Loading...
Loading...

Go to the content (press return)

Interference statistics approximations for data rate analysis in uplink massive MTC

Author
Liesegang, S.; Muñoz, O.; Pascual Iserte, A.
Type of activity
Presentation of work at congresses
Name of edition
6th IEEE Global Conference on Signal and Information Processing
Date of publication
2018
Presentation's date
2018-11
Book of congress proceedings
2018 IEEE Global Conference on Signal and Information Processing: GlobalSIP 2018: proceedings, November 26–29, 2018, Anaheim, California, USA
First page
176
Last page
180
DOI
10.1109/GlobalSIP.2018.8646658
Project funding
Grup de processament del senyal i comunicacions
Radio techologies for ultra-dense networks in the 5G and beyond (5G&B) era
Repository
http://hdl.handle.net/2117/132454 Open in new window
URL
https://ieeexplore.ieee.org/document/8646658 Open in new window
Abstract
Machine-type-communications have attracted a lot of interest in the past years. They rely on interactions between devices with no human supervision. This will help to the advent of a plethora of applications such as the Internet-of-Things. Part of the research within this field deals with coordinating the access of a large number of devices to the network, the so-called \textit{massive} machine-type-communications. In this paper, we focus on the evaluation of the data rate for that scenario, bas...
Keywords
Bernoulli, Chernoff bound, Lyapunov’s condition, Machine-type-communications, average data rate
Group of research
SPCOM - Signal Processing and Communications Group

Participants