Optimization Of Vertical Handover Decision Processes For Fourth Generation Heterogeneous Wireless Networks
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| Author | : Xiaohuan Yan |
| Publisher | : |
| Total Pages | : 165 |
| Release | : 2010 |
| Genre | : Cell phone systems |
| ISBN | : |
This thesis presents a vertical handover decision (VHD) scheme for optimizing the efficiency of vertical handover processes in the Fourth Generation (4G) heterogeneous wireless networks. The scheme consists of three closely integrated modules: Handover necessity estimation, handover target selection, and handover triggering condition estimation. Handover necessity estimation module determines whether a handover is necessary to an available network. Handover target selection module chooses the ``best'' network among th eavailable candidates based on a set of criteria. Finally,handover triggering condition estimation module determines the right moment to initiate a handover out of the currently connected network.4G wireless networks are expected to support mechanisms for tight integration and cooperation of divergent access network technologies. In such networks of heterogeneous nature, roaming users will experience frequent handovers across network boundaries. Thus, to ensure seamless roaming and efficient resource usage over dissimilar networks, intelligent VHD algorithms need to be used extensively. The research project presented in this thesis report focuses on this problem and provides an optimized VHD scheme, which minimizes the handover failures, unnecessary handovers and connection breakdowns whilst maintaining users' satisfaction at high levels. In addition,the scheme also provides mechanisms for mobile applications to control the tradeoff between the usage of the preferred access network and number of handovers or connection breakdowns.Simulation based performance evaluations demonstrate that the scheme reduces the number of handover failures, unnecessary handovers and connection breakdowns by up to 80%, 70% and 70%, respectively. They also show an increase of up to 50% in the satisfaction level of users.
| Author | : Rami Tawil |
| Publisher | : |
| Total Pages | : 134 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Dans cette thèse nous proposons une décision de handover vertical distribuée (DVHD) pour la quatrième generation des réseaux sans-fils, le DVHD tend à fournir des services continus pour les noeuds mobiles. La quatrième génération de réseau sans fil (FGWN) se compose de réseaux hétérogènes, telles que: Universal Mobile Telecommunication System (UMTS), WiFi et WiMax. Ces technologies fournissent aux utilisateurs une gamme de services qui peuvent être obtenues en se déplaçant entre les réseaux. La question de la mobilité est l'un des intérêts majeurs pour la FGWN, pendant celui-ci, un utilisateur mobile peut subir desévènements de transfert (handover). Une des questions majeures dans le FGWN est la prise de décision pendant le déplacement du mobile. Le Vertical Handoff décision (VHD) est la tâche avec lequel le un décideur de handover choisit le réseau auxquel il va se connecter. La solution DVHD diminue le délai de handover et la consommation d'énergie de la part du nœud mobile. L'idée principale du système est de grouper les réseaux en clusters virtuels, alors si le noeud mobile entre dans la zone de couverture d'un cluster, il communiquera avec le premier réseau disponible pour récupérer des informations sur son environnement, et de prendre la bonne décision. Deux autres extensions sont ajouté le S-DVHD et le T-DVHD qui sert à securiser les communication entre les entités et de créer des relations de confiance entre ces entités.
| Author | : Shusmita Anwar Sharna |
| Publisher | : |
| Total Pages | : 280 |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
Vertical handoff management is a very complex process in heterogeneous wireless environment. Maximization of user satisfaction often conflicts with the capitalization of network utilization as native users face increased competitions from the foreign users to access limited radio resources of a network and, more importantly, multiple networks compete to serve the same user pool. This thesis exploits these competitions to develop an efficient vertical handoff management system in heterogeneous wireless environment using a powerful modelling tool named, Markov decision process. A new vertical handoff decision algorithm is developed with novel competition-sensitive reward function formulation, which outperforms the existing algorithm in terms of improved expected values of QoS parameters such as bandwidth, delay, and jitter. A novel weight estimation technique is then defined, which can adaptively control the width of the spanning of estimated weights, to provide the ultimate flexibility for users to control the effective range of QoS parameters. Vertical handoff management should not be considered in isolation as the impact of call admission control policy's priorities to new, vertical handoff, and horizontal handoff calls is significant in the long run for maximizing user satisfaction. A network-centric Markov decision process based call admission control scheme is developed for multi-class traffic to analytically model the expected call dropping rates of vertical and horizontal handoff calls of a network. According to the model, these rates are primarily influenced by the priorities assigned by a network to different types of calls. In order to provide an effective feedback mechanism to the competing networks so that their priorities can be adaptively adjusted accordingly, the reward function of mobile-centric vertical handoff decision algorithm is further refined by considering the effect of call dropping rates of vertical and horizontal handoff calls on long-term user satisfaction. This is the first successful step in designing an integrated vertical handoff management system capable of significantly improving user satisfaction and widening the span of QoS operability, while concomitantly allowing networks to adapt call admission control policies to optimize network utilization.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2008 |
| Genre | : |
| ISBN | : |
The 4th generation wireless communication systems aim to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. To achieve this goal, the support of vertical handoff is important in mobility management. This thesis focuses on the vertical handoff decision algorithm, which determines the criteria under which vertical handoff should be performed. The problem is formulated as a constrained Markov decision process. The objective is to maximize the expected total reward of a connection subject to the expected total access cost constraint. In our model, a benefit function is used to assess the quality of the connection, and a penalty function is used to model the signaling incurred and call dropping. The user's velocity and location information are also considered when making the handoff decisions. The policy iteration and Q-learning algorithms are employed to determine the optimal policy. Structural results on the optimal vertical handoff policy are derived by using the concept of supermodularity. We show that the optimal policy is a threshold policy in bandwidth, delay, and velocity. Numerical results show that our proposed vertical handoff decision algorithm outperforms other decision schemes in a wide range of conditions such as variations on connection duration, user's velocity, user's budget, traffic type, signaling cost, and monetary access cost.
| Author | : Fang Zhu |
| Publisher | : |
| Total Pages | : |
| Release | : 2005 |
| Genre | : Wireless LANs |
| ISBN | : |
ABSTRACT: Next generation wireless networks will be based on the coordination of different types of networks in a heterogeneous environment. A significant challenge for coordination is vertical handoff that ensures mobile users' seamless mobility and ubiquitous access to applications across heterogeneous networks.
| Author | : Yaw Nkansah-Gyekye |
| Publisher | : |
| Total Pages | : 348 |
| Release | : 2010 |
| Genre | : Wireless communication systems |
| ISBN | : |
The objective of the thesis research is to design such vertical handoff decision algorithms in order for mobile field workers and other mobile users equipped with contemporary multimode mobile devices to communicate seamlessly in the NGWN. In order to tackle this research objective, we used fuzzy logic and fuzzy inference systems to design a suitable handoff initiation algorithm that can handle imprecision and uncertainties in data and process multiple vertical handoff initiation parameters (criteria); used the fuzzy multiple attributes decision making method and context awareness to design a suitable access network selection function that can handle a tradeoff among many handoff metrics including quality of service requirements (such as network conditions and system performance), mobile terminal conditions, power requirements, application types, user preferences, and a price model; used genetic algorithms and simulated annealing to optimise the access network selection function in order to dynamically select the optimal available access network for handoff; and we focused in particular on an interesting use case: vertical handoff decision between mobile WiMAX and UMTS access networks. The implementation of our handoff decision algorithm will provide a network selection mechanism to help mobile users select the best wireless access network among all available wireless access networks, that is, one that provides always best connected services to users.
| Author | : Muntean, Gabriel-Miro |
| Publisher | : IGI Global |
| Total Pages | : 429 |
| Release | : 2012-01-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1466600187 |
"This book serves as a vital resource for practitioners to learn about the latest research and methodology within the field of wireless technology, covering important aspects of emerging technologies in the heterogeneous next generation network environment with a focus on wireless communications and their quality"--Provided by publisher.
| Author | : Tansir Ahmed |
| Publisher | : |
| Total Pages | : 148 |
| Release | : 2007 |
| Genre | : |
| ISBN | : 9783832267094 |
| Author | : Jeff Kennington |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 384 |
| Release | : 2010-11-10 |
| Genre | : Business & Economics |
| ISBN | : 1441961119 |
This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver. The past two decades have seen a tremendous growth in the deployment and use of wireless networks. The current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. The optimization of system performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. In the editors' previous work on traditional wired networks, we have observed that designing low cost, survivable telecommunication networks involves extremely complicated processes. Commercial products available to help with this task typically have been based on simulation and/or proprietary heuristics. As demonstrated in this book, however, mathematical programming deserves a prominent place in the designer's toolkit. Convenient modeling languages and powerful optimization solvers have greatly facilitated the implementation of mathematical programming theory into the practice of commercial network design. These points are equally relevant and applicable in today’s world of wireless network technology and design. But there are new issues as well: many wireless network design decisions, such as routing and facility/element location, must be dealt with in innovative ways that are unique and distinct from wired (fiber optic) networks. The book specifically treats the recent research and the use of modeling languages and network optimization techniques that are playing particularly important and distinctive roles in the wireless domain.
| Author | : Sangeeta Jadhav |
| Publisher | : Taylor & Francis |
| Total Pages | : 338 |
| Release | : 2022-06-20 |
| Genre | : |
| ISBN | : 1000781232 |
The special issue is dedicated to National conference on Communication, computational intelligence and learning-NCCCIL sponsored by AICTE and organized by Department of Information Technology at Army Institute of Technology from 12–13 January 2022. This conference gave the collaborative forum to academic experts, researchers and corporate professionals to enrich their knowledge in the automation and analysis of industry and business processes in a smart way. The two day conference included invited talks and paper presentations focusing on the applications of Computational intelligence, Communication, Machine Learning and Artificial Intelligence.
