On the achievable rates of decentralized equalization in massive MU-MIMO systems

Simple item page
dc.citation.journalTitle2017 IEEE International Symposium on Information Theory (ISIT)en_US
dc.contributor.authorJeon, Charlesen_US
dc.contributor.authorLi, Kaipengen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorStuder, Christophen_US
dc.date.accessioned2018-06-27T15:44:48Zen_US
dc.date.available2018-06-27T15:44:48Zen_US
dc.date.issued2017en_US
dc.description.abstractMassive multi-user (MU) multiple-input multiple-output (MIMO) promises significant gains in spectral efficiency compared to traditional, small-scale MIMO technology. Linear equalization algorithms, such as zero forcing (ZF) or minimum mean-square error (MMSE)-based methods, typically rely on centralized processing at the base station (BS), which results in (i) excessively high interconnect and chip input/output data rates, and (ii) high computational complexity. In this paper, we investigate the achievable rates of decentralized equalization that mitigates both of these issues. We consider two distinct BS architectures that partition the antenna array into clusters, each associated with independent radio-frequency chains and signal processing hardware, and the results of each cluster are fused in a feed forward network. For both architectures, we consider ZF, MMSE, and a novel, non-linear equalization algorithm that builds upon approximate message passing (AMP), and we theoretically analyze the achievable rates of these methods. Our results demonstrate that decentralized equalization with our AMP-based methods incurs no or only a negligible loss in terms of achievable rates compared to that of centralized solutions.en_US
dc.identifier.citationJeon, Charles, Li, Kaipeng, Cavallaro, Joseph R., et al.. "On the achievable rates of decentralized equalization in massive MU-MIMO systems." <i>2017 IEEE International Symposium on Information Theory (ISIT),</i> (2017) IEEE: https://doi.org/10.1109/ISIT.2017.8006699.en_US
dc.identifier.doihttps://doi.org/10.1109/ISIT.2017.8006699en_US
dc.identifier.urihttps://hdl.handle.net/1911/102306en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE.en_US
dc.titleOn the achievable rates of decentralized equalization in massive MU-MIMO systemsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
17ISIT-decentralized.pdf
Size:
613.21 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Faculty Publications
ECE Publications