Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism

This paper proposes a dynamic joint scheduling for the ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic at a sub-frame level with a queuing mechanism, which monitors and controls the latency of each URLLC packet in real time to ensure its strict requireme...

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Main Authors:	Wenheng Zhang, Mahsa Derakhshani, Sangarapillai Lambotharan
Format:	Default Article
Published:	2020
Subjects:	Distributed computing and systems software not elsewhere classified URLLC eMBB punctured scheduling queuing Distributed Computing
Online Access:	https://hdl.handle.net/2134/13517087.v1
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id	rr-article-13517087
record_format	Figshare
spelling	rr-article-135170872020-12-22T00:00:00Z Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism Wenheng Zhang (5854193) Mahsa Derakhshani (2572993) Sangarapillai Lambotharan (1252278) Distributed computing and systems software not elsewhere classified URLLC eMBB punctured scheduling queuing Distributed Computing This paper proposes a dynamic joint scheduling for the ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic at a sub-frame level with a queuing mechanism, which monitors and controls the latency of each URLLC packet in real time to ensure its strict requirements. We analytically derive the outage probability (i.e., the probability of any URLLC packet drop over all transmission channels) and URLLC expected throughput in addition to the expected value of served URLLC packets. Then, a stochastic optimization problem is formulated to maximize the total throughput for the eMBB services, constraining the URLLC outage probability. Numerical results confirm effectiveness of our queuing policy to significantly reduce the URLLC loss rate while ensuring that the total eMBB throughput is not affected. 2020-12-22T00:00:00Z Text Journal contribution 2134/13517087.v1 https://figshare.com/articles/journal_contribution/Stochastic_optimization_of_URLLC-eMBB_joint_scheduling_with_queuing_mechanism/13517087 All Rights Reserved
institution	Loughborough University
collection	Figshare
topic	Distributed computing and systems software not elsewhere classified URLLC eMBB punctured scheduling queuing Distributed Computing
spellingShingle	Distributed computing and systems software not elsewhere classified URLLC eMBB punctured scheduling queuing Distributed Computing Wenheng Zhang Mahsa Derakhshani Sangarapillai Lambotharan Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
description	This paper proposes a dynamic joint scheduling for the ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic at a sub-frame level with a queuing mechanism, which monitors and controls the latency of each URLLC packet in real time to ensure its strict requirements. We analytically derive the outage probability (i.e., the probability of any URLLC packet drop over all transmission channels) and URLLC expected throughput in addition to the expected value of served URLLC packets. Then, a stochastic optimization problem is formulated to maximize the total throughput for the eMBB services, constraining the URLLC outage probability. Numerical results confirm effectiveness of our queuing policy to significantly reduce the URLLC loss rate while ensuring that the total eMBB throughput is not affected.
format	Default Article
author	Wenheng Zhang Mahsa Derakhshani Sangarapillai Lambotharan
author_facet	Wenheng Zhang Mahsa Derakhshani Sangarapillai Lambotharan
author_sort	Wenheng Zhang (5854193)
title	Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
title_short	Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
title_full	Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
title_fullStr	Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
title_full_unstemmed	Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism
title_sort	stochastic optimization of urllc-embb joint scheduling with queuing mechanism
publishDate	2020
url	https://hdl.handle.net/2134/13517087.v1
_version_	1797186932565868544

Stochastic optimization of URLLC-eMBB joint scheduling with queuing mechanism

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