Article (Scientific journals)
Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things
Zhou, Xingyu; Ying, Keke; Gao, Zhen et al.
2022In IEEE Transactions on Wireless Communications
Peer Reviewed verified by ORBi
 

Files


Full Text
Active_Terminal_Identification_Channel_Estimation_and_Signal_Detection_for_Grant-Free_NOMA-OTFS_in_LEO_Satellite_Internet-of-Things.pdf
Author preprint (3.96 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] This paper investigates the massive connectivity of low Earth orbit (LEO) satellite-based Internet-of-Things (IoT) for seamless global coverage. We propose to integrate the grant-free non-orthogonal multiple access (GF-NOMA) paradigm with the emerging orthogonal time frequency space (OTFS) modulation to accommodate the massive IoT access, and mitigate the long round-trip latency and severe Doppler effect of terrestrial–satellite links (TSLs). On this basis, we put forward a two-stage successive active terminal identification (ATI) and channel estimation (CE) scheme as well as a low-complexity multi-user signal detection (SD) method. Specifically, at the first stage, the proposed training sequence aided OTFS (TS-OTFS) data frame structure facilitates the joint ATI and coarse CE, whereby both the traffic sparsity of terrestrial IoT terminals and the sparse channel impulse response are leveraged for enhanced performance. Moreover, based on the single Doppler shift property for each TSL and sparsity of delay-Doppler domain channel, we develop a parametric approach to further refine the CE performance. Finally, a least square based parallel time domain SD method is developed to detect the OTFS signals with relatively low complexity. Simulation results demonstrate the superiority of the proposed methods over the state-of-the-art solutions in terms of ATI, CE, and SD performance confronted with the long round-trip latency and severe Doppler effect.
Disciplines :
Computer science
Author, co-author :
Zhou, Xingyu
Ying, Keke
Gao, Zhen
Wu, Yongpeng
Xiao, Zhenyu
CHATZINOTAS, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Yuan, Jinhong
OTTERSTEN, Björn  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Active Terminal Identification, Channel Estimation, and Signal Detection for Grant-Free NOMA-OTFS in LEO Satellite Internet-of-Things
Publication date :
2022
Journal title :
IEEE Transactions on Wireless Communications
ISSN :
1536-1276
eISSN :
1558-2248
Publisher :
IEEE, United States
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 21 December 2022

Statistics


Number of views
92 (1 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
50
Scopus citations®
without self-citations
42
OpenAlex citations
 
35
WoS citations
 
38

publications
47
supporting
0
mentioning
11
contrasting
0
Smart Citations
47
0
11
0
Citing PublicationsSupportingMentioningContrasting
View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

Bibliography


Similar publications



Contact ORBilu