Low-complexity Hybrid Beamforming for MMSE-based Symbol-level Precoding in Multi-user MISO System

Data-aided symbol-level precoding can exploit constructure interference for improving the energy and system efficiency in the multiantenna downlink channel, where multiple users are simultaneously served over the same channel resources. This paper attempts at the end-to-end joint design of hybrid sy...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 72; H. 12; S. 1 - 16
Hauptverfasser:	Lee, Jaewon, Kang, Chung G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Array signal processing Beamforming Closed form solutions Complexity constructive interference gain constructive interference optimization (CIO) Exact solutions hybrid beamforming Interference Iterative methods minimum mean square error (MMSE) Multiuser MISO system Optimization Phase shift keying Power consumption Precoding Radio frequency Signal to noise ratio symbol-level precoding (SLP)
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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