Personal Satellite Services. 4th International ICST Conference, PSATS 2012, Bradford, UK, March 22-23, 2012. Revised Selected Papers

Research Article

Network Coding for Next Generation Personal Satellite Converged Services

Download213 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-36787-8_3,
        author={Daniel Lucani and Marie-Jos\^{e} Montpetit},
        title={Network Coding for Next Generation Personal Satellite Converged Services},
        proceedings={Personal Satellite Services. 4th International ICST Conference, PSATS 2012, Bradford, UK, March 22-23, 2012. Revised Selected Papers},
        proceedings_a={PSATS},
        year={2013},
        month={4},
        keywords={Convergence Heterogeneous Networks Network Coding Satellite Communications},
        doi={10.1007/978-3-642-36787-8_3}
    }
    
  • Daniel Lucani
    Marie-José Montpetit
    Year: 2013
    Network Coding for Next Generation Personal Satellite Converged Services
    PSATS
    Springer
    DOI: 10.1007/978-3-642-36787-8_3
Daniel Lucani1,*, Marie-José Montpetit2,*
  • 1: Universidade do Porto
  • 2: Massachusetts Institute of Technology
*Contact email: dlucani@fe.up.pt, mariejo@mit.edu

Abstract

Seeking to meet the resilience, efficiency, and quality of experience challenges of personal and converged satellite services, we present a new approach that leverages the benefits of network coding. The salient features of this strategy are (i) source nodes manage and control the transmission of linear combinations of data packets through heterogeneous communication routes, and (ii) intermediate nodes at each route can generate new coded packets with opportunistic storage. Hence, the amount of data and redundancy sent through each route can meet the required performance of the different sessions. In particular it can help surmount varying channel conditions and correct erasures but also adapt to the different delays and bandwidth that are features of the converged PSAT networks of the future. The main technical challenge is to choose adequate, coding-aware policies to leverage heterogeneous networks based on content and user requirements. We present preliminary analysis that illustrates that exploiting the routes jointly can be performed seamlessly using network coding even with limited feedback capabilities.