Handover Decision in Heterogeneous Networks

Abstract

The integration of heterogeneous wireless networks allows the mobile users to benefit simultaneously from the radio coverage of different access technologies (RAT: Radio Access Technology) and the diversity of applications. Nowadays, applications are becoming more and more critical in terms of Quality of Service (QoS) and dynamicity. Handover mechanism is responsible of guaranteeing the required quality of service in ubiquitous environment when mobile users roam across different RATs. The diversification of context metrics offered by these different networks has a direct impact on the user perceived quality of service especially during the network selection process. The present work addresses the network selection process, which is the most important stage of the vertical handover decision mechanism. Our proposed algorithm for Vertical Handover decision making is based on the context awareness and the quality of experience (QoE). It integrates the threshold values of sensitive criteria, which are considered as the required metrics in the making decision process used to select the optimal target network. However, we define a decision function that checks the performance of the given networks and identifies the best solution. Performance offered by the chosen network has to be reviewed since the handover is launched to control the quality of service perceived by the end user. Simulation results improve the perceived network performance by avoiding unnecessary handover. In Ubiquitous environment, most Handover decision mechanisms generate a ping pong effect caused by the inefficiency of the network handover metrics which do not consider the required end user performance. As compared to several existing algorithms, our algorithm fits the expected changes in the network performance and the users preferences without wastage of network resources. It reduces the processing delay and the complexity level caused by unnecessary computation over available radio access technologies which do not ensure required connection performance.

Adaptive real-time spectrum selection framework and handover decision algorithm (RSSF-HDA) for heterogeneous networks

“…It also permits essential data modification [1]. MATLAB was employed as was used in earlier research [2]; [17]: [1]. Across the Picocell coverage region, the UEs are evenly dispersed.…”

QoS aware radio access technology selection framework in heterogeneous networks using SDN

“…In the existing literature, many studies focus on the development of RAT selection solutions in HetNets such as [2]- [4], and [11]- [20]. RAT selection approaches can be classified as either distributed [2], [4], [11], [14], and [15], or centralised [3], [12], [13], [16]- [20] approaches. With distributed solutions, a wireless device usually gathers performance related measurements from the network before selecting the most suitable RAT according to a specific metric while centralised approaches rely on the global view obtained from the network controller to decide the best RAT.…”

“…Other studies focus on RAT selection solutions for Het-Nets involving only LTE cells such as macro, femto and picocells [12], [17], and [18]. Finally, the works in [2], [3], [14]- [16], and [19] propose a complete integration between LTE and Wi-Fi going beyond the mere offloading from one network to another.…”