Performance analysis of a preemptive and priority reservation handoff scheme for integrated service-based wireless mobile networks

Abstract

In this paper, we propose an analytical model for integrated real-time and non-real-time service in a wireless mobile network with priority reservation and preemptive priority handoff schemes. We categorize the service calls into four different types, namely, real-time and non-real-time service originating calls, and real-time and non real-time handoff service request calls. Accordingly, the channels in each cell are divided into three parts: one is for real-time service calls only, the second is for non-real-time service calls only, and the last one is for overflow of handoff requests that cannot be served in the first two parts. In the third group, several channels are reserved exclusively for real-time service handoffs so that higher priority can be given to them. In addition, a realtime service handoff request has the right to preempt non-real-time service in the preemptive priority handoff scheme if no free channels are available, while the interrupted non-real-time service call returns to its handoff request queue. The system is modeled using a multidimensional Markov chain and a numerical analysis is presented to estimate blocking probabilities of originating calls, forced termination probability, and average transmission delay. This scheme is also simulated under different call holding time and cell dwell time distributions. It is observed that the simulation results closely match the analytical model. Our scheme significantly reduces the forced termination probability of real-time service calls. The probability of packet loss of non-real-time transmission is shown to be negligibly small, as a non-real-time service handoff request in waiting can be transferred from the queue of the current base station to another one.

Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

“…We choose P SU F to be the exponential ingredient on account of the fact that P SU F has a greater impact on users' QoS than P SU B [35]. Thus, we define the price function as follows:…”

Traffic Differentiation-Based Network Selection Scheme in Wireless Heterogeneous Networks

“…All above schemes have their own advantages, but all of them do not consider the traffic class differentiation. In [6] and [7] , although the service types are introduced, only the real-time and non real-time service are considered, which couldn't meet the QoS requirements of different applications. In [8], a detailed service type differentiation is considered, while this scheme is much complicated and only suited for users who use signal application.…”

Managing end‐to‐end quality of service in multiple heterogeneous wireless networks

“…Application recovery when faced with frequent disconnections has been studied in the context of database operations [34]. Comparisons of various QoS schemes employed in wireless networks are also available [35][36][37].…”