EmerSAT

 
EmerSAT                                                                                         
 

Project full title: Progetto Pilota di Telecomunicazioni Istituzionali per Emergenza e Sicurezza

 

Grant agreement no.: Contratto ASI n° I/054/08/0

 

Coordinator: Telespazio S.p.A.

 

Consortium: Telespazio (I) , Thales Alenia Space Italia (I), Elsacom (I), Aersat (I), Kell (I), Sparviero (I), PXL (I), Sisma (I), Space Engineering (I), Carlo Gavazzi Space (I), CRAT (I), CRESM - Università di Tor Vergata (I), CNIT - Unità di Firenze (I), DIE - Università La Sapienza (I), Politecnico di Milano (I)

 
 

Duration: 36 months

 

Starting Date: February 2009

 

Expected Ending: February 2012

 

Key Persons: This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it. , This email address is being protected from spambots. You need JavaScript enabled to view it.

 
 

Project Description: The EmerSAT Project has been funded by the Italian Space Agency (ASI) with the aim of developing a new satellite network to be used by the operators in emergency scenarios. In particular the main end user of this infrastructure will be the Italian Civil Protection and by the Fire Brigades.

 

The core network will be based on the new generation of DVB-RCS Satellite, able to perform dynamic Connection Admission Control and Dynamic Bandwidth Allocation in heterogeneous traffic scenarios. This concept is at the basis of critical communications, since it allows an intelligent traffic management, for example, able to adapt to the different phase (and needs) of an emergency and to guarantee the adequate level of QoS.

 

CRAT Contribution: Within the framework of the project, CRAT will design and develop the CAC (Connection Admission Control) and BoD (Bandwidth on Demand) modules, in charge of performing the above mentioned adaptation functionalities to traffic conditions and needs.

 

In particular BoD module is based on Smith Predictor and automatic control algorithms, while the CAC module is mainly based on Markov Decision Processes and Reinforcement Learning.

 

CRAT is also in charge of performing a study to enable the regenerative SkyplexNet architecture with similar dynamic traffic management capabilities.

 

Relevant Publications:

Pietrabissa, A. “A stochastic control approach to Slotted-ALOHA random access protocol”, International Journal of Control(Taylor & Francis, Great Britain), Vol. 86, Issue 12, 1 December 2013, pp. 2290-2301, doi: 10.1080/00207179.2013.811540.

A. Pietrabissa, A. Fiaschetti, “An Innovative Optimal Approach to Slotted-ALOHA Random Access Protocol”, Proc. 5th Advanced Satellite Multimedia Systems Conference (ASMS 2010), Cagliari, IT, pp. 462-468, September 13-15, 2010, IEEE Catalog number: CFP1016E-USB, ISBN: 978-1-4244-6832-4, DOI: 10.1109/ASMS-SPSC.2010.5586903.