MMSE based two-stage beamforming for large-scale multi-user MISO systems

In this paper, we study a joint spatial division multiplexing (JSDM) beamforming scheme which enables large-scale spatial multiplexing gains for massive MIMO downlink systems. In contrast to the conventional JSDM which employs a block diagonalization (BD) method as a pre-beamformer, we aim to maximi...

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Bibliographic Details
Published in2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) pp. 1 - 6
Main Authors Younghyun Jeon, Changick Song, Seungjoo Maeng, Myonghee Park, Inkyu Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Array signal processing
Covariance matrices
Downlink
Interference
MIMO
Multiplexing
Signal to noise ratio
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Summary:In this paper, we study a joint spatial division multiplexing (JSDM) beamforming scheme which enables large-scale spatial multiplexing gains for massive MIMO downlink systems. In contrast to the conventional JSDM which employs a block diagonalization (BD) method as a pre-beamformer, we aim to maximize sum-rate by applying minimum-mean-squared error (MMSE) approaches when designing a pre-beamformer and a multi-user precoder sequentially. First, to suppress inter-group interference, we design the pre-beamformer which minimizes an upper bound of the sum mean-squared-error in the large-scale array regime. Then, to mitigate same-group interference, we present the multi-user precoder based on the weighted MMSE (WMMSE) optimization method, which requires the same channel state information overhead as the conventional JSDM. Through simulation results, we confirm that the proposed two-step beamforming method brings substantial performance gains in terms of sum-rate over the conventional JSDM schemes especially in low to medium signal-to-noise ratio (SNR) regime.
ISSN:2166-9589
DOI:10.1109/PIMRC.2016.7794666