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dc.contributor.authorTai, Tzu-Haoen_US
dc.contributor.authorChen, Hsin-Jungen_US
dc.contributor.authorChung, Wei-Hoen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.date.accessioned2018-08-21T05:57:10Z-
dc.date.available2018-08-21T05:57:10Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/147148-
dc.description.abstractMassive multiuser multi-input multi-output (MUMIMO) system adopting large amount of antennas is a promising technique to improve spectral efficiency and energy efficiency for next generation wireless communication systems. In practice, the channels composed of pairs of transmit and receive antennas are often correlated and computational complexity is one of the critical concern in implementation issue. Hence, antenna selection techniques can be adopted to improve system performance. In this paper, we propose a norm-and-correlation-based selection algorithm for energy efficiency maximization to decide transmit RF chain configuration under the total power constraint in massive MU-MIMO systems.en_US
dc.language.isoen_USen_US
dc.subjectEnergy efficiencyen_US
dc.subjectantenna selectionen_US
dc.subjectmultiuser MIMOen_US
dc.titleEnergy Efficient Norm-and-Correlation-based Antenna Selection Algorithm in Spatially Correlated Massive Multi-User MIMO Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS)en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000427392400022en_US
Appears in Collections:Conferences Paper