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QoS AND CALL COMPLETION SUCCESS<br />

PROBABILITIES<br />

THROUGH INPUT-O<strong>UTP</strong>UT RELATIONS<br />

Abstract—In this short report, the validity<br />

in extracting the Probability of Success<br />

Call Completion (PSCC) from a typical I/O<br />

procedure is evaluated. Under the I/O<br />

view the input and transfer functions are<br />

prepared without to abandon the randomness<br />

nature of the phenomenology. Simulation<br />

of the input function is performed<br />

by assuming the existence of up to two<br />

handovers and end user velocity of up to<br />

100 Km/h. The results would indicate that<br />

under certain circumstances the formulation<br />

I/O is valid by a 10% of error respect<br />

to the Meo-Ajmone model [1]. However,<br />

the weakness of the I/O approach would<br />

be in the extraction of numbers from a<br />

large parameter space.<br />

Index Terms—QoS, Stochastic Systems, I/O<br />

schemes, QoE.<br />

I. INTRODUCTION<br />

It is well known that the end user quality of<br />

service (QoS) is a crucial indicator to decide<br />

scenarios for upgrading aspects in communications<br />

engineering. While by one hand the binomial<br />

cost-benefits must be optimized, on the<br />

other hand the corresponding impact on the<br />

end users should be careful assessed without<br />

to degraded the service performance.<br />

Moreover a particular assessment must be paid<br />

on those end users whose mobility would play<br />

a role in degrading the service efficiency. In<br />

addition, management decisions should maintain<br />

a standard and reliability in guaranteeing<br />

an excellent service to these end users whose<br />

usage of their handovers associated must<br />

be unstoppable. In this spirit, the evaluation<br />

of strategies aimed to improve the quality of<br />

CIENCIA, CULTURA Y TECNOLOGÍA - UNIVERSIDAD TECNOLÓGICA DEL PERÚ<br />

service (QoS) is a must. Thus, a special attention<br />

is paid on the Probability of Success<br />

Call Completion (to called herein as PSCC),<br />

a crucial variable in cellular communications.<br />

The intrinsic an inherent stochastic nature of<br />

the cellular systems has established that the<br />

end user parameters such as position and velocity<br />

are considered as random quantities. An<br />

interesting modeling of the PSCC was done in<br />

[1][2] by using purely probabilistic arguments.<br />

In this short report, a proposal to compute the<br />

PSCC by using the typical I/O scheme is presented.<br />

In contrast to the dedicate methodologies<br />

given at the past, our perception on the<br />

computation of the PSCC can be derived from<br />

the following relation:<br />

where PD is a kind of probability or cumulative<br />

distribution function which is continue<br />

over the range of , the variable denoting<br />

the distance by the user and the call<br />

arrival rate (a variable of importance in communications).<br />

In (1) the presence of a second<br />

integral with quadratic terms in (a transfer<br />

function or kernel) and PD (input function) is<br />

perceived as a term which would be in according<br />

to the randomness of the problem in the<br />

sense of being nonlinear. Thus, it is postulated<br />

that the stochastic character of the problem<br />

might be replaced in somewhat by nonlinearity<br />

as written in Eq. (1), a different way of<br />

measuring PSCC as normally is given by probabilistic<br />

relations. Furthermore, an eventual<br />

testing of Eq. (1) it would be of importance as<br />

(1)<br />

Dr. Huber Nieto-<br />

Chaupis (1) ,<br />

Ing. Flavio Ramirez<br />

Horna (2)<br />

(1) Vicerrectorado<br />

de Investigación,<br />

Ciencia y Tecnología<br />

y Facultad de<br />

Ingeniería Electrónica<br />

y Mecatrónica FIEM<br />

Universidad<br />

Tecnológica del Perú.<br />

(2) Facultad<br />

de Ciencias e<br />

Ingeniería - Pontifica<br />

Universidad Católica<br />

del Perú.<br />

47

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