Paper Info
Title
Multi-branch lattice reduction successive interference cancellation detection for multiuser MIMO systems
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
DOI
Venue
2014
10.1109/ISWCS.2014.6933350
Wireless Communications Systems
Keywords
Field
DocType
MIMO communication,computational complexity,interference suppression,maximum likelihood estimation,MB technique,ML selection criterion,MU-MIMO systems,SIC,computational complexity,detection technique,lattice reduction transformation,maximum likelihood selection criterion,multibranch technique,multiuser multiple-input multiple-output systems,near-optimal performance,single LR transformation,successive interference cancellation,Multiuser MIMO systems,lattice reduction,multi-branch detection,successive interference cancellation
Lattice (order),Computer science,Matrix (mathematics),Control theory,Single antenna interference cancellation,MIMO,Algorithm,Communication channel,Real-time computing,Detector,Lattice reduction,Computational complexity theory
Conference
Citations 
PageRank 
References 
1
0.37
0
Authors
6
Name
Order
Citations
PageRank
Leonel Arevalo143.12
Rodrigo C. de Lamare21461179.59
Keke Zu31007.38
Raimundo Sampaio Neto415525.30
de Lamare, R.C.565233.42
Sampaio-Neto, R.6133.51