Paper Info
Title
Lattice-reduction-aided signal detection in spatial multiplexing MIMO–GFDM systems
Abstract
Generalized Frequency Division Multiplexing (GFDM) is a promising candidate waveform for the air interface of the Fifth Generation (5G) communication networks. The flexibility of GFDM enables it to meet different application requirements of future networks. Nevertheless, the combination of GFDM and Multiple-Input Multiple-Output (MIMO) systems using Spatial Multiplexing (SM) is a necessity to achieve high spectral efficiency. However, spatial demultiplexing using common SM detection algorithms becomes an even more challenging task due to the inherent self-interference of GFDM. In this paper, we investigate a class of Lattice-Reduction-Aided (LRA) signal detection algorithms that can achieve an attractive tradeoff between performance and complexity in MIMO–GFDM systems. Simulation results show that with less increase in complexity, LRA algorithms can greatly improve the performance of the classical linear detector.
Year
DOI
Venue
2019
10.1016/j.phycom.2018.12.015
Physical Communication
Keywords
Field
DocType
GFDM,MIMO,Spatial multiplexing,Lattice reduction
Telecommunications network,Detection theory,Computer science,MIMO,Electronic engineering,Real-time computing,Air interface,Multiplexing,Detector,Spatial multiplexing,Lattice reduction
Journal
Volume
ISSN
Citations 
33
1874-4907
0
PageRank 
References 
Authors
0.34
19
4
Name
Order
Citations
PageRank
Wei Zhang100.34
Zhimin Zhang25411.10
Lin Qi332.16
Zheng Dou49611.53