An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more efficient computing paradigms. These stringent demands have posed significant challenges to the current wireless networks...
Gespeichert in:
Hauptverfasser: | , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | With the advent of the Internet-of-Things (IoT) era, the ever-increasing
number of devices and emerging applications have triggered the need for
ubiquitous connectivity and more efficient computing paradigms. These stringent
demands have posed significant challenges to the current wireless networks and
their computing architectures. In this article, we propose a high-altitude
platform (HAP) network-enabled edge computing paradigm to tackle the key issues
of massive IoT connectivity. Specifically, we first provide a comprehensive
overview of the recent advances in non-terrestrial network-based edge computing
architectures. Then, the limitations of the existing solutions are further
summarized from the perspectives of the network architecture, random access
procedure, and multiple access techniques. To overcome the limitations, we
propose a HAP-enabled aerial cell-free massive multiple-input multiple-output
network to realize the edge computing paradigm, where multiple HAPs cooperate
via the edge servers to serve IoT devices. For the case of a massive number of
devices, we further adopt a grant-free massive access scheme to guarantee
low-latency and high-efficiency massive IoT connectivity to the network.
Besides, a case study is provided to demonstrate the effectiveness of the
proposed solution. Finally, to shed light on the future research directions of
HAP network-enabled edge computing paradigms, the key challenges and open
issues are discussed. |
---|---|
DOI: | 10.48550/arxiv.2106.13476 |