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An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications

Wang, Dongming, Zhang, Yu, Wei, Hao, You, Xiaohu, Gao, Xiqi, Wang, Jiangzhou (2016) An overview of transmission theory and techniques of large-scale antenna systems for 5G wireless communications. Science China Information Sciences, . ISSN 1674-733X. (doi:10.1007/s11432-016-0278-5) (KAR id:55845)

Abstract

To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input multiple-output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation.

Item Type: Article
DOI/Identification number: 10.1007/s11432-016-0278-5
Uncontrolled keywords: the fifth generation mobile communication – massive MIMO – large-scale distributed antenna systems – spectral efficiency – channel state information acquisition – multi-user MIMO – resource allocation
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Tina Thompson
Date Deposited: 08 Jun 2016 08:33 UTC
Last Modified: 09 Dec 2022 01:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/55845 (The current URI for this page, for reference purposes)

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