Energy efficiency optimization for cell-free massive MIMO. Ngo, H., Q., Tran, L., N., Duong, T., Q., Matthaiou, M., & Larsson, E., G. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, volume 2017-July, pages 1-5, 2017.
abstract   bibtex   
—This paper considers a time-division duplex cell-free massive multiple-input multiple-output downlink with imperfect channel station information and conjugate beamforming scheme. The total energy efficiency is investigated taking into account the hardware power consumption and the backhaul power consumption. We propose an optimal power allocation algorithm which aims to maximize the total energy efficiency, under a per-access point power constraint and a per-user spectral efficiency constraint. This optimization problem can be approximately solved via a sequence of second-order cone programs. Compared with the case of without power control, our proposed power allocation scheme can double the total energy efficiency. Fur-thermore, we show that, when the number of access points is large, the backhaul power consumption affects significantly the total energy efficiency. Index Terms—Cell-free massive MIMO, conjugate beamform-ing, energy efficiency, massive MIMO, network MIMO.
@inProceedings{
 title = {Energy efficiency optimization for cell-free massive MIMO},
 type = {inProceedings},
 year = {2017},
 identifiers = {[object Object]},
 keywords = {Cell-free massive MIMO,Conjugate beamforming,Energy efficiency,Massive MIMO,Network MIMO},
 pages = {1-5},
 volume = {2017-July},
 id = {7295a2b1-2053-3f0d-b3e8-927c89bf15aa},
 created = {2018-04-04T13:35:48.149Z},
 file_attached = {false},
 profile_id = {ae3c3618-3f38-3a00-9bd1-a1c94416d536},
 last_modified = {2019-09-22T11:57:29.001Z},
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 starred = {false},
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 citation_key = {Ngo2017a},
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 abstract = {—This paper considers a time-division duplex cell-free massive multiple-input multiple-output downlink with imperfect channel station information and conjugate beamforming scheme. The total energy efficiency is investigated taking into account the hardware power consumption and the backhaul power consumption. We propose an optimal power allocation algorithm which aims to maximize the total energy efficiency, under a per-access point power constraint and a per-user spectral efficiency constraint. This optimization problem can be approximately solved via a sequence of second-order cone programs. Compared with the case of without power control, our proposed power allocation scheme can double the total energy efficiency. Fur-thermore, we show that, when the number of access points is large, the backhaul power consumption affects significantly the total energy efficiency. Index Terms—Cell-free massive MIMO, conjugate beamform-ing, energy efficiency, massive MIMO, network MIMO.},
 bibtype = {inProceedings},
 author = {Ngo, Hien Quoc and Tran, Le Nam and Duong, Trung Q. and Matthaiou, Michail and Larsson, Erik G.},
 booktitle = {IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC}
}
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