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In this paper we consider the non real-time traffic in IEEE 802.16-based wireless broadband networks with contention-based
bandwidth reservation mechanism. We introduce a new system model and establish an upper bound on the overall data packet delay.
The model enables symmetric Poisson arrival flows and accounts for both the reservation and the sch...
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... bandwidth degrade) and reassigned excess bandwidth to incoming connections (bandwidth upgrade), and is abbreviated as BDR_CAC. In addition to resolving the issues in [3]- [5], effectively increasing radio resource utilization and decreasing blocking and dropping probabilities for IEEE 802.16e/Mobile WiMAX networks with QoS support, are the major concerns of the study. ...
... b b b b b b . In addition, define Δ r = b 3 -b 4 = b 4 -b5 as the bandwidth deviation for three rtPS connection types, it represents the amount of bandwidth can be degraded (released) or upgraded (recovered) by one step; Similarly,Δn = b 6 -b 7 = b 7 -b 8 will be those for three nrtPS connection types, and thus the bandwidth requirement forconnections , , , , , , b b b b b b b b equals to (b 1 ,b 2,3Δ r ,2Δ r ,Δ r , 3Δ n ,2Δ n ,Δ n steady-state probability for state (i,j,k,l,m,n,p,q) and π (i,j,k,l,m,n,p,q) general system state (i,j,k,l,m,n,p,q), all possible transitions can be described inFig. jk l mn p q i j k l mn p q and i j k l mn p q ...
... The majority of the analytical works in the literature do not account for both the reservation and the scheduling components of the delay. The importance of accounting for both components to evaluate the overall delay of accesscontrol systems was emphasized by an early fundamental theoretical work by Rubin [10], as well as by our previous papers [11,12]. For a more practical approach, we refer to [13], in which the realistic performance measures of IEEE 802. ...
We provide an analytical model for efficient dynamic capacity allocation in IEEE 802.16 wireless metropolitan area network, where the nonreal-time traffic can utilize the bandwidth unused by the real-time traffic. We investigate the uplink delay of the nrtPS service flow as a function of the capacity allocations for the rtPS (ertPS) and UGS service flows. Unicast polling is applied for the bandwidth reservation of the nrtPS and rtPS (ertPS) packets. Our analysis accounts for both reservation and scheduling delay components. The nrtPS packets arrive according to Poisson process. The model enables asymmetric capacity allocation, as well as asymmetric nrtPS traffic arrival flows. The analytical model is applied for investigating the influence of the real-time traffic on the delay of the nrtPS service flow. We discuss also the determination of several traffic parameters under different constraints, which have potential applications in network control.
... However, the operation of the real-world network (see Figure 1) includes both functionalities, which should be taken into account. In our previous work [8], we have studied the overall delay by addressing its both components and constructed a simple analytical upper bound on its mean value. In this paper, we continue our work and calculate the exact value of the mean overall delay. ...
... In this section, we briefly outline the model of IEEE 802.16-based network, which is used to evaluate the delay at both reservation and scheduling stages. For more details, see our previous paper [8]. ...
... Additionally, below we introduce a set of assumptions to shape the system model. i , is assumed to be constant (see [8]). Assumption 2. The BS maintains an individual grant buffer of infinite capacity for each SS. ...
In this paper, we present the analysis of the mean overall packet delay of non real-time traffic in IEEE 802.16-based wireless broadband networks. We consider the case of contention-based bandwidth reservation. The system model accounts for both bandwidth reservation and packet transmission delay components of the overall delay. The queueing analysis is based on the description of the joint content of the outgoing subscriber station buffer and the base station grant buffer. This is achieved by means of a properly chosen bivariate embedded Markov chain. The mean overall packet delay is computed from its equilibrium solution. The analytical approach is verified by means of simulation. The corresponding analytical and simulation results show excellent agreement with each other.
In this paper we consider the analysis of an \(M/D^{[y]}/1\) vacation queue with periodically gated discipline. The motivation of introducing the new periodically gated discipline lies in modeling a kind of contention-based bandwidth reservation mechanism applied in wireless networks. The analysis approach applied here consists of two steps and it is based on appropriately chosen characteristic epochs of the system. We provide approximate expressions for the probability-generating function of the number of customers at arbitrary epoch as well as for the Laplace–Stieljes transform and for the mean of the steady-state waiting time. Several numerical examples are also provided. In the second part of the paper we discuss how to apply the periodically gated vacation model to the non real-time uplink traffic in IEEE 802.16-based wireless broadband networks.
