SmartHO: mobility pattern recognition assisted intelligent handoff in wireless overlay networks

Abstract

Handoff management providing continuous mobility services is important for end-users in wireless overlay networks. The existing studies focus on improving the handoff performance with little attention to determine the current mobility pattern to provide different advanced services for end-users, and the handoff process is not intelligent as well. Due to the randomness and fuzziness of human mobility, predicting the mobility is still an open issue. In this paper, a mobility pattern recognition assisted intelligent handoff (SmartHO) is proposed. By exploring the regularity and rationality in the seemingly random daily itinerary and analyzing the typical mobility patterns, a spatial-temporal mobility pattern model is firstly constructed, and the mobility pattern recognition algorithm based on the joint space-time correlation then is designed. In different handoff cases, the specific handoff optimization strategies corresponding to the mobility patterns are employed to make the handoff process more intelligent. With the configurations from the authors real life, the simulations conducted on the NS-2 platform Communicated by

Multiobjective Network Opportunistic Access for Group Mobility in Mobile Internet

“…Moreover, if p jk = 0, then p jk ln p jk = 0. Therefore, the weight of the k-th evaluation metric can be defined in (8).…”

“…These applications need to be able to roam across internetworks to remain constantly connected, enabling mobile users to experience uninterrupted, anywhere, anytime services. Consequently, one important research issue lies in investigating efficient and optimum solutions to handle IP mobility [1]- [8]. Generally, mobility management involves two operations: handoff management and location management.…”

Handover Algorithms in LTE Networks for Massive Means of Transport

“…The algorithms based on mobility patterns (Watanabe, Matsunaga, Kobayashi, Sugahara, & Hamabe, 2011;Wang, Huang, & Tung, 2014;Tao, Yuan, Hong, & Zhang, 2016;Ge, Wen, & Zheng, 2009) seek the construction of a mobility history for the user; this, in order to predict the UE movements inside the network. This way, they also search to predict the candidate cells for the handover.…”

“…This way, they also search to predict the candidate cells for the handover. Tao et al, (2016) propose the reconnaissance of an intelligent mobility pattern -called Smart-HO-, executed in three stages: pattern modelling, pattern reconnaissance, and implementation of the intelligent handover. Watanabe et al, (2011) propose a scheme for handling the list of neighbor cells, giving higher priority to the new detected cells over the existing ones.…”

“…Los algoritmos basados en patrones de movilidad (Watanabe, Matsunaga, Kobayashi, Sugahara, & Hamabe, 2011;Wang, Huang, & Tung, 2014;Tao, Yuan, Hong, & Zhang, 2016;Ge, Wen, & Zheng, 2009) buscan la construcción de un historial de movilidad del usuario, con el fin de predecir los movimientos del UE dentro de la red, y así predecir también las celdas candidatas para traspaso. Tao et al, (2016) proponen el reconocimiento de un patrón de movilidad inteligente, denominando Smart-HO, el cual se ejecuta en tres fases: modelamiento del patrón, reconocimiento del patrón e implementación del traspaso inteligente. Watanabe et al, (2011) proponen un esquema para el manejo de la lista de celdas vecinas, dando mayor prioridad a las nuevas celdas detectadas, sobre las existentes.…”