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| Content Provider | Springer Nature Link |
|---|---|
| Author | Frikha, Mounir Bahria el Asghar, Nihed Kolsi, Ahmed |
| Copyright Year | 2007 |
| Abstract | L’expansion rapide des applications et des services dans les réseaux mobiles de 3$^{e}$ génération (3G) et l’augmentation de la concurrence entre les opérateurs a fait accroître le besoin d’améliorer la qualité de service (QoS) aussi bien pour les utilisateurs que pour les fournisseurs de services. L’objectif fondamental pour les opérateurs de réseau umts consiste à offrir à leurs usagers la meilleure QoS tout en garantissant une rentabilité maximale. Nous nous intéressons ici à fournir une approche visant d’atteindre cet objectif. Pour ce faire, nous nous sommes basés sur la gestion des paramètres réseaux, et bien particulièrement le débit. Notre objectif est d’offrir la plus bonne répartition de débit entre les utilisateurs (bit-rate balancing), tout en garantissant un équilibre de charge entre les différentes cellules (load balancing). Pour l’atteindre, nous nous sommes servis des notions d’ingénierie réseau et radio. Nous avons utilisé l’algorithme génétique pour l’optimisation de l’allocation des débits et nous avons proposé un nouveau processus d’équilibrage de débit et de charge.La différenciation des services a été effectuée par la définition d’une priorité selon les exigences des services en QoS.Afin de montrer la contribution de cette approche dans la pratique, nous l’avons simulé sur une plateforme de test d’un opérateur tunisien. Les résultats obtenus ont montré une augmentation du nombre d’utilisateurs connectés, des taux de blocage et de coupure très faibles et un meilleur équilibrage de charge (load balancing) entre les cellules.The fast expansion of the applications and services in the 3G mobile networks and the competition between the operators have increased the need to improve the QoS either for the subscribers or for the service providers. The umts operators’ principal goal is to guarantee their maximal benefit and offer the best QoS to the subscribers. Our work is funded on the optimisation of the network parameters, especially bit-rate.Our proposal’s goal is to offer the best rate distribution between the subscribers (bit-rate balancing) and to guarantee the load balancing between the network cells. It is based on network and radio engineering concepts. We used the genetic algorithm for the optimisation of the bit-rate allocation and we proposed a new process for the bit-rate and load balancing.The differentiation of the services treatment has been done by the definition of a priority based on each service requirements in QoS.To show the contribution of this approach in the practice, we simulated it on a Tunisian operator’s test platform model. The gotten results showed an increase of the connected users, some very weak blocking and call-drop rates and a better load balancing between the cells. |
| Starting Page | 1013 |
| Ending Page | 1034 |
| Page Count | 22 |
| File Format | |
| ISSN | 00034347 |
| Journal | Annales Des Télécommunications |
| Volume Number | 62 |
| Issue Number | 9-10 |
| e-ISSN | 19589395 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2007-01-01 |
| Publisher Place | Milan |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | umts Quality of Service Quality management Optimization Genetic algorithm Balancing Modeling Simulation Communications Engineering, Networks Information Systems and Communication Service Signal, Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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