NDLI: Asymptotically optimal simple user scheduling for massive MIMO downlink with two-stage beamforming

Content Provider	IEEE Xplore Digital Library
Author	Gilwon Lee Youngchul Sung
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., KAIST, Daejeon, South Korea (Gilwon Lee; Youngchul Sung)
Abstract	In this paper, a simple user-scheduling-and-beamforming method is proposed for massive multi-user multiple-input multiple-output (MU-MIMO) downlink adopting two-stage beamforming. The key ideas of the proposed scheduling-and-beamforming method are to divide users into several candidate subsets according to the level of alignment of user channels to the dominant directions of the channel covariance matrix and select the user in each candidate subset based on a certain channel quality indicator (CQI) and to apply post-selection zero-forcing beamforming (ZFBF) to the selected users based on their channel state information (CSI). It is proved that the proposed scheduling-and-beamforming method is asymptotically optimal as the number of users increases. Furthermore, the proposed method significantly reduces the feedback overhead and shows superior sum rate performance compared to existing scheduling methods for MU-MIMO downlink.
Starting Page	60
Ending Page	64
File Size	339821
Page Count	5
File Format	PDF
ISBN	9781479949038
DOI	10.1109/SPAWC.2014.6941317
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Covariance matrices Vectors MIMO Downlink Interference Wireless communication
Content Type	Text
Resource Type	Article

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