Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/PIMRC.2019.8904210 | PIMRC |
Keywords | Field | DocType |
User selection, precoding, group LASSO, massive MIMO | Mimo systems,Computer science,Group lasso,Computer network,Computer engineering,Precoding | Conference |
ISSN | Citations | PageRank |
2166-9570 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saba Asaad | 1 | 19 | 7.16 |
| Ali Bereyhi | 2 | 37 | 14.09 |
| R. Muller | 3 | 1206 | 124.92 |
| Rafael F. Schaefer | 4 | 165 | 35.85 |