Titre : |
Management of joint radio resources in heterogeneous networks Beyond 3G. |
Type de document : |
document multimédia |
Auteurs : |
fayssal BENDAOUD |
Année de publication : |
2017 |
Importance : |
126p. |
Présentation : |
ill. |
Format : |
30cm. |
Langues : |
Français (fre) |
Mots-clés : |
radio resources in heterogeneous networks Beyond 3G. |
Résumé : |
Heterogeneous Wireless Networks (HWNs) is a term referring to mixed networks made of different
Radio Access Technologies (RATs) which aims to achieve the Always Best Connected
concept (ABC). Users with multi-mode terminals can connect to dierent radio access technologies
such as 802.16, 802.11, HSPA and LTE at the same time. The challenge consists of
the choice of the suitable access network from the available RATs list; the decision process is
called the Network Selection (NS). The network selection process depends on several parameters
such as QoS, mobility, cost, energy battery etc. Several methods and approaches have
been proposed to address this issue. Two main contributions are presented in this thesis,
the rst one called modied-SAW function to deal with the drawbacks of the legacy SAW,
the proposed solution outperforms almost all the famous Multi Attribute Decision Making
methods and eliminates the problem of rank reversal. The second contribution consists of
presenting a framework that allows the users to select the best networks for the whole call
session, especially from a mobility perspective. The framework consists of several steps,
starting by the path prediction which is done using the Markov model order 2. The second
step is to make the network selection on the zones of each predicted path, while the third
step is to get the good RAT conguration for each predicted path. We use another function
to select one of the best congurations to be used for all the possible used paths. The results
show that our proposal performs very well by eliminating the unnecessary vertical handovers
while maintaining a good Quality of Service (QoS). |
Management of joint radio resources in heterogeneous networks Beyond 3G. [document multimédia] / fayssal BENDAOUD . - 2017 . - 126p. : ill. ; 30cm. Langues : Français ( fre)
Mots-clés : |
radio resources in heterogeneous networks Beyond 3G. |
Résumé : |
Heterogeneous Wireless Networks (HWNs) is a term referring to mixed networks made of different
Radio Access Technologies (RATs) which aims to achieve the Always Best Connected
concept (ABC). Users with multi-mode terminals can connect to dierent radio access technologies
such as 802.16, 802.11, HSPA and LTE at the same time. The challenge consists of
the choice of the suitable access network from the available RATs list; the decision process is
called the Network Selection (NS). The network selection process depends on several parameters
such as QoS, mobility, cost, energy battery etc. Several methods and approaches have
been proposed to address this issue. Two main contributions are presented in this thesis,
the rst one called modied-SAW function to deal with the drawbacks of the legacy SAW,
the proposed solution outperforms almost all the famous Multi Attribute Decision Making
methods and eliminates the problem of rank reversal. The second contribution consists of
presenting a framework that allows the users to select the best networks for the whole call
session, especially from a mobility perspective. The framework consists of several steps,
starting by the path prediction which is done using the Markov model order 2. The second
step is to make the network selection on the zones of each predicted path, while the third
step is to get the good RAT conguration for each predicted path. We use another function
to select one of the best congurations to be used for all the possible used paths. The results
show that our proposal performs very well by eliminating the unnecessary vertical handovers
while maintaining a good Quality of Service (QoS). |
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