Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO
Asaad S, Bereyhi A, Müller R, Schaefer RF (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-September
Conference Proceedings Title: IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Event location: Istanbul
ISBN: 9781538681107
DOI: 10.1109/PIMRC.2019.8904210
Abstract
Joint user selection and precoding in multiuser MIMO settings can be interpreted as group sparse recovery in linear models. In this problem, a signal with group sparsity is to be reconstructed from an underdetermined system of equations. This paper utilizes this equivalent interpretation and develops a computationally tractable algorithm based on the method of group LASSO. Compared to the state of the art, the proposed scheme shows performance enhancements in two different respects: higher achievable sum-rate and lower interference at the non-selected user terminals.
Authors with CRIS profile
Saba Asaad
Lehrstuhl für Digitale Übertragung
Ali Bereyhi
Professur für Informationsübertragung
Ralf Müller
Professur für Informationsübertragung
Involved external institutions
Germany (DE)How to cite
APA:
Asaad, S., Bereyhi, A., Müller, R., & Schaefer, R.F. (2019). Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC. Istanbul, TR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Asaad, Saba, et al. "Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO." Proceedings of the 30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019, Istanbul Institute of Electrical and Electronics Engineers Inc., 2019.
BibTeX: Download