• Home
  • About us
  • Your Publication
  • Catalogue
  • Newsletter
  • Help
  • Account
  • Contact / Imprint
Thesis - Publication series - Conference proceedings - Reference book - Lecture notes/Textbook - Journal - CD-/DVD-ROM - Online publication
Newsletter for authors and editors - New publications service - Archive
View basket
Catalogue : Details

Fabian Monsees

Signal Processing for Compressed Sensing Multiuser Detection

FrontBack
 
ISBN:978-3-8440-5877-2
Series:Dissertationen aus dem Arbeitsbereich Nachrichtentechnik der Universität Bremen
Herausgeber: Prof. Dr.-Ing. Armin Dekorsy
Bremen
Volume:5
Keywords:Signal Processing; Compressed Sensing; Multiuser Detection; Machine to Machine Communication; Machine Type Communication; Bayesian Inference
Type of publication:Thesis
Language:English
Pages:214 pages
Figures:63 figures
Weight:318 g
Format:21 x 14,8 cm
Bindung:Paperback
Price:49,80 € / 62,30 SFr
Published:April 2018
Buy:
  » plus shipping costs
Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.

 
 DocumentDocument 
 TypePDF 
 Costs37,35 EUR 
 ActionPurchase in obligation and display of file - 1,7 MB (1769401 Byte) 
 ActionPurchase in obligation and download of file - 1,7 MB (1769401 Byte) 
     
 
 DocumentTable of contents 
 TypePDF 
 Costsfree 
 ActionDisplay of file - 186 kB (190118 Byte) 
 ActionDownload of file - 186 kB (190118 Byte) 
     

User settings for registered users

You can change your address here or download your paid documents again.

User:  Not logged in.
Actions:  Login / Register
 Forgotten your password?
Recommendation:You want to recommend this title?
Review copy:Here you can order a review copy.
Link:You want to link this page? Click here.
Export citations:
Text
BibTex
RIS
Abstract:The era of human based communication was longly believed to be the main driver for the development of communication systems. Already nowadays we observe that other types of communication impact the discussions of how future communication system will look like. One emerging technology in this direction is machine to machine (M2M) communication. M2M addresses the communication between autonomous entities without human interaction in mind.
A very challenging aspect is the fact that M2M strongly differ from what communication system were designed for. Compared to human based communication, M2M is often characterized by small and sporadic uplink transmissions with limited data-rate constraints.

Within this thesis physical layer concepts are introduced for a novel medium access technology tailored to the demands of M2M. This concept combines advances from the field of sporadic signal processing and communications. The main idea is to exploit the sporadic structure of the M2M traffic to design physical layer algorithms utilizing this side information. This concept is known as Compressed Sensing Multiuser Detection (CS-MUD).