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 :
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