# Network Coding Channel Virtualization Schemes for Satellite Multicast Communications

**Authors:** Samah A. M. Ghanem, Ala Eddine Gharsellaoui, Daniele Tarchi, Alessandro Vanelli-Coralli

arXiv: 1704.04790 · 2026-03-26

## TL;DR

This paper introduces two innovative network channel virtualization schemes for satellite multicast communications, enabling efficient transmission by representing multiple receivers as a single virtual receiver, thus adapting to diverse channel conditions.

## Contribution

The paper presents two novel virtualization schemes that simplify multicast transmission by modeling multiple receivers as one virtual receiver, improving adaptability to channel variations.

## Key findings

- The schemes outperform per-receiver adaptive strategies in satellite multicast scenarios.
- Virtualization reduces complexity and enhances transmission efficiency.
- The approach effectively manages diverse channel conditions among receivers.

## Abstract

In this paper, we propose two novel schemes to solve the problem of finding a quasi-optimal number of coded packets to multicast to a set of independent wireless receivers suffering different channel conditions. In particular, we propose two network channel virtualization schemes that allow for representing the set of intended receivers in a multicast group to be virtualized as one receiver. Such approach allows for a transmission scheme not only adapted to per-receiver channel variation over time, but to the network-virtualized channel representing all receivers in the multicast group. The first scheme capitalizes on a maximum erasure criterion introduced via the creation of a virtual worst per receiver per slot reference channel of the network. The second scheme capitalizes on a maximum completion time criterion by the use of the worst performing receiver channel as a virtual reference to the network. We apply such schemes to a GEO satellite scenario. We demonstrate the benefits of the proposed schemes comparing them to a per-receiver point-to-point adaptive strategy.

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Source: https://tomesphere.com/paper/1704.04790