Decentralized Baseband Processing for Massive MU-MIMO Systems

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dc.citation.firstpage491en_US
dc.citation.issueNumber4en_US
dc.citation.journalTitleIEEE Journal on Emerging and Selected Topics in Circuits and Systemsen_US
dc.citation.lastpage507en_US
dc.citation.volumeNumber7en_US
dc.contributor.authorLi, Kaipengen_US
dc.contributor.authorSharan, Rishien_US
dc.contributor.authorChen, Yujunen_US
dc.contributor.authorGoldstein, Tomen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.authorStuder, Christophen_US
dc.date.accessioned2017-11-29T16:35:27Zen_US
dc.date.available2017-11-29T16:35:27Zen_US
dc.date.issued2017en_US
dc.description.abstractAchieving high spectral efficiency in realistic massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems requires computationally-complex algorithms for data detection in the uplink (users transmit to base-station) and beamforming in the downlink (base-station transmits to users). Most existing algorithms are designed to be executed on centralized computing hardware at the base-station (BS), which results in prohibitive complexity for systems with hundreds or thousands of antennas and generates raw baseband data rates that exceed the limits of current interconnect technology and chip I/O interfaces. This paper proposes a novel decentralized baseband processing architecture that alleviates these bottlenecks by partitioning the BS antenna array into clusters, each associated with independent radio-frequency chains, analog and digital modulation circuitry, and computing hardware. For this architecture, we develop novel decentralized data detection and beamforming algorithms that only access local channel-state information and require low communication bandwidth among the clusters. We study the associated trade-offs between error-rate performance, computational complexity, and interconnect bandwidth, and we demonstrate the scalability of our solutions for massive MU-MIMO systems with thousands of BS antennas using reference implementations on a graphic processing unit (GPU) cluster.en_US
dc.identifier.citationLi, Kaipeng, Sharan, Rishi, Chen, Yujun, et al.. "Decentralized Baseband Processing for Massive MU-MIMO Systems." <i>IEEE Journal on Emerging and Selected Topics in Circuits and Systems,</i> 7, no. 4 (2017) IEEE: 491-507. https://doi.org/10.1109/JETCAS.2017.2775151.en_US
dc.identifier.digital17JETCAS_DBP_finalen_US
dc.identifier.doihttps://doi.org/10.1109/JETCAS.2017.2775151en_US
dc.identifier.urihttps://hdl.handle.net/1911/98867en_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.titleDecentralized Baseband Processing for Massive MU-MIMO Systemsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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