DocumentCode
3588068
Title
Beamforming-based spatial precoding in FDD massive MIMO systems
Author
Ming-Fu Tang ; Meng-Ying Lee ; Borching Su ; Chia-Pang Yen
Author_Institution
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2014
Firstpage
2073
Lastpage
2077
Abstract
In order to enable frequency-division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, a beam-grouping, precoding and feedback scheme is proposed to reduce the downlink training overhead and channel state information (CSI) feedback overhead. When the number of transmit antennas on a base station (BS) is growing large, the downlink training overhead for CSI estimation and the CSI feedback overhead are growing tremendously. In addition to the downlink training overhead, simulation results show that the proposed method is able to reduce the feedback overhead without sacrificing the downlink achievable information rate (AIR). Furthermore, the proposed method has a lower computation complexity comparing with other methods in the recent literature.
Keywords
MIMO communication; array signal processing; channel estimation; computational complexity; feedback; precoding; transmitting antennas; wireless channels; AIR; BS; CSI estimation; CSI feedback overhead reduction; FDD massive MIMO system; achievable information rate; base station; beamforming-based spatial precoding; channel state information feedback overhead reduction; computation complexity; downlink training overhead reduction; frequency division duplex massive multiple input multiple output system; transmit antenna; Antennas; Channel estimation; Downlink; MIMO; Niobium; OFDM; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN
978-1-4799-8295-0
Type
conf
DOI
10.1109/ACSSC.2014.7094838
Filename
7094838
Link To Document