Spatial Uplink Power Control for Massive MIMO

Wael Boukley Hasan; Paul Harris; Angela Doufexi; Mark Beach

doi:10.1109/VTCSpring.2017.8108658

Spatial Uplink Power Control for Massive MIMO

Wael Boukley Hasan, Paul Harris, Angela Doufexi, Mark Beach

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

524 Downloads (Pure)

Abstract

This paper proposes a novel uplink power control scheme in a single cell for massive MIMO (Multiple-Input-Multiple-Output). The proposed algorithm exploits the spatial degrees of freedom provided by massive MIMO to achieve the highest signal to interference-plus-noise ratio (SINR) for each user by considering the mutual spatial correlation arising from other users. It also minimizes the required uplink transmit power to achieve the highest possible uplink SINR per user without increasing the complexity at the user equipment. The base station (BS) controls the user transmit power using only two bits in a Transmission Power Control (TPC) command and the newly introduced algorithm is expected to increase both the energy efficiency (EE) and single cell spectral efficiency (SE) with reduced transmission overhead, latency and complexity in the receiver. Through recent preliminary trials, a 0.9 dB average SINR increase was achieved, and transmit power was decreased by up to 2.5 dB in the uplink. The proposed algorithm supports several popular linear MIMO decoders and precoders including Minimum Mean Square Error (MMSE), Zero-Forcing (ZF) and Matched Filtering (MF).

Original language	English
Title of host publication	2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
Subtitle of host publication	Proceedings of a meeting held 4-7 June 2017, Sydney, Australia.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2541-2546
Number of pages	5
ISBN (Electronic)	9781509059324
ISBN (Print)	9781509059331
DOIs	https://doi.org/10.1109/VTCSpring.2017.8108658
Publication status	Published - Feb 2018
Event	85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia Duration: 4 Jun 2017 → 7 Jun 2017

Publication series

Name	VTS : Vehicular Technology Conference : VTC
Publisher	IEEE
ISSN (Print)	1550-2252

Conference

Conference	85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country/Territory	Australia
City	Sydney
Period	4/06/17 → 7/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/VTCSpring.2017.8108658

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Boukley Hasan, W., Harris, P., Doufexi, A., & Beach, M. (2018). Spatial Uplink Power Control for Massive MIMO. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings of a meeting held 4-7 June 2017, Sydney, Australia. (pp. 2541-2546). (VTS : Vehicular Technology Conference : VTC). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/VTCSpring.2017.8108658

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title = "Spatial Uplink Power Control for Massive MIMO",

abstract = "This paper proposes a novel uplink power control scheme in a single cell for massive MIMO (Multiple-Input-Multiple-Output). The proposed algorithm exploits the spatial degrees of freedom provided by massive MIMO to achieve the highest signal to interference-plus-noise ratio (SINR) for each user by considering the mutual spatial correlation arising from other users. It also minimizes the required uplink transmit power to achieve the highest possible uplink SINR per user without increasing the complexity at the user equipment. The base station (BS) controls the user transmit power using only two bits in a Transmission Power Control (TPC) command and the newly introduced algorithm is expected to increase both the energy efficiency (EE) and single cell spectral efficiency (SE) with reduced transmission overhead, latency and complexity in the receiver. Through recent preliminary trials, a 0.9 dB average SINR increase was achieved, and transmit power was decreased by up to 2.5 dB in the uplink. The proposed algorithm supports several popular linear MIMO decoders and precoders including Minimum Mean Square Error (MMSE), Zero-Forcing (ZF) and Matched Filtering (MF).",

author = "\{Boukley Hasan\}, Wael and Paul Harris and Angela Doufexi and Mark Beach",

year = "2018",

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Boukley Hasan, W, Harris, P, Doufexi, A & Beach, M 2018, Spatial Uplink Power Control for Massive MIMO. in 2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings of a meeting held 4-7 June 2017, Sydney, Australia.. VTS : Vehicular Technology Conference : VTC, Institute of Electrical and Electronics Engineers (IEEE), pp. 2541-2546, 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 4/06/17. https://doi.org/10.1109/VTCSpring.2017.8108658

Spatial Uplink Power Control for Massive MIMO. / Boukley Hasan, Wael; Harris, Paul; Doufexi, Angela et al.
2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings of a meeting held 4-7 June 2017, Sydney, Australia.. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 2541-2546 (VTS : Vehicular Technology Conference : VTC).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Doufexi, Angela

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N2 - This paper proposes a novel uplink power control scheme in a single cell for massive MIMO (Multiple-Input-Multiple-Output). The proposed algorithm exploits the spatial degrees of freedom provided by massive MIMO to achieve the highest signal to interference-plus-noise ratio (SINR) for each user by considering the mutual spatial correlation arising from other users. It also minimizes the required uplink transmit power to achieve the highest possible uplink SINR per user without increasing the complexity at the user equipment. The base station (BS) controls the user transmit power using only two bits in a Transmission Power Control (TPC) command and the newly introduced algorithm is expected to increase both the energy efficiency (EE) and single cell spectral efficiency (SE) with reduced transmission overhead, latency and complexity in the receiver. Through recent preliminary trials, a 0.9 dB average SINR increase was achieved, and transmit power was decreased by up to 2.5 dB in the uplink. The proposed algorithm supports several popular linear MIMO decoders and precoders including Minimum Mean Square Error (MMSE), Zero-Forcing (ZF) and Matched Filtering (MF).

AB - This paper proposes a novel uplink power control scheme in a single cell for massive MIMO (Multiple-Input-Multiple-Output). The proposed algorithm exploits the spatial degrees of freedom provided by massive MIMO to achieve the highest signal to interference-plus-noise ratio (SINR) for each user by considering the mutual spatial correlation arising from other users. It also minimizes the required uplink transmit power to achieve the highest possible uplink SINR per user without increasing the complexity at the user equipment. The base station (BS) controls the user transmit power using only two bits in a Transmission Power Control (TPC) command and the newly introduced algorithm is expected to increase both the energy efficiency (EE) and single cell spectral efficiency (SE) with reduced transmission overhead, latency and complexity in the receiver. Through recent preliminary trials, a 0.9 dB average SINR increase was achieved, and transmit power was decreased by up to 2.5 dB in the uplink. The proposed algorithm supports several popular linear MIMO decoders and precoders including Minimum Mean Square Error (MMSE), Zero-Forcing (ZF) and Matched Filtering (MF).

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ER -

Boukley Hasan W, Harris P, Doufexi A , Beach M. Spatial Uplink Power Control for Massive MIMO. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring): Proceedings of a meeting held 4-7 June 2017, Sydney, Australia.. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 2541-2546. (VTS : Vehicular Technology Conference : VTC). Epub 2017 Nov 16. doi: 10.1109/VTCSpring.2017.8108658

Spatial Uplink Power Control for Massive MIMO

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