Gradient based decentralized joint beamforming

Jarkko Kaleva, Antti Tölli, Markku Juntti, Randall A Berry, Michael L Honig

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

1 Scopus citations

Abstract

Gradient based downlink beamforming with low computational complexity and training overhead is proposed for joint processing (JP) coordinated multi-point transmission (CoMP). Pilot contamination and estimation noise are taken into account in the pilot based transceiver training process. The proposed designs enable decentralized JP when the backhaul and computational limitations do not allow centralized processing. The impact of backhaul quantization is also considered. The stochastic gradient based designs are shown to be more robust to feedback quantization when compared to more complex methods. The trade-off between the implementation complexity and performance is established for the proposed algorithms. The results show that low complexity decentralized JP CoMP is feasible even with limited backhaul capacity.

Original languageEnglish (US)
Title of host publication2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Subtitle of host publicationEngaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538635315
DOIs
StatePublished - Feb 14 2018
Event28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 - Montreal, Canada
Duration: Oct 8 2017Oct 13 2017

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2017-October

Other

Other28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
CountryCanada
CityMontreal
Period10/8/1710/13/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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