Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI

Fifth-generation (5G) of wireless networks are expected to accommodate different services with contrasting quality of service (QoS) requirements within a common physical infrastructure in an efficient way. In this article, we address the radio access network (RAN) slicing problem and focus on the th...

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Main Authors: Praveen Kumar Korrai, Eva Lagunas, Ashok Bandi, Shree Krishna Sharma, Symeon Chatzinotas
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9220787/
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author Praveen Kumar Korrai
Eva Lagunas
Ashok Bandi
Shree Krishna Sharma
Symeon Chatzinotas
author_facet Praveen Kumar Korrai
Eva Lagunas
Ashok Bandi
Shree Krishna Sharma
Symeon Chatzinotas
author_sort Praveen Kumar Korrai
collection DOAJ
description Fifth-generation (5G) of wireless networks are expected to accommodate different services with contrasting quality of service (QoS) requirements within a common physical infrastructure in an efficient way. In this article, we address the radio access network (RAN) slicing problem and focus on the three 5G primary services, namely, enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (URLLC) and massive machine-type communications (mMTC). In particular, we formulate the joint allocation of power and resource blocks to the heterogeneous users in the downlink targeting the transmit power minimization and by considering mixed numerology-based frame structures. Most importantly, the proposed scheme does not only consider the heterogeneous QoS requirements of each service, but also the queue status of each user during the scheduling of resource blocks. In addition, imperfect Channel State Information (CSI) is considered by including an outage probabilistic constraint into the formulation. The resulting non-convex problem is converted to a more tractable problem by exploiting Big-M formulation, probabilistic to non-probabilistic transformation, binary relaxation and successive convex approximation (SCA). The proposed solution is evaluated for different mixed-numerology resource grids within the context of strict slice-isolation and slice-aware radio resource management schemes via extensive numerical simulations.
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spelling doaj.art-4fcc62bc115e492db46ad741f24197e72022-12-21T18:35:53ZengIEEEIEEE Open Journal of the Communications Society2644-125X2020-01-0111583160110.1109/OJCOMS.2020.30295539220787Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSIPraveen Kumar Korrai0https://orcid.org/0000-0002-5234-8215Eva Lagunas1https://orcid.org/0000-0002-9936-7245Ashok Bandi2https://orcid.org/0000-0002-7791-5984Shree Krishna Sharma3https://orcid.org/0000-0001-9823-2886Symeon Chatzinotas4https://orcid.org/0000-0001-5122-0001SnT, University of Luxembourg, Luxembourg City, LuxembourgSnT, University of Luxembourg, Luxembourg City, LuxembourgSnT, University of Luxembourg, Luxembourg City, LuxembourgSnT, University of Luxembourg, Luxembourg City, LuxembourgSnT, University of Luxembourg, Luxembourg City, LuxembourgFifth-generation (5G) of wireless networks are expected to accommodate different services with contrasting quality of service (QoS) requirements within a common physical infrastructure in an efficient way. In this article, we address the radio access network (RAN) slicing problem and focus on the three 5G primary services, namely, enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (URLLC) and massive machine-type communications (mMTC). In particular, we formulate the joint allocation of power and resource blocks to the heterogeneous users in the downlink targeting the transmit power minimization and by considering mixed numerology-based frame structures. Most importantly, the proposed scheme does not only consider the heterogeneous QoS requirements of each service, but also the queue status of each user during the scheduling of resource blocks. In addition, imperfect Channel State Information (CSI) is considered by including an outage probabilistic constraint into the formulation. The resulting non-convex problem is converted to a more tractable problem by exploiting Big-M formulation, probabilistic to non-probabilistic transformation, binary relaxation and successive convex approximation (SCA). The proposed solution is evaluated for different mixed-numerology resource grids within the context of strict slice-isolation and slice-aware radio resource management schemes via extensive numerical simulations.https://ieeexplore.ieee.org/document/9220787/RAN resource slicingpower minimizationresource block allocationmixednumerologieseMBBURLLC and mMTC
spellingShingle Praveen Kumar Korrai
Eva Lagunas
Ashok Bandi
Shree Krishna Sharma
Symeon Chatzinotas
Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
IEEE Open Journal of the Communications Society
RAN resource slicing
power minimization
resource block allocation
mixednumerologies
eMBB
URLLC and mMTC
title Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
title_full Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
title_fullStr Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
title_full_unstemmed Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
title_short Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI
title_sort joint power and resource block allocation for mixed numerology based 5g downlink under imperfect csi
topic RAN resource slicing
power minimization
resource block allocation
mixednumerologies
eMBB
URLLC and mMTC
url https://ieeexplore.ieee.org/document/9220787/
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