Design of Virtualized Network Coding Functionality for Reliability Control of Communication Services over Satellite

TL;DR

This paper proposes a virtualized network coding framework integrated with NFV for flexible, adaptive, and efficient communication service design, demonstrated through a geo-network coding use case optimizing energy resources.

Contribution

It introduces a novel design framework combining network coding and NFV, enabling tailored, adaptive coding strategies for diverse communication services.

Findings

The proposed framework enhances flexibility and efficiency in network coding deployment.

Geo-network coding demonstrates energy resource optimization.

Numerical results validate the benefits of the integrated design approach.

Abstract

Network coding (NC) is a novel coding technology that can be seen as a generalization of classic point-to-point coding. As with classic coding, both information theoretical and algebraic views bring different and complementary insights of NC benefits and corresponding tradeoffs. However, the multi-user nature of NC and its inherent applicability across all layers of the protocol stack, call for novel design approaches towards efficient practical implementation of this technology. In this paper, we present a possible way forward to the design of NC as a virtual network functionality offered to the communication service designer. Specifically, we propose the integration of NC and Network Function Virtualization (NFV) architectural designs. The integration is realized as a toolbox of NC design domains that the service designer can use for flow engineering. Our proposed design framework combines network protocol-driven design and system modular-driven design approaches. In particular, the adaptive choice of the network codes and its use for a specific service can then be tailored and optimized depending on the ultimate service intent and underlying (virtualized) system or network. We work out a complete use case where we design geo-network coding, an application of NC for which coding rate is optimized using databases of geo-location information towards an energy-efficient use of resources. Our numerical results highlight the benefits of both the proposed NC design framework and the specific application.