###### Abstract  
Many studies in literature have shown that the bandwidth of an ongoing flow can dynamically change during multimedia sessions and an efficient bandwidth allocation scheme must be employed. This paper focuses its attention on the management of predictive services in Wireless Infrastructure Dynamic Networks. In particular, two classes of service are considered: NSIS-Mobility Independent Predictive and NSIS-Mobility Dependent Predictive, where NSIS is the Next Steps in Signaling protocol, employed for resources reservation in Integrated Services architectures. A general prediction technique is proposed, based both on the analysis of time spent into a cell by mobile nodes and on the probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility needs to be firstly analyzed and a novel realistic mobility model has been considered, differently from some existing works in which synthetic mobility is generated. The analysis of user mobility is mandatory when the reduction of passive resource reservations for NSIS-MIP users is desired, with a good enhancement in system utilization. Moreover, predictive reservation and admission control schemes have been integrated. The performance of the 2D wireless system is evaluated in terms of average system utilization, system outage probability, number of admitted flows and reservation prediction errors. We provided to carry out an extensive simulation campaign, in order to assess the goodness of the proposed idea: we verified that good results (in terms of perceived utility, bandwidth and admitted flows) can be obtained, outperforming also some existing works. CAC; bandwidth allocation; utility function; Markov model; path prediction; wireless networks 2021  
introduced in [3] was used, based on the Finite State Markov Chain (FSMC) for channel modeling, accounting for multipath fading effects in terms of BER and channel capacity, directly related to the different modulation schemes, Doppler shift effects and user average speed. When performing resources reallocations, in addition to channel conditions, instantaneous user satisfaction level must be also taken into account, in order to introduce a certain level of fairness, between flows that belong to the same service class. This purpose is achieved by introducing utility functions [4], as a way to describe user satisfaction profiles based on the instantaneous quality of the perceived service. We base our proposal on an architecture able of reserving different bandwidth levels while, at the same time, offering guaranteed services [5; 6; 7; 8; 9]. In particular, we provided to integrate Integrated Services Packet Networks (ISPNs), the Mobile Resource ReSerVation Protocol (MRSVP) and the Next Step In Signaling (NSIS) [5; 6] for managing users mobility and exchanging state information of the wireless network and the single connection reservations. In addition, routing protocols have great importance in the mobility in wireless network and new paradigms and technologies are used for managing the energy issues in this context such as swarm intelligence-based approaches [10]. We propose also a novel Call Admission Control (CAC) and a Bandwidth Reallocation Scheme (BRS). In this work, in particular, two classes of service were considered: NSIS-MIP and NSIS-MDP [6]. Given the high impact of the mobility model on the obtained results, we considered a realistic mobility generation for our simulations, because the obtained results can be unrealistic if the model is not adequate. There are different proposed models for describing users' behaviors, such as [11; 12; 13; 14]: unfortunately, all of them take into account a synthetic approach, based on analytical and/or stochastic equations, able to describe user movements in different environments (urban, rural, etc. ), without considering the existence of real topologies and road structures.