Recently there has been a lot of research and development in wireless networking and mobility management, with the main purpose of connection handling between mobile hosts and base stations or access points. QoS guarantee is a very important issue in wireless communications, when mobile nodes move among different coverage areas. This paper presents a general prediction technique based both on the analysis of Cell Stay Time and on the direction probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility has been analyzed, in order to reduce passive resource reservations, with a high gain in system utilization. In particular, a threshold-based algorithm is presented, trying to take into account the mobility behavior of mobile users, through the analysis of a directional probabilities matrix. The performances of the 2D wireless system have been evaluated in terms of prediction error and system utilization; in addition, some comparisons with older prediction schemes have been made. © 2007 IEEE.
A new threshold-based predictive reservation scheme for 2d wireless environments
Fazio P.;
2007-01-01
Abstract
Recently there has been a lot of research and development in wireless networking and mobility management, with the main purpose of connection handling between mobile hosts and base stations or access points. QoS guarantee is a very important issue in wireless communications, when mobile nodes move among different coverage areas. This paper presents a general prediction technique based both on the analysis of Cell Stay Time and on the direction probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility has been analyzed, in order to reduce passive resource reservations, with a high gain in system utilization. In particular, a threshold-based algorithm is presented, trying to take into account the mobility behavior of mobile users, through the analysis of a directional probabilities matrix. The performances of the 2D wireless system have been evaluated in terms of prediction error and system utilization; in addition, some comparisons with older prediction schemes have been made. © 2007 IEEE.I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.