5G Dynamic Borrowing Scheduler for IoT communications

Saddoud, Ahlem; Doghri, Wael; Charfi, Emna; Fourati, Lamia Chaari

doi:10.1109/iwcmc.2019.8766631

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first one is a static scheduler that presents an allocation strategy of available resource blocks (in the eNB) between users at one TTI [11]. The second scheduler, named Dynamic Borrowing Scheduler (DBS), presents an extended version of the first scheduler using a borrowing policy for resource block allocation in the purpose to decrease the percentage of flow rejection and to maximize the bandwidth utilization rate [12]. In [13], the authors propose a resource allocation scheme and dynamic power control for the next generation cellular networks (5G).…”

Section: Related Work Of Resource Allocation In 5g Hetnetsmentioning

confidence: 99%

QoS-Aware Resource Allocation and Femtocell Selection for 5G Heterogeneous Networks

Bouaziz¹,

Saddoud

Fourati

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

5G is not a simple cellular technology; it's a real revolution to improve the connection speed that assures Quality of Service (QoS) requirements and user satisfaction in a heterogeneous environment. 5G network is considered as a Het- erogeneous Networks (HetNets) able to support a multitude of speci c use cases (such as Smart Metering and Videoconferencing) and new services, where per- formance requirements will be extremely polarized. In this context, several key issues for 5G communications should be addressed to satisfy QoS provisioning. Radio resource allocation is considered as an important 5G key issue for Inter- net of Things (IoT) communications. In this paper, we propose a QoS-aware resource allocation and femtocell selection for 5G HetNets named QoS-RAS. Our proposed approach maximizes the total resource utilization of the network and it ensures a balanced load by selecting the suitable femtocell for each user and allocating the available resources with an adequate manner. Our work gives the best scenarios that aim to enhance system model performance in terms of resource utilization ratio, dropped request probability, total average throughput and fairness index.

show abstract

Section: Related Work Of Resource Allocation In 5g Hetnetsmentioning

confidence: 99%

QoS-Aware Resource Allocation and Femtocell Selection for 5G Heterogeneous Networks

Bouaziz¹,

Saddoud

Fourati

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…It consists of modernization and installation of new elements [33]. These are necessary for the qualitative provision of services in 4G/5G networks for IoT services [34][35][36][37][38].…”

mentioning

confidence: 99%

End-to-End QoS “Smart Queue” Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks

Beshley

Kryvinska

Seliuchenko

et al. 2020

Sensors

View full text Add to dashboard Cite

This paper proposes a modified architecture of the Long-Term Evolution (LTE) mobile network to provide services for the Internet of Things (IoT). This is achieved by allocating a narrow bandwidth and transferring the scheduling functions from the eNodeB base station to an NB-IoT controller. A method for allocating uplink and downlink resources of the LTE/NB-IoT hybrid technology is applied to ensure the Quality of Service (QoS) from end-to-end. This method considers scheduling traffic/resources on the NB-IoT controller, which allows eNodeB planning to remain unchanged. This paper also proposes a prioritization approach within the IoT traffic to provide End-to-End (E2E) QoS in the integrated LTE/NB-IoT network. Further, we develop “smart queue” management algorithms for the IoT traffic prioritization. To demonstrate the feasibility of our approach, we performed a number of experiments using simulations. We concluded that our proposed approach ensures high end-to-end QoS of the real-time traffic by reducing the average end-to-end transmission delay.

show abstract

A Survey of Green Communication and Resource Allocation in 5G Ultra Dense Networks

Shukla

Sawarkar

2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

5G Dynamic Borrowing Scheduler for IoT communications

Cited by 4 publications

References 6 publications

QoS-Aware Resource Allocation and Femtocell Selection for 5G Heterogeneous Networks

QoS-Aware Resource Allocation and Femtocell Selection for 5G Heterogeneous Networks

End-to-End QoS “Smart Queue” Management Algorithms and Traffic Prioritization Mechanisms for Narrow-Band Internet of Things Services in 4G/5G Networks

A Survey of Green Communication and Resource Allocation in 5G Ultra Dense Networks

Contact Info

Product

Resources

About