Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Chang-Jenen_US
dc.contributor.authorWen, Chao-Kaien_US
dc.contributor.authorJin, Shien_US
dc.contributor.authorTsai, Shang-Hoen_US
dc.date.accessioned2018-08-21T05:53:52Z-
dc.date.available2018-08-21T05:53:52Z-
dc.date.issued2018-07-01en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TWC.2018.2830343en_US
dc.identifier.urihttp://hdl.handle.net/11536/145261-
dc.description.abstractMassive multiuser multiple-input multiple-output (MU-MIMO) systems are expected to he the core technology in fifth-generation wireless systems because they significantly improve spectral efficiency. However, the requirement for a large number of radio frequency (RF) chains results in high hardware costs and power consumption, which obstruct the commercial deployment of massive MIMO systems. A potential solution is to use low-resolution digital-to-analog converters (DAC)/analogto-digital converters for each antenna and RF chain. However, using low-resolution DACs at the transmit side directly limits the degree of freedom of output signals and thus poses a challenge to the precoding design. In this paper, we develop efficient and universal algorithms for a downlink massive MU-MIMO system with finite-alphabet precodings. Our algorithms are developed based on the alternating direction method of multipliers (ADMM) framework. The original ADMM does not converge in a nonlinear discrete optimization problem. The primary cause of this problem is that the alternating (update) directions in ADMM on one side are biased, and those on the other side are unbiased. By making the two updates consistent in an unbiased manner, we develop two algorithms called iterative discrete estimation (IDE) and IDE2. IDE demonstrates excellent performance and IDE2 possesses a significantly low computational complexity. Compared with state-of-the-art techniques, the proposed preceding algorithms present significant advantages in performance and computational complexity.en_US
dc.language.isoen_USen_US
dc.subjectMassive MIMOen_US
dc.subjectmultiuser MIMOen_US
dc.subjectprecedingen_US
dc.subjectlow-resolution DACen_US
dc.subjectdiscrete phase shifteren_US
dc.titleFinite-Alphabet Precoding for Massive MU-MIMO With Low-Resolution DACsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TWC.2018.2830343en_US
dc.identifier.journalIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.citation.volume17en_US
dc.citation.spage4706en_US
dc.citation.epage4720en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000438727700034en_US
Appears in Collections:Articles