
An analytical framework in LEO mobile satellite systems servicing batched Poisson traffic
Author(s) -
Moscholios Ioannis D.,
Vassilakis Vassilios G.,
Sarigiannidis Panagiotis G.,
Sagias Nikos C.,
Logothetis Michael D.
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0220
Subject(s) - handover , computer science , poisson distribution , satellite , poisson process , channel (broadcasting) , markov chain , blocking (statistics) , markov process , process (computing) , satellite system , real time computing , compound poisson process , service (business) , computer network , telecommunications , mathematics , global positioning system , statistics , gnss applications , machine learning , engineering , aerospace engineering , operating system , economy , economics
The authors consider a low earth orbit (LEO) mobile satellite system (MSS) that accepts new and handover calls of multirate service‐classes. New calls arrive in the system as batches, following the batched Poisson process. A batch has a generally distributed number of calls. Each call is treated separately from the others and its acceptance is decided according to the availability of the requested number of channels. Handover calls follow also a batched Poisson process. All calls compete for the available channels under the complete sharing policy. By considering the LEO‐MSS as a multirate loss system with ‘satellite‐fixed’ cells, it can be analysed via a multi‐dimensional Markov chain, which yields to a product form solution (PFS) for the steady‐state distribution. Based on the PFS, they propose a recursive and yet efficient formula for the determination of the channel occupancy distribution, and consequently, for the calculation of various performance measures including call blocking and handover failure probabilities. The latter are much higher compared to the corresponding probabilities in the case of the classical (and less bursty) Poisson process. Simulation results verify the accuracy of the proposed formulas. Furthermore, they discuss the applicability of the proposed model in software‐defined LEO‐MSS.