Skip to main content

Energy-efficiency analysis of per-subcarrier antenna selection with peak-power reduction in MIMO-OFDM wireless systems

Journal Article


Download full-text (Open Access)

Abstract


  • The use of per-subcarrier antenna subset selection in OFDM wireless systems offers higher system capacity and/or improved link

    reliability.However, the implementation of the conventional per-subcarrier selection schememay result in significant fluctuations of

    the average power and peak power across antennas, which affects the potential benefits of the system. In this paper, power efficiency

    of high-power amplifiers and energy efficiency in per-subcarrier antenna selection MIMO-OFDM systems are investigated. To

    deliver the maximum overall power efficiency, we propose a two-step strategy for data-subcarrier allocation.This strategy consists

    of an equal allocation of data subcarriers based on linear optimization and peak-power reduction via cross-antenna permutations.

    For analysis, we derive the CCDF (complementary cumulative distribution function) of the power efficiency as well as the analytical

    expressions of the average power efficiency. It is proved from the power-efficiency perspective that the proposed allocation scheme

    outperforms the conventional scheme. We also show that the improvement in the power efficiency translates into an improved

    capacity and, in turn, increases energy efficiency of the proposed system. Simulation results are provided to validate our analyses.

Publication Date


  • 2014

Citation


  • N. Phuc. Le, L. Chung. Tran & F. Safaei, "Energy-efficiency analysis of per-subcarrier antenna selection with peak-power reduction in MIMO-OFDM wireless systems," International Journal of Antennas and Propagation, vol. 2014, pp. 1-13, 2014.

Scopus Eid


  • 2-s2.0-84903639359

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3479&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2470

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 1

End Page


  • 13

Volume


  • 2014

Place Of Publication


  • United States

Abstract


  • The use of per-subcarrier antenna subset selection in OFDM wireless systems offers higher system capacity and/or improved link

    reliability.However, the implementation of the conventional per-subcarrier selection schememay result in significant fluctuations of

    the average power and peak power across antennas, which affects the potential benefits of the system. In this paper, power efficiency

    of high-power amplifiers and energy efficiency in per-subcarrier antenna selection MIMO-OFDM systems are investigated. To

    deliver the maximum overall power efficiency, we propose a two-step strategy for data-subcarrier allocation.This strategy consists

    of an equal allocation of data subcarriers based on linear optimization and peak-power reduction via cross-antenna permutations.

    For analysis, we derive the CCDF (complementary cumulative distribution function) of the power efficiency as well as the analytical

    expressions of the average power efficiency. It is proved from the power-efficiency perspective that the proposed allocation scheme

    outperforms the conventional scheme. We also show that the improvement in the power efficiency translates into an improved

    capacity and, in turn, increases energy efficiency of the proposed system. Simulation results are provided to validate our analyses.

Publication Date


  • 2014

Citation


  • N. Phuc. Le, L. Chung. Tran & F. Safaei, "Energy-efficiency analysis of per-subcarrier antenna selection with peak-power reduction in MIMO-OFDM wireless systems," International Journal of Antennas and Propagation, vol. 2014, pp. 1-13, 2014.

Scopus Eid


  • 2-s2.0-84903639359

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3479&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2470

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 1

End Page


  • 13

Volume


  • 2014

Place Of Publication


  • United States