Wireless Edge Content Broadcast via Integrated Terrestrial and Non-terrestrial Networks

TL;DR

This paper presents a novel method for optimizing wireless edge content placement using non-terrestrial networks, specifically LEO satellites, to improve broadcast efficiency and coverage in remote areas.

Contribution

It introduces a dynamic content placement strategy that leverages NTN capabilities and satellite mobility, outperforming existing static methods.

Findings

Significant improvement in placement speed over existing methods

NTN links outperform terrestrial solutions in early content delivery

Higher regional content popularity correlation enhances NTN benefits

Abstract

Non-terrestrial networks (NTN) have emerged as a transformative solution to bridge the digital divide and deliver essential services to remote and underserved areas. In this context, low Earth orbit (LEO) satellite constellations offer remarkable potential for efficient cache content broadcast in remote regions, thereby extending the reach of digital services. In this paper, we introduce a novel approach to optimize wireless edge content placement using NTN. Despite wide coverage, the varying NTN transmission capabilities must be carefully aligned with each content placement to maximize broadcast efficiency. In this paper, we introduce a novel approach to optimize wireless edge content placement using NTN, positioning NTN as a complement to TN for achieving optimal content broadcasting. Specifically, we dynamically select content for placement via NTN links. This selection is based on popularity and suitability for delivery through NTN, while considering the orbital motion of LEO satellites. Our system-level case studies, based on a practical LEO constellation, demonstrate the significant improvement in placement speed compared to existing methods, which neglect network mobility. We also demonstrate that NTN links significantly outperform standalone wireless TN solutions, particularly in the early stages of content delivery. This advantage is amplified when there is a higher correlation of content popularity across geographical regions.