A reduced-complexity linear precoding strategy for massive MIMO base stations

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Uittreksel

Conjugate beamforming (CB) and zero-forcing (ZF) are well-known linear precoders, which have optimized hardware implementations. In this work, a linear precoder is proposed based on switching between CB and ZF for line-of-sight propagation environments. The proposed idea is to predict and use the precoder, which results in the highest sum-rate for a given channel. To this end, three regimes are introduced for the ratio of power per user at the base station (BS) over noise power at a user receiver. For low values of this ratio, CB and for high values, ZF result in the highest sum-rate. For moderate values, a precoding strategy is proposed to switch to the best precoder. The switching mechanism is based on an upper bound for the ZF sum-rate, which we introduced in this work. The proposed precoding strategy achieves a sum-rate higher than both CB and ZF. Simulation results for a massive MIMO system including a l00-antenna BS, show up to 8% improvement on the sum-rate compared to CB and ZF. In addition, the proposed precoder reduces computational complexity up to 16.5% compared to the ZF precoding.

Originele taal-2Engels
Titel2018 25th International Conference on Telecommunications, ICT 2018
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's121-126
Aantal pagina's6
ISBN van geprinte versie9781538623213
DOI's
StatusGepubliceerd - 13 sep 2018
Evenement25th International Conference on Telecommunications, ICT 2018 - Saint Malo, Frankrijk
Duur: 26 jun 201828 jun 2018

Congres

Congres25th International Conference on Telecommunications, ICT 2018
LandFrankrijk
StadSaint Malo
Periode26/06/1828/06/18

Vingerafdruk

Beamforming
MIMO systems
Base stations
Computational complexity
Switches
Antennas
Hardware

Citeer dit

Farsaei, A., Willems, F., Alvarado, A., & Gustavsson, U. (2018). A reduced-complexity linear precoding strategy for massive MIMO base stations. In 2018 25th International Conference on Telecommunications, ICT 2018 (blz. 121-126). [8464908] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICT.2018.8464908
Farsaei, Amirashkan ; Willems, Frans ; Alvarado, Alex ; Gustavsson, Ulf. / A reduced-complexity linear precoding strategy for massive MIMO base stations. 2018 25th International Conference on Telecommunications, ICT 2018. Institute of Electrical and Electronics Engineers, 2018. blz. 121-126
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title = "A reduced-complexity linear precoding strategy for massive MIMO base stations",
abstract = "Conjugate beamforming (CB) and zero-forcing (ZF) are well-known linear precoders, which have optimized hardware implementations. In this work, a linear precoder is proposed based on switching between CB and ZF for line-of-sight propagation environments. The proposed idea is to predict and use the precoder, which results in the highest sum-rate for a given channel. To this end, three regimes are introduced for the ratio of power per user at the base station (BS) over noise power at a user receiver. For low values of this ratio, CB and for high values, ZF result in the highest sum-rate. For moderate values, a precoding strategy is proposed to switch to the best precoder. The switching mechanism is based on an upper bound for the ZF sum-rate, which we introduced in this work. The proposed precoding strategy achieves a sum-rate higher than both CB and ZF. Simulation results for a massive MIMO system including a l00-antenna BS, show up to 8{\%} improvement on the sum-rate compared to CB and ZF. In addition, the proposed precoder reduces computational complexity up to 16.5{\%} compared to the ZF precoding.",
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Farsaei, A, Willems, F, Alvarado, A & Gustavsson, U 2018, A reduced-complexity linear precoding strategy for massive MIMO base stations. in 2018 25th International Conference on Telecommunications, ICT 2018., 8464908, Institute of Electrical and Electronics Engineers, blz. 121-126, 25th International Conference on Telecommunications, ICT 2018, Saint Malo, Frankrijk, 26/06/18. https://doi.org/10.1109/ICT.2018.8464908

A reduced-complexity linear precoding strategy for massive MIMO base stations. / Farsaei, Amirashkan; Willems, Frans; Alvarado, Alex; Gustavsson, Ulf.

2018 25th International Conference on Telecommunications, ICT 2018. Institute of Electrical and Electronics Engineers, 2018. blz. 121-126 8464908.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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PY - 2018/9/13

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N2 - Conjugate beamforming (CB) and zero-forcing (ZF) are well-known linear precoders, which have optimized hardware implementations. In this work, a linear precoder is proposed based on switching between CB and ZF for line-of-sight propagation environments. The proposed idea is to predict and use the precoder, which results in the highest sum-rate for a given channel. To this end, three regimes are introduced for the ratio of power per user at the base station (BS) over noise power at a user receiver. For low values of this ratio, CB and for high values, ZF result in the highest sum-rate. For moderate values, a precoding strategy is proposed to switch to the best precoder. The switching mechanism is based on an upper bound for the ZF sum-rate, which we introduced in this work. The proposed precoding strategy achieves a sum-rate higher than both CB and ZF. Simulation results for a massive MIMO system including a l00-antenna BS, show up to 8% improvement on the sum-rate compared to CB and ZF. In addition, the proposed precoder reduces computational complexity up to 16.5% compared to the ZF precoding.

AB - Conjugate beamforming (CB) and zero-forcing (ZF) are well-known linear precoders, which have optimized hardware implementations. In this work, a linear precoder is proposed based on switching between CB and ZF for line-of-sight propagation environments. The proposed idea is to predict and use the precoder, which results in the highest sum-rate for a given channel. To this end, three regimes are introduced for the ratio of power per user at the base station (BS) over noise power at a user receiver. For low values of this ratio, CB and for high values, ZF result in the highest sum-rate. For moderate values, a precoding strategy is proposed to switch to the best precoder. The switching mechanism is based on an upper bound for the ZF sum-rate, which we introduced in this work. The proposed precoding strategy achieves a sum-rate higher than both CB and ZF. Simulation results for a massive MIMO system including a l00-antenna BS, show up to 8% improvement on the sum-rate compared to CB and ZF. In addition, the proposed precoder reduces computational complexity up to 16.5% compared to the ZF precoding.

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Farsaei A, Willems F, Alvarado A, Gustavsson U. A reduced-complexity linear precoding strategy for massive MIMO base stations. In 2018 25th International Conference on Telecommunications, ICT 2018. Institute of Electrical and Electronics Engineers. 2018. blz. 121-126. 8464908 https://doi.org/10.1109/ICT.2018.8464908