Teletraffic analysis and simulation for nongeostationary mobile satellite systems

Ruiz, G.; Doumi, T.L.; Gardiner, J.G.

doi:10.1109/25.661056

Cited by 27 publications

(13 citation statements)

References 14 publications

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“…The values of the pdf increase very slowly from its smallest value when T h is relatively small and increase rapidly when T h is large. This observation is consistent with the results obtained in [7] and [17]. From Fig.…”

Section: E Estimation Of Parameters Of the Generalized Beta For The supporting

confidence: 95%

“…In most previous teletraffic analyses of mobile satellite systems, the effect of the Earth's rotation has usually been ignored [2], [7]. However, the speed of the Earth's rotation is a function of the location where this speed is measured and decreases with the cosine of the latitude [18].…”

Section: A Effect Of the Earth's Rotationmentioning

confidence: 99%

“…The cell residence time is defined as the time spent by a mobile terminal in a cell before it is handed-off to another cell [2], [3], [7], [17]. Assuming that the cells in an LEO satellite cellular network have a circular shape, then the maximum cell residence time in any cell may be expressed as follows:…”

Section: Cell Residence Time Modelmentioning

confidence: 99%

“…For example, in [5] and [6], the residence time in the first cell is represented by a uniformly distributed random variable, whereas in all the other cells, it is assumed to be a constant, the value of which is derived based on the speed of the satellite only. In [7], the distributions of the cell residence time in the first and subsequent cells are derived based on the geometry of the mobile LEO satellite system when the users are assumed to be uniformly distributed throughout the service area.…”

Section: Introductionmentioning

confidence: 99%

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New Cell Residence Time Models for Mobile LEO Satellite Cellular Networks

Alwakeel

Aalo

2007

IEEE Trans. Veh. Technol.

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We propose new models for characterizing the cell residence time in a mobile low-Earth-orbit (LEO) satellite cellular network, which, unlike previous models, can accommodate the effect of the Earth's rotation in the teletraffic analysis. The speed of the satellite is typically much higher than that of the mobile; as such, the duration of a cell residence time is finite. Therefore, we use distributions with finite support to model the cell residence time. In particular, we model the residence time in the first (origination) cell with a right-truncated gamma distribution and the residence time in all the other cells with a generalized beta distribution. These distributions have finite support and are sufficiently flexible to accommodate the effects of different system conditions, including the Earth's rotation. To illustrate the use of the proposed models, we study the performance of a mobile LEO satellite cellular network based on the assumption that the residence time in the first cell follows the right-truncated gamma distribution, the residence times in all the other cells follow the generalized beta distribution, and the call duration is gamma distributed. The goodness of the proposed models is validated by computer simulation.

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Section: E Estimation Of Parameters Of the Generalized Beta For The supporting

confidence: 95%

Section: A Effect Of the Earth's Rotationmentioning

confidence: 99%

Section: Cell Residence Time Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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New Cell Residence Time Models for Mobile LEO Satellite Cellular Networks

Alwakeel

Aalo

2007

IEEE Trans. Veh. Technol.

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“…We assume with general phase type cell residence time and general phase type requested call holding time (a valuable method to obtain the probability distribution for both of the above measures is given in [37]). A PH distribution is usually represented by an dimension row vector and an subgenerator matrix , such that , where is also an dimension column vector of all ones.…”

Section: Model Descriptionmentioning

confidence: 99%

PCS networks with correlated arrival process and retrial phenomenon

Alfa

2002

IEEE Trans. Wireless Commun.

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In this paper, the arrival of new calls and handoff calls to a personal communications services (PCS) network is modeled by a Markov arrival process (MAP) in which we allow correlation of the interarrival times among new calls, among handoff calls, as well as between these two kinds of calls. A new call will retry again if the first attempt is blocked. The PCS network consists of homogeneous cells and each cell consists of a finite number of channels. Under the general conditions that all random variables involved have general phase type (PH) distribution, we develop the explicit expression of the infinitesimal generator matrix of the Markov chain governing the network and find its complexity. This has been a difficult matrix to obtain, judging from the works in the literature. It is very complex to develop and has not been previously obtained by other researchers. Some methods to find the stationary probability of the network are discussed. Particularly, we introduce an effective method, from which we can obtain the new call blocking probability and the handoff call failure probability. Also, the busy period of the orbit is introduced. This is an interesting measure from the viewpoint of network provider; its distribution and expectation are then obtained. The results presented in this paper can be used to provide some guidelines to performance evaluation for PCS network design.Index Terms-Busy period of the orbit, Markovian arrival process, personal communications services network, phase type distribution.

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Performance Analysis of LEO Satellite Networks

Zaim

Perros

Rouskas

2002

NETWORKING 2002: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

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Abstract. We present an analytical model for computing call blocking probabilities in a LEO satellite network that carries voice calls. Both satellite-fixed and earth-fixed constellations with inter-orbit links and hand-offs are considered. The model is analyzed approximately by decomposing it into sub-systems. Each sub-system is solved in isolation exactly using a Markov process, and the individual results are combined together through an iterative method. Numerical results demonstrate that our method is accurate for a wide range of traffic patterns.

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Teletraffic analysis and simulation for nongeostationary mobile satellite systems

Cited by 27 publications

References 14 publications

New Cell Residence Time Models for Mobile LEO Satellite Cellular Networks

New Cell Residence Time Models for Mobile LEO Satellite Cellular Networks

PCS networks with correlated arrival process and retrial phenomenon

Performance Analysis of LEO Satellite Networks

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