Abstract
Nowadays, mobile service requests in wireless networking are aimed to the benefit of a good level of satisfaction for the received Quality of Service (QoS) guarantees. In this paper, a new prediction algorithm is proposed, for the pre-reservation of passive bandwidth, when mobile users moves under radio coverage that can be considered as a cellular one (GSM, UMTS, WLAN clusters, etc.). The Hidden Markov Chains (HMC) theory is used to design the predictor, as the main component of the proposed idea, that does not depend on the considered transmission technology, mobility model or vehicular scenario. Mobile ReSerVation Protocol (MRSVP) has been used in order to realize the active/passive bandwidth reservation in the considered network topology. Different simulation campaigns have been carried out in order to appreciate the benefits of the proposed idea.
Highlights
In this paper, we considered Quality of Service (QoS) issues of mobile communications in wireless networks
We considered QoS issues of mobile communications in wireless networks
At the best of our knowledge, a good way to avoid service degradations during hand-over events is represented by passivereservations [1], [2], [11], that is to say, when a mobile user makes a service request on the current coverage cell, the admission control should ensure bandwidth availability on all the cells that the mobile hosts will probably visit during its session
Summary
We considered QoS issues of mobile communications in wireless networks. In order to handle users mobility and to offer guaranteed services (independent from mobility) the ReSerVation Protocol has been extended with the MRSVP [1]; in this way, the hand-off events can be managed in an adequate manner and the mobile users can make reservation requests over more than one cell, by their proxy agents: there are local proxy agents (which handle the active reservations) and remote proxy agents (which deal with passive reservations). Made only on the remote cells that the user will visit during its connection (users belonging to Mobility Independent Predictive, MIP, class requests passive reservations). A brief description of the considered system is given, the application of a particular HMM to the cellular network is introduced
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