Analysis of wireless transceiver power tradeoffs for green communications

Marojevic, Vuk; Gómez-Miguélez, Ismael; Gelonch-Bosch, Antoni

doi:10.1049/el.2017.3476

Cited by 2 publications

(1 citation statement)

References 11 publications

(9 reference statements)

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“…reference [45] gives the power distribution of a single-carrier frequency-division multiple access (FDMA) signal. High input power back-off (IBO) is often required to keep the signal with high PAPR within the amplifiers linear region and avoid in-band and out-of-band distortion [46], [47]. A highly linear (e.g.…”

Section: B Papr Basicsmentioning

confidence: 99%

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Yao

Carrick

Sohul

et al. 2019

IEEE Trans. Veh. Technol.

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Massive MIMO requires a large number of antennas and the same amount of power amplifiers (PAs), one per antenna. As opposed to 4G base stations, which could afford highly linear PAs, next-generation base stations will need to use inexpensive PAs, which have a limited region of linear amplification. One of the research challenges is effectively handling signals which have high peak-to-average power ratios (PAPRs), such as orthogonal frequency division multiplexing (OFDM). This paper introduces a PAPR-aware precoding scheme that exploits the excessive spatial degrees-of-freedom of large scale multiple-input multipleoutput (MIMO) antenna systems. This typically requires finding a solution to a nonconvex optimization problem. Instead of relaxing the problem to minimize the peak power, we introduce a practical semidefinite relaxation (SDR) framework that enables accurately and efficiently approximating the theoretical PAPR-aware precoding performance for OFDM-based massive MIMO systems. The framework allows incorporating channel uncertainties and intercell coordination. Numerical results show that several orders of magnitude improvements can be achieved w.r.t. state of the art techniques, such as instantaneous power consumption reduction and multiuser interference cancellation. The proposed PAPRaware precoding can be effectively handled along with the multicell signal processing by the centralized baseband processing platforms of next-generation radio access networks. Performance can be traded for the computing efficiency for other platforms.

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Section: B Papr Basicsmentioning

confidence: 99%

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Yao

Carrick

Sohul

et al. 2019

IEEE Trans. Veh. Technol.

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A Digital Predistortion Scheme Exploiting Degrees-of-Freedom for Massive MIMO Systems

Yao

Sohul

Nealy

et al. 2018

2018 IEEE International Conference on Communications (ICC)

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The primary source of nonlinear distortion in wireless transmitters is the power amplifier (PA). Conventional digital predistortion (DPD) schemes use high-order polynomials to accurately approximate and compensate for the nonlinearity of the PA. This is not practical for scaling to tens or hundreds of PAs in massive multiple-input multiple-output (MIMO) systems. There is more than one candidate precoding matrix in a massive MIMO system because of the excess degrees-of-freedom (DoFs), and each precoding matrix requires a different DPD polynomial order to compensate for the PA nonlinearity. This paper proposes a low-order DPD method achieved by exploiting massive DoFs of next-generation front ends. We propose a novel indirect learning structure which adapts the channel and PA distortion iteratively by cascading adaptive zero forcing precoding and DPD. Our solution uses a 3rd order polynomial to achieve the same performance as the conventional DPD using an 11th order polynomial for a 100×10 massive MIMO configuration. Experimental results show a 70% reduction in computational complexity, enabling ultra-low latency communications.

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Analysis of wireless transceiver power tradeoffs for green communications

Cited by 2 publications

References 11 publications

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

A Digital Predistortion Scheme Exploiting Degrees-of-Freedom for Massive MIMO Systems

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