A multi-scale statistical control process for mobility and interference identification in IEEE 802.11.
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Date
2009
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Abstract
The user centric nature of mobile devices
is an important issue for enhancing the user experience
in a mobile wireless communication. A strategy
for improving such experience consists of applying a
resource management focused in providing both the
user and the application valuable information about
the network context. The communication quality in
wireless systems heavily depends on several factors, and
adjusting the application and/or alerting the user about
the network conditions is an important service when
managing this type of devices. The quality perceived
by the user depends on the network context, which can
be defined as the events that have significant impact
on the wireless communication. The identification of
the wireless channel behavior is necessary for obtaining
a context description. Due to intrinsic features at
the wireless signal propagation it is difficult to measure
and assess the fundamental wireless network context,
e.g., predicting when low quality signal is being
caused by interference or fading effects. This work
presents a new method for user centric management on IEEE 802.11b/g: a strategy for communication survival,
focused in improving the user experience. Our proposal
uses a multi-scale control chart approach, MCEWMA –
Moving Centerline Exponential Weighted Moving Average,
associated with multi-resolution analysis using a
wavelet transform.
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Wavelets
Citation
OLIVEIRA, R. A. R.; LOUREIRO, A. A. F.; FREERY, A. C. A multi-scale statistical control process for mobility and interference identification in IEEE 802.11. Mobile networks and applications, Dordrecht, v. 14, p. 725-743, dez. 2009. Disponível em: <http://link.springer.com/article/10.1007/s11036-008-0125-6>. Acesso em: 20 fev. 2017.