Title :
Generic vertical handover prediction algorithm for 4G wireless networks
Author :
Miyim, A.M. ; Ismail, Mahamod ; Nordin, Rosdiadee ; Mahardhika, Gita
Author_Institution :
Dept. of Electr. Electron. & Syst., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
Vertical handover predictions require intelligent algorithm to coordinate heterogeneous access technologies in the 4G-communication system. Although much attention is being given to the handover architecture in most of the literatures, little is mentioned about estimating user movement and prediction for improving the reliability of the access of the underlying system architecture. In an effort to reduce the data loss probability, the Generic Prediction Algorithm (GPA) adopts specimens of received signal strength (RSS) as augment to compute the predictive received signal strength. Received signal strength (RSS), bandwidth (BW), and service cost (SC) are three QoS metrics considered as input parameters for Quantitative Decision Algorithm (QDA) of the divergent networks. The comparison of values of QDA of the networks is made to improve the vertical handover decision. A result of simulation shows that the algorithm proposed produces a better network performance in terms of link reliability.
Keywords :
4G mobile communication; bandwidth allocation; mobility management (mobile radio); probability; quality of service; signal processing; telecommunication network reliability; 4G wireless networks; 4G-communication system; BW; GPA; QDA; QoS metrics; RSS; access reliability; bandwidth; data loss probability; divergent networks; generic prediction algorithm; generic vertical handover prediction algorithm; handover architecture; heterogeneous access technology; input parameters; intelligent algorithm; link reliability; network performance; predictive received signal strength; quantitative decision algorithm; service cost; system architecture; user movement; user prediction; vertical handover decision; Handover; IEEE 802.11 Standards; Mathematical model; Mobile communication; Prediction algorithms; WiMAX;
Conference_Titel :
Space Science and Communication (IconSpace), 2013 IEEE International Conference on
Conference_Location :
Melaka
DOI :
10.1109/IconSpace.2013.6599486