On the Use of Hybrid Heuristics for Providing Service to Select the Return Channel in an Interactive Digital TV Environment

The technologies used to link the end-user to a telecommunication infrastructure, has been changing over time due to the consolidation of new access technologies. Moreover, the emergence of new tools for information dissemination, such as interactive digital TV, makes the selection of access technology, factor of fundamental importance. One of the greatest advantages of using digital TV as means to disseminate information is the installation of applications. In this chapter, a load characterization of a typical application embedded in a digital TV is performed to determine its behavior. However, it is important to note that applications send information through an access technology. Therefore, this chapter, based on the study on load characterization, developed a methodology combining Bayesian networks and technique for order preference by similarity to ideal solution (TOPSIS) analytical approach to provide support to service providers to opt for a technology (power line communication, PLC, wireless, wired, etc.) for the return channel

Handover Architectures for Heterogeneous Networks Using the Media Independent Information Handover (MIH)

In heterogeneous networks, network selection by nature is a multi-dimensional problem. Many parameters need to be considered for handover decision making. Apart from handover accuracy and efficiency, an important consideration is the scalability and signaling overhead of such handover algorithms. In this article we propose to break down a Simple Additive Weighting (SAW) based heterogeneous handover algorithm in two parts. The execution of the first part is carried out in an independent and proactive manner prior to the actual handover, assuming three different handover architectures. The handover architectures are differentiated based upon the level of the distribution of the handover algorithm among multiple network components. The Media Independent Handover (MIH) and its different services are used to retrieve and share information among MIH enabled nodes and for conformity among heterogeneous network standards. The proposed algorithm is evaluated with respect to handover accuracy, handover delay efficiency and signaling overhead. The evaluation is carried out for all three handover architectures using simulations. Only handovers between Wi-Fi (IEEE 802.11) and WiMAX (IEEE 802.16) networks are considered. But the handover framework is general and can be extended to consider other wireless and mobile communication networks

Mobility management in 5G heterogeneous networks

In recent years, mobile data traffic has increased exponentially as a result of widespread popularity and uptake of portable devices, such as smartphones, tablets and laptops. This growth has placed enormous stress on network service providers who are committed to offering the best quality of service to consumer groups. Consequently, telecommunication engineers are investigating innovative solutions to accommodate the additional load offered by growing numbers of mobile users. The fifth generation (5G) of wireless communication standard is expected to provide numerous innovative solutions to meet the growing demand of consumer groups. Accordingly the ultimate goal is to achieve several key technological milestones including up to 1000 times higher wireless area capacity and a significant cut in power consumption. Massive deployment of small cells is likely to be a key innovation in 5G, which enables frequent frequency reuse and higher data rates. Small cells, however, present a major challenge for nodes moving at vehicular speeds. This is because the smaller coverage areas of small cells result in frequent handover, which leads to lower throughput and longer delay. In this thesis, a new mobility management technique is introduced that reduces the number of handovers in a 5G heterogeneous network. This research also investigates techniques to accommodate low latency applications in nodes moving at vehicular speeds

Optimisation et évaluation des performances des communications mobiles dans un environnement réseaux multi-accès

The next generation of networks represents a heterogeneous wireless environement,characterized by the coexistence of multiple technologies. In this environement, the users havethe privilege to stay connected to the Internet by using mobile terminals equiped with multipleinterfaces. Additionaly, the users have the ability to use different services at any time andany where. In this context, the most important aim is to manage the terminal mobility whileensuring the best continuity of services. In order to acheive this task, the design and the de-veloppement of architecture for the vertical handover management becomes an indispensable.This is focusing on vertical handover management and mainly on network selection decisionstep within heterogeneous wireless networks. In this context, our first contribution proposes anew architecture for network selection, based on multi attribut decision making (MADM). Thissolution is based on the IEEE 802.21 standard, contains two modules : the first one is usedto weigh the criteria. While the second is applied to rank the networks. Then, we consider theproblem of optimizing the weighiting algorithms of our architecture. Specifically, we first developpe a new validation approach which can take into account different weighting methods. Our approach is based on group MADM and it allows to determine a suitable weighting algorithmwhich can be used for the network selection. We then improve our architecture by introducingcomponent based on differentiated weight which can be integrated into wieghting module ofour architecture. This component allows to find the differentiate weights of available networksby considering each criterion. Finally, due to the variety of vertical handoff algorithms, we pro-vide a new evaluation model to reach an optimal network selection algorithm and to validateour architecture. This new model is based on multi attribut decision making and criticalityanalysis.Les réseaux de la future génération représentent un environnement hétérogène sans fil,dans lequel de nombreuses technologies d’accès peuvent cohabiter. Au sein de cet environne-ment, les utilisateurs ont le privilège de rester connectés à l’Internet à travers des terminauxmulti-interfaces. De plus, ils ont la possibilité de se doter de différents services, peu importele lieu et le temps. Afin de gérer la mobilité du terminal tout en assurant une meilleure conti-nuité de service, la mise en oeuvre d’une architecture pour la gestion du handover vertical estdevenue indispensable. Cette thèse se focalise sur le handover vertical, plus précisément sur laphase de la sélection du réseau dans un environnement de réseaux hétérogènes sans fil. Dansce contexte, notre première contribution propose une nouvelle architecture pour la sélectiondu réseau reposant sur les méthodes d’aide à la décision multi-attributs (MADM). Cette solu-tion, simple à intégrer dans la norme IEEE 802.21, comporte deux modules : le premier pourpondérer les critères et le deuxième pour classer les réseaux. Ensuite, nous nous intéressonsà la résolution de différents problèmes relatifs à la pondération des critères afin d’améliorerdavantage notre architecture. Pour ce faire, nous avons développé dans un premier temps, unenouvelle approche de la validation des algorithmes du handover en utilisant la théorie de laprise de décision collective. Cette nouvelle approche nous a permis d’identifier l’algorithme depondération qu’il faut intégrer dans notre architecture. Dans un deuxième temps, nous avonsintégré une nouvelle unité de différenciation de poids au niveau du module de pondérationde notre architecture. Le rôle de cette unité est de calculer le degré d’importance relatif àchaque critère en fonction de l’interface réseau. Finalement, nous proposons un nouveau mo-dèle d’évaluation de performances qui repose sur l’approche MADM et l’analyse de criticité.L’efficacité de ce modèle se manifeste dans sa capacité de valider notre architecture en termesde performances par rapport aux autres algorithmes existants. De plus, son second avantageest le fait de pallier le problème du choix de critères qu’il faut utiliser dans le contexte de lasélection du réseau