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Key Issues in Wireless Transmission for NTN-Assisted Internet of Things

Authors :
Qi, Chenhao
Wang, Jing
Lyu, Leyi
Tan, Lei
Zhang, Jinming
Li, Geoffrey Ye
Source :
IEEE Internet of Things Magazine; 2024, Vol. 7 Issue: 1 p40-46, 7p
Publication Year :
2024

Abstract

Non-terrestrial networks (NTNs) have become appealing resolutions for seamless coverage in the next-generation wireless transmission, where a large number of Internet of Things (IoT) devices diversely distributed can be efficiently served. The explosively growing number of IoT devices brings a new challenge for massive connection. The long-distance wireless signal propagation in NTNs leads to severe path loss and large latency, where the accurate acquisition of channel state information (CSI) is another challenge, especially for fast-moving non-terrestrial base stations (NTBSs). Moreover, the scarcity of on-board resources of NTBSs is also a challenge for resource allocation. To this end, we investigate three key issues, where the existing schemes and emerging resolutions for these three key issues have been comprehensively presented. The first issue is to enable the massive connection by designing random access to establish the wireless link and multiple access to transmit data streams. The second issue is to accurately acquire CSI in various channel conditions by channel estimation and beam training, where orthogonal time frequency space modulation and dynamic codebooks are on focus. The third issue is to efficiently allocate the wireless resources, including power allocation, spectrum sharing, beam hopping, and beamforming. At the end of this article, some future research topics are identified.

Details

Language :
English
ISSN :
25763180 and 25763199
Volume :
7
Issue :
1
Database :
Supplemental Index
Journal :
IEEE Internet of Things Magazine
Publication Type :
Periodical
Accession number :
ejs65210342
Full Text :
https://doi.org/10.1109/IOTM.001.2300206