction methods, our proposed method which introduces perturbation signals to the precoded signals is independent of the precoding stage and thus could be more suitable for practical systems.

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Section: Proposed Perturbation-assisted Papr Reduction Methodsmentioning

confidence: 99%

“…In this section, we develop an efficient PAPR reduction algorithm to find an effective solution to (14). To make the problem (14)…”

Section: Proxinf-admm Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An ADMM Approach for PAPR Reduction for Large-Scale MIMO-OFDM Systems

Bao

Fang

Wan

et al. 2018

IEEE Trans. Veh. Technol.

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“…Nonlinear PAs are highly efficient and employing them requires the Peak-to-Average Ratio (PAR) of the transmitted signal to be low. In [4] (antenna reservation), [5] (convex optimization), different approaches to reduce the PAR for Orthogonal FrequencyDivision Multiplexing (OFDM) based Zero-Forcing (ZF) precoding massive MIMO schemes are described. Although, these schemes reduce the PAR by 3-10 dB, they still require linear PAs operating at a back-off, since PAR is not 0 dB.…”

Section: Introductionmentioning

confidence: 99%

High throughput constant envelope pre-coder for massive MIMO systems

Prabhu

Rusek

Rodrigues

et al. 2015

2015 IEEE International Symposium on Circuits and Systems (ISCAS)

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Abstract-This study describes a high throughput constant envelope (CE) pre-coder for Massive MIMO systems. A large number of antennas (M ), in the order of 100s, serve a relatively small number of users (K) simultaneously. The stringent amplitude constraint (only phase changes) in the CE scheme is motivated by the use of highly power-efficient non-linear RF power amplifiers. We propose a scheme that computes the CE signals to be transmitted based on box-constrained regression (coordinatedescent), with an O(2M K) complexity per iteration per user symbol. A highly scalable systolic architecture is implemented, where M Processing Elements (PEs) perform the pre-coding for a system with up to K = 16 users. This systolic architecture results in a very high throughput of 500 Msamples/sec (at 500 MHz clock rate) with a gate count of 14 K per PE in 65 nm technology.

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