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dc.contributor.authorChen, Kuo-Mingen_US
dc.contributor.authorPan, Yun-Hanen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.date.accessioned2019-04-02T06:04:32Z-
dc.date.available2019-04-02T06:04:32Z-
dc.date.issued2018-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/151043-
dc.description.abstractCommunications using the millimeter wave (mmWave) spectrum are a mainstream technology of the next generation systems. However, the mmWave band will experience much more propagation loss than a low frequency band. Therefore, a mmWave system will adopt beamforming techniques to compensate the high propagation. Moreover, hybrid beamforming which combines analog precoder and digital beamforming is a potential candidate for multi-input multi-output (MEMO) systems with massive scale for mmWave hand because of its low hardware complexity. In this paper, we propose a novel beam selection method that ensures the service quality of user equipment (LIE) and mitigates any interference between equipments to provide near performance upper bound and the method overcomes the high costs and complexity of mmWave systems. We evaluate the advantage of the proposed method via sum-rate and complexity computations. Simulation results show that the proposed method can offer significant reductions for massive-scale MIMO mmWave systems. In general, we show that the proposed method achieves a high quality solution, which is almost the same as the performance upper hound.en_US
dc.language.isoen_USen_US
dc.subjectmmWaveen_US
dc.subjectmultiuser MIMOen_US
dc.subjecthybrid precodingen_US
dc.subjectbeamformingen_US
dc.subjectbeam selectionen_US
dc.subjectsum-rate maximizationen_US
dc.titleLow-Complexity Beam Selection for Hybrid Precoded Multi-User mmWave Communicationsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC)en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000458764500070en_US
dc.citation.woscount0en_US
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