C-Curve: A Finite Alphabet Based Parameter Choice Rule for Elastic-Net in Sporadic Communication

Author

Schepker, H.F. ; Bockelmann, C. ; Dekorsy, Armin ; Bartels, A. ; Trede, D. ; Kazimierski, K.S.

Author_Institution

Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany

Volume

18

Issue

8

fYear

2014

fDate

Aug. 2014

Firstpage

1443

Lastpage

1446

Abstract

Sporadic machine-to-machine communication requires a signaling efficient medium access strategy, which can be achieved by compressed sensing based multi-user detection (CS-MUD). This novel application for Compressed Sensing requires adapted reconstruction algorithms considering typical communications assumptions. In order to get fast signal reconstruction, we utilize a smoothed version of the ℓ₁-regularization, namely, the elastic-net. Further, we connect this approach with a final projection step to incorporate finite alphabets and introduce a new parameter choice strategy for the elastic-net: the so-called C-curve.

Keywords

compressed sensing; signal reconstruction; C-curve; CS-MUD; adapted reconstruction algorithms; compressed sensing based multi-user detection; finite alphabet based parameter choice rule; medium access strategy; signal reconstruction; smoothed version; sporadic machine-to-machine communication; Compressed sensing; Matching pursuit algorithms; Minimization; Quantization (signal); Tuning; Vectors; CS-MUD; Compressed sensing; elastic-net; multi-user detection; sporadic communication;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2014.2329487

Filename

6827168