2016
DOI: 10.1109/lcomm.2016.2602210
|View full text |Cite
|
Sign up to set email alerts
|

Low-Complexity Signal Detection for Large-Scale Quadrature Spatial Modulation Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
22
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 27 publications
(22 citation statements)
references
References 18 publications
0
22
0
Order By: Relevance
“…To remove the dependency of (20) on the instantaneous value of R m-M , an expectation over the pdf of R m-M should be calculated. (15) can be written in terms of its real and imaginary components as…”
Section: A Perfect Channel State Information At the Receivermentioning
confidence: 99%
See 1 more Smart Citation
“…To remove the dependency of (20) on the instantaneous value of R m-M , an expectation over the pdf of R m-M should be calculated. (15) can be written in terms of its real and imaginary components as…”
Section: A Perfect Channel State Information At the Receivermentioning
confidence: 99%
“…This algorithm requires an exhaustive pre-processing step to calculate the pseudo-inverse of the channel matrix columns. This step is mitigated in [15] by considering a sparse channel of a large-scale MIMO system. However, the problem of noise variance dependency still exists in [15].…”
mentioning
confidence: 99%
“…In recent works, some low complexity algorithms have been presented for MIMO, SM, and QSM signal detection [10,13,19]. In the works presented by [14,16], optimization algorithms and trigonometric functions were required in the receiver to detect the most likely antenna combinations.…”
Section: Low Complexity Detection Algorithmmentioning
confidence: 99%
“…Some previous works have analyzed this problem for basic QSM transmission schemes. For example, low complexity QSM detectors that consider compressive sensing [13,14], sphere decoding [15], minimum mean squared error (MMSE) [16], equivalent maximum likelihood [17], and zero forcing precoding [18] based low complexity detectors have been recently proposed. However, to the best of our knowledge, practical implementations of hardware architectures for the detection process in MIMO-QSM systems have not been discussed.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the QSM design efforts have been mainly focused on the performance analysis [6]- [7], on its coherent vs non-coherent detection [8]- [9], as well as on its extension to multi-carrier transmission [10]. In order to exploit the diversity gain of the QSM and SM system, the diversity oriented QSM and SM designs were investigated in [11]- [14].…”
Section: Introductionmentioning
confidence: 99%