Name
Abstract | ||
|---|---|---|
In this paper, we propose a new detection technique for multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed scheme combines a lattice reduction (LR) transformation, which makes the channel matrix nearly orthogonal, and then employs a multi-branch (MB) technique with successive interference cancellation (SIC). A single LR transformation is required for the receive filters of all branches in the scheme, which proposes a different ordering for each branch and generates a list of detection candidates. The best vector of estimated symbols is chosen according to the maximum likelihood (ML) selection criterion. Simulation results show that the proposed detection structure has a near-optimal performance while the computational complexity is much lower than that of the ML detector. |
Year | Venue | Field |
|---|---|---|
2014 | arXiv: Information Theory | Mimo systems,Mathematical optimization,Matrix (mathematics),Single antenna interference cancellation,Algorithm,Maximum likelihood,Communication channel,Theoretical computer science,Detector,Lattice reduction,Mathematics,Computational complexity theory |
DocType | Volume | Citations |
Journal | abs/1412.2176 | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leonel Arevalo | 1 | 4 | 3.12 |
| Rodrigo C. de Lamare | 2 | 1461 | 179.59 |
| Raimundo Sampaio Neto | 3 | 155 | 25.30 |