TY - JOUR
T1 - An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
AU - Ke, Malong
AU - Gao, Zhen
AU - Huang, Yang
AU - Ding, Guoru
AU - Ng, Derrick Wing Kwan
AU - Wu, Qihui
AU - Zhang, Jun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - 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. Furthermore, 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.
AB - 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. Furthermore, 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.
UR - http://www.scopus.com/inward/record.url?scp=85119980109&partnerID=8YFLogxK
U2 - 10.1109/MWC.221.2100092
DO - 10.1109/MWC.221.2100092
M3 - Review article
AN - SCOPUS:85119980109
SN - 1536-1284
VL - 28
SP - 102
EP - 109
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 5
ER -