Paper Info
Title
A Review Of Fixed-Complexity Vector Perturbation For Mu-Mimo
Abstract
Recently, there has been an increasing demand of high data rates services, where several multiuser multiple-input multiple-output (MU-MIMO) techniques were introduced to meet these demands. Among these techniques, vector perturbation combined with linear precoding techniques, such as zero-forcing and minimum mean-square error, have been proven to be efficient in reducing the transmit power and hence, perform close to the optimum algorithm. In this paper, we review several fixed-complexity vector perturbation techniques and investigate their performance under both perfect and imperfect channel knowledge at the transmitter. Also, we investigate the combination of block diagonalization with vector perturbation outline its merits.
Year
DOI
Venue
2015
10.3745/JIPS.03.0035
JOURNAL OF INFORMATION PROCESSING SYSTEMS
Keywords
Field
DocType
Block Diagonalization, MU-MIMO, Perfect and Imperfect Channel Knowledge, Quantization, Vector Perturbation
Dirty paper coding,Transmitter power output,Telecommunications,Multi-user MIMO,Computer science,Communication channel,Algorithm,Real-time computing,Interference (wave propagation),Quantization (signal processing),Precoding,Telecommunications link
Journal
Volume
Issue
ISSN
11
3
1976-913X
Citations 
PageRank 
References 
1
0.36
12
Authors
1
Name
Order
Citations
PageRank
Manar Mohaisen19728.83