Achieving URLLC by MU-MIMO With Imperfect CSI: Under κ-μ Shadowed Fading

Zeng, J; Xu, Q; Fan, X; Ye, N; Ni, W; Jay Guo, Y

Achieving URLLC by MU-MIMO With Imperfect CSI: Under κ-μ Shadowed Fading

Zeng, J Xu, Q Fan, X Ye, N Ni, W

Jay Guo, Y

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Wireless Communications Letters, 2022, 11, (12), pp. 2560-2564
Issue Date:: 2022-12-01

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Field	Value	Language
dc.contributor.author	Zeng, J
dc.contributor.author	Xu, Q
dc.contributor.author	Fan, X
dc.contributor.author	Ye, N
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Jay Guo, Y
dc.date.accessioned	2023-03-20T00:05:23Z
dc.date.available	2023-03-20T00:05:23Z
dc.date.issued	2022-12-01
dc.identifier.citation	IEEE Wireless Communications Letters, 2022, 11, (12), pp. 2560-2564
dc.identifier.issn	2162-2337
dc.identifier.issn	2162-2345
dc.identifier.uri	http://hdl.handle.net/10453/167644
dc.description.abstract	To achieve ultra-reliable and low latency communications (URLLC) in various fading channels is a major challenge. Classical fading models can be unified with a universal fading model, namely, κ-μ shadowed fading. We consider multi-user multiple-input multiple-output (MU-MIMO) and maximal ratio combining detection to achieve URLLC under κ-μ shadowed fading in the uplink. Under imperfect channel state information (CSI), we derive the probability density function of the post-processing signal-to-noise ratio in the κ-μ shadowed fading channel. The finite blocklength information theory is used to calculate the error probability. Simulation results show that under severe κ-μ shadowed fading and imperfect CSI, system parameters can be configured and adapted to the fading parameters to achieve URLLC. The conclusions drawn on the κ-μ shadowed fading model can be applied to almost all classical fading models. In general, we overcome the mathematical intractability of the κ-μ shadow fading model under imperfect CSI, substantially expanding the scope of its application to URLLC.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Wireless Communications Letters
dc.relation.isbasedon	10.1109/LWC.2022.3208150
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.title	Achieving URLLC by MU-MIMO With Imperfect CSI: Under κ-μ Shadowed Fading
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-20T00:05:21Z
pubs.issue	12
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	12

Abstract:

To achieve ultra-reliable and low latency communications (URLLC) in various fading channels is a major challenge. Classical fading models can be unified with a universal fading model, namely, κ-μ shadowed fading. We consider multi-user multiple-input multiple-output (MU-MIMO) and maximal ratio combining detection to achieve URLLC under κ-μ shadowed fading in the uplink. Under imperfect channel state information (CSI), we derive the probability density function of the post-processing signal-to-noise ratio in the κ-μ shadowed fading channel. The finite blocklength information theory is used to calculate the error probability. Simulation results show that under severe κ-μ shadowed fading and imperfect CSI, system parameters can be configured and adapted to the fading parameters to achieve URLLC. The conclusions drawn on the κ-μ shadowed fading model can be applied to almost all classical fading models. In general, we overcome the mathematical intractability of the κ-μ shadow fading model under imperfect CSI, substantially expanding the scope of its application to URLLC.

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http://hdl.handle.net/10453/167644