Hybrid precoding for millimetre wave MIMO systems based on particle swarm optimisation

Millimetre wave (mmWave) multiple-input multiple-output (MIMO) systems have been proposed to enable Gbps communication for next-generation cellular systems and local area networks. To compensate for the severe propagation loss of the mmWave channel, a cost-effective hybrid precoding architecture, co...

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Bibliographic Details
Published in:	IET communications Vol. 13; no. 11; pp. 1643 - 1650
Main Authors:	Cui, Mingyang, Zou, Weixia, Wang, Ye, Zhang, Ran
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 16.07.2019
Subjects:	analogue precoder analogue precoding cellular radio channel coding concave programming cost‐effective hybrid precoding architecture digital precoder digital precoding fully connected structures hybrid precoding algorithms hybrid precoding structures least squares solution local area networks millimetre wave communication millimetre wave MIMO systems millimetre wave multiple‐input multiple‐output systems MIMO communication mmWave channel mmWave MIMO systems next‐generation cellular systems nonconvex constraints partially connected structures particle swarm optimisation particle swarm optimisation algorithm precoding PSO algorithm Research Article severe propagation loss wireless channels particle swarm optimisation channel coding digital precoder PSO algorithm digital precoding local area networks precoding millimetre wave multiple-input multiple-output systems cost-effective hybrid precoding architecture millimetre wave MIMO systems partially connected structures next-generation cellular systems least squares solution nonconvex constraints mmWave MIMO systems mmWave channel wireless channels analogue precoder MIMO communication concave programming hybrid precoding algorithms particle swarm optimisation algorithm millimetre wave communication hybrid precoding structures analogue precoding severe propagation loss fully connected structures cellular radio
ISSN:	1751-8628, 1751-8636
Online Access:	Get full text
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