Stochastic Successive Convex Optimization for Two-Timescale Hybrid Precoding in Massive MIMO

Hybrid precoding, which consists of an RF precoder and a baseband precoder, is a popular precoding architecture for massive multiple-input multiple-output (MIMO) due to its low hardware cost and power consumption. In conventional hybrid precoding, both RF and baseband precoders are adaptive to the r...

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Vydané v:	IEEE journal of selected topics in signal processing Ročník 12; číslo 3; s. 432 - 444
Hlavní autori:	Liu, An, Lau, Vincent K. N., Zhao, Min-Jian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Baseband Broadband Computational geometry Convexity Massive multiple-input multiple-output (MIMO) MIMO communication Optimization Power consumption Precoding Radio frequency Real-time systems Signal processing algorithms Subcarriers successive convex approximation Time two-timescale hybrid precoding
ISSN:	1932-4553, 1941-0484
On-line prístup:	Získať plný text
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