Mobile tracking and resource reservation scheme for cellular networks

Providing and maintaining quality of service (QoS) in cellular networks has been investigated by many researchers. The main aim of all the approaches is to maximize the utilization of available resources like bandwidth. Location technology has helped widely in the conservation of resources. One of the algorithms that make use of the position of the mobile to reserve resources is the shadow clustering scheme. By tracking the mobile more accurately we can help any reservation protocol to reserve resources using its reservation algorithm. In this paper we propose a method to increase the utilization of resources by making more accurate predictions of the location of the mobile. This involves making use of a new mobile tracking scheme which takes tracking the mobile to the intra cellular level as against the exiting tracking at cellular level. The information obtained form this mobile positioning scheme is then passed on to a reservation algorithm. Simulation of the proposed scheme upon two mobility models has been conducted and compared against reservation schemes that uses inter cellular tracking. The mean that the error in determining the position of the mobile is greatly reduced and also the accuracy with which we are able to predict the motion of the user is also increased.