Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks

The 5G and beyond-5G (B5G) is expected to be a key enabler for Internet-of-Everything (IoE). The narrowband Internet of Things (NB-IoT) is a low-power wide-area enabling technology introduced by the 3<sup>rd</sup> Generation Partnership in 5G. The objective of the NB-IoT is to enhance th...

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Autores principales:	Ali Nauman, Muhammad Ali Jamshed, Yazdan Ahmad Qadri, Rashid Ali, Sung Won Kim
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Device-to-device (D2D) communication machine learning (ML) narrowband Internet-of-Things (NB-IoT) reinforcement learning (RL) Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/60bfa2dd72334a8e952c870dbeca534f
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spelling	oai:doaj.org-article:60bfa2dd72334a8e952c870dbeca534f2021-12-03T00:00:34ZReliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks2169-353610.1109/ACCESS.2021.3129896https://doaj.org/article/60bfa2dd72334a8e952c870dbeca534f2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623524/https://doaj.org/toc/2169-3536The 5G and beyond-5G (B5G) is expected to be a key enabler for Internet-of-Everything (IoE). The narrowband Internet of Things (NB-IoT) is a low-power wide-area enabling technology introduced by the 3<sup>rd</sup> Generation Partnership in 5G. The objective of the NB-IoT is to enhance the mobile coverage area by increasing the number of repetitions of control and data packets between user equipment (UE) and the base station/evolved NodeB (BS/eNB). While these repetitions improve data delivery for delay-sensitive applications, they degrade the efficiency of the already resource-constrained IoT system by increasing the system overhead and energy consumption. Moreover, NB-IoT devices in the edge region of the cellular coverage area require more repetitions, which augment energy consumption. In this study, we investigate device-to-device (D2D) communication for NB-IoT delay-sensitive applications, such as healthcare-IoT services, to use two-hop communication instead of using a direct uplink. An optimization problem is formulated to achieve an optimal end-to-end delivery ratio (EDR). In addition, this study incorporates Q-Learning-based reinforcement learning (RL) for the selection of an optimal cellular relay, which assists NB-IoT UE in uploading sensitive data to BS/eNB. The proposed RL-intelligent-D2D (RL-ID2D) communication methodology selects the optimum relay with a maximum EDR, which ultimately augments energy efficiency.Ali NaumanMuhammad Ali JamshedYazdan Ahmad QadriRashid AliSung Won KimIEEEarticleDevice-to-device (D2D) communicationmachine learning (ML)narrowband Internet-of-Things (NB-IoT)reinforcement learning (RL)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157584-157596 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Device-to-device (D2D) communication machine learning (ML) narrowband Internet-of-Things (NB-IoT) reinforcement learning (RL) Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Device-to-device (D2D) communication machine learning (ML) narrowband Internet-of-Things (NB-IoT) reinforcement learning (RL) Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ali Nauman Muhammad Ali Jamshed Yazdan Ahmad Qadri Rashid Ali Sung Won Kim Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
description	The 5G and beyond-5G (B5G) is expected to be a key enabler for Internet-of-Everything (IoE). The narrowband Internet of Things (NB-IoT) is a low-power wide-area enabling technology introduced by the 3<sup>rd</sup> Generation Partnership in 5G. The objective of the NB-IoT is to enhance the mobile coverage area by increasing the number of repetitions of control and data packets between user equipment (UE) and the base station/evolved NodeB (BS/eNB). While these repetitions improve data delivery for delay-sensitive applications, they degrade the efficiency of the already resource-constrained IoT system by increasing the system overhead and energy consumption. Moreover, NB-IoT devices in the edge region of the cellular coverage area require more repetitions, which augment energy consumption. In this study, we investigate device-to-device (D2D) communication for NB-IoT delay-sensitive applications, such as healthcare-IoT services, to use two-hop communication instead of using a direct uplink. An optimization problem is formulated to achieve an optimal end-to-end delivery ratio (EDR). In addition, this study incorporates Q-Learning-based reinforcement learning (RL) for the selection of an optimal cellular relay, which assists NB-IoT UE in uploading sensitive data to BS/eNB. The proposed RL-intelligent-D2D (RL-ID2D) communication methodology selects the optimum relay with a maximum EDR, which ultimately augments energy efficiency.
format	article
author	Ali Nauman Muhammad Ali Jamshed Yazdan Ahmad Qadri Rashid Ali Sung Won Kim
author_facet	Ali Nauman Muhammad Ali Jamshed Yazdan Ahmad Qadri Rashid Ali Sung Won Kim
author_sort	Ali Nauman
title	Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
title_short	Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
title_full	Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
title_fullStr	Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
title_full_unstemmed	Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks
title_sort	reliability optimization in narrowband device-to-device communication for 5g and beyond-5g networks
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/60bfa2dd72334a8e952c870dbeca534f
work_keys_str_mv	AT alinauman reliabilityoptimizationinnarrowbanddevicetodevicecommunicationfor5gandbeyond5gnetworks AT muhammadalijamshed reliabilityoptimizationinnarrowbanddevicetodevicecommunicationfor5gandbeyond5gnetworks AT yazdanahmadqadri reliabilityoptimizationinnarrowbanddevicetodevicecommunicationfor5gandbeyond5gnetworks AT rashidali reliabilityoptimizationinnarrowbanddevicetodevicecommunicationfor5gandbeyond5gnetworks AT sungwonkim reliabilityoptimizationinnarrowbanddevicetodevicecommunicationfor5gandbeyond5gnetworks
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Reliability Optimization in Narrowband Device-to-Device Communication for 5G and Beyond-5G Networks

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