DCSM Protocol for Content Transfer in Deep Space Network

TL;DR

This paper introduces a novel space-to-earth content transfer protocol that combines advanced coding and real-time channel prediction to significantly improve file transfer rates from space vehicles.

Contribution

The paper presents a new protocol integrating turbo codes, RaptorQ codes, and dynamic rate adaptation based on channel prediction for deep space communication.

Findings

Achieves approximately 20% higher transfer rates.

Utilizes a practical SNR prediction model for adaptive coding.

Demonstrates improved transfer efficiency through simulations.

Abstract

To maximize file transfer from space vehicles to the Earth, we propose a new space-to-earth content transfer protocol that combines turbo codes, RaptorQ codes, real-time channel prediction, and dynamic code-rate selection. The protocol features a practical signal-to-noise ratio prediction model that facilitates periodic adjustment of the turbo encoder to achieve adaptive rate transmission. Our simulation results indicate that an increase of about 20% in file transfer rate is achievable using the proposed protocol.