2007
DOI: 10.1002/ett.1202
|View full text |Cite
|
Sign up to set email alerts
|

Mobile TV — ‘Daumenkino’ gets reality

Abstract: SUMMARYMobile TV started almost 30 years ago as a research project, but only just recently TV-like services for mobile users on handheld devices have become reality. In this work, we want to give an overview of both the history and current advances in this highly active field of research, including unicast and broadcast media streaming over wireless channels and efficient forward error correction (FEC) mechanisms at the application layer.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2008
2008
2019
2019

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 22 publications
0
1
0
Order By: Relevance
“…For instance, the co‐channel interference plus additive noise in cellular networks having multitier heterogeneous architectures involving macrocells, microcells, femtocells, and cognitive radio channel follows GM distribution. In addition, beside the additive white Gaussian noise (AWGN), some communication systems, such as digital video broadcasting, power line communications (PLCs), underwater acoustics channels, and urban and indoor wireless channels, suffer from additional noise factor in the form of high energy short‐duration random bursts known as impulsive noise. Middleton class A and ε ‐mixture Gaussian, which includes Bernoulli‐Gaussian (BG) and Poisson‐Gaussian, are the two well‐known models developed for empirical modeling of the AWGN plus impulsive noises.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the co‐channel interference plus additive noise in cellular networks having multitier heterogeneous architectures involving macrocells, microcells, femtocells, and cognitive radio channel follows GM distribution. In addition, beside the additive white Gaussian noise (AWGN), some communication systems, such as digital video broadcasting, power line communications (PLCs), underwater acoustics channels, and urban and indoor wireless channels, suffer from additional noise factor in the form of high energy short‐duration random bursts known as impulsive noise. Middleton class A and ε ‐mixture Gaussian, which includes Bernoulli‐Gaussian (BG) and Poisson‐Gaussian, are the two well‐known models developed for empirical modeling of the AWGN plus impulsive noises.…”
Section: Introductionmentioning
confidence: 99%