2017 23rd Asia-Pacific Conference on Communications (APCC) 2017
DOI: 10.23919/apcc.2017.8303999
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Hybrid precoding for multi-user mmWave systems based on MMSE criterion

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Cited by 11 publications
(10 citation statements)
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“…As a result, the problem with this approach is also the size of codebooks. In [20] estimates analog and digital precoding via the general eigenvalue decomposition (GEVD) method. However, complexity is also a significant drawback.…”
Section: Literature Surveymentioning
confidence: 99%
“…As a result, the problem with this approach is also the size of codebooks. In [20] estimates analog and digital precoding via the general eigenvalue decomposition (GEVD) method. However, complexity is also a significant drawback.…”
Section: Literature Surveymentioning
confidence: 99%
“…1) Digital Precoder Design: We first fix V RF and optimize β and V D . As shown in [7], the original precoder V D can be separated as V D = β −1 V D , where V D is an unconstrained baseband precoder and β has the function of guaranteeing the transmit power constraint. Based on the KKT conditions, it can be shown that the optimal V D and β are given by 2) Analog Precoder Design: By substituting the above optimal digital precoder into the sum-MSE and using the matrix inversion lemma, we have…”
Section: A Hybrid Precoder Designmentioning
confidence: 99%
“…More recently, the authors in [6] investigated the the orthogonal matching pursuit (OMP) based HBF algorithm under the minimum mean square error (MMSE) criterion. To enhance the performance, in [7], the authors proposed a nearoptimal multiuser MMSE HBF scheme in MISO scenario.…”
Section: Introductionmentioning
confidence: 99%
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“…In particular, the only difference here is the analog combiner design, which is selected separately at each MS, while the analog precoders are jointly designed for the entire MSs at BS. To enhance the spectral efficiency, in a previous work, the authors directly solved the MMSE‐based hybrid precoding problem by using the general eigenvalue decomposition (GEVD) algorithm. To minimize the error between the hybrid equalizer and the baseband equalizer, in Nguyen et al, the MMSE‐based hybrid combiner was implemented with the same method as that in previous studies .…”
Section: Introductionmentioning
confidence: 99%