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Spatial Uplink Power Control for Massive MIMO

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference (VTC Spring)
Subtitle of host publicationProceedings of a meeting held 4-7 June 2017, Sydney, Australia.
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages2541-2546
Number of pages5
ISBN (Electronic)9781509059324
ISBN (Print)9781509059331
DOIs
DateAccepted/In press - 4 Jun 2017
DateE-pub ahead of print - 16 Nov 2017
DatePublished (current) - Feb 2018
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 4 Jun 20177 Jun 2017

Publication series

NameVTS : Vehicular Technology Conference : VTC
PublisherIEEE
ISSN (Print)1550-2252

Conference

Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017
CountryAustralia
CitySydney
Period4/06/177/06/17

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).

Event

85th IEEE Vehicular Technology Conference, VTC Spring 2017

Duration4 Jun 20177 Jun 2017
CitySydney
CountryAustralia
Degree of recognitionInternational event

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at https://doi.org/10.1109/VTCSpring.2017.8108658 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 735 KB, PDF document

    Licence: Other

DOI

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