Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO
Information Theory
2019-10-25 v1 math.IT
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.
Cite
@article{arxiv.1910.10967,
title = {Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO},
author = {Saba Asaad and Ali Bereyhi and Ralf R. Muller and Rafael F. Schaefer},
journal= {arXiv preprint arXiv:1910.10967},
year = {2019}
}