Effective Scheduling Policies to Optimize Radio Resources between NR-gNodeB and Device to Device Systems in 5G

Priyadharsini, Naveena A.; Selvi, S. Tamil

doi:10.1007/s11277-019-06604-7

Cited by 5 publications

(3 citation statements)

References 30 publications

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“…The proposed algorithm deals with the impact of multi-cell interference management and controls the deactivate node of base station. Priyadharsini et al [17]. At long last, the outcome proclaims that relative reasonable calculation convey most extreme throughput and exceptionally low inactivity.…”

Section: Related Workmentioning

confidence: 97%

“…The exclusive mutual device degraded the performance of cellular as well as D2D communication. The mode of communication improves the efficiency of resources such as direct, cooperative, and two hopes [17]. The dimension space of resource and device map in three-dimensional resource management estimates the pair of devices and improves the efficiency of resource and energy in dedicated networks.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Jatav

Datar²,

Malviya³

2021

Intelligent Sustainable Systems

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The proposed algorithm uses the particle swarm optimization algorithm. The applied particle swarm intelligence defines dual constraints function for the resource allocation in shared environments. The optimization process reduces the transmit power of D2D users and cellular users and increases the efficiency of the communication mode. The proposed algorithm describes the way of communication in the dedicated system model of the D2D communication interface. The proposed algorithm reduces the inference links and enhances the quality of service for the communication system. The incorporation of particle swarm optimization algorithm maintains the equilibrium state in both users. The proposed algorithm simulates in MATLAB environments and estimates the standard parameters. The analysis of results indicates that the proposed algorithm is better than the existing algorithms of D2D communication.

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Section: Related Workmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Jatav

Datar²,

Malviya³

2021

Intelligent Sustainable Systems

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show abstract

“…At the same time, the best CQI attributes the radio resource only to users having the best channel conditions. Thus, it maximizes the spectral efficiency and increases cell throughput to the detriment of fairness [108]. In this context, the Proportional Fair algorithm evaluates the history of resource allocation of each data flow and then allocates RBs to UEs that were neglected in previous iterations to address the fairness issue, avoid resource starvation, and improve the data rate [74], [109].…”

Section: Scheduling Algorithms Classification Based On Performance Goalsmentioning

confidence: 99%

Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey

et al. 2022

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Over the years, several research groups have been developing effective and efficient scheduling algorithms to enhance the quality of service of mobile communication networks. The arrival of the fifth generation of mobile networks (5G) has shown the importance of advanced scheduling techniques to manage the limited frequency spectrum available while achieving 5G transmission requirements. This issue was picked up extensively within the research community due to the increasing demand for mobile communications and the desire for a fully connected world. Consequently, the scientific community has developed novel approaches and varied scheduling schemes to meet the needs of various applications and scenario conditions. In this context, this paper presents an overview of the state-of-the-art methods, highlights seminal and innovative research, and investigates the current state of 5G radio resource management. This review of literature compares emerging strategy methods based on their metrics, analyzes their performances, and emphasizes the existing works with a vision for the future of modern 5G and upcoming networks in terms of radio resource allocation to provide a thorough introspection of the literature. Furthermore, gaining a better understanding of the radio resource management state-of-the-art would provide valuable information for future work and might be helpful for new researchers in the field.

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Adaptive Spectrum Aggregation Regimen for Downlink NR-gNodeB and Device to Device Systems in 5G

Priyadharsini¹,

Selvi²

2020

Wireless Pers Commun

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Effective Scheduling Policies to Optimize Radio Resources between NR-gNodeB and Device to Device Systems in 5G

Cited by 5 publications

References 30 publications

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Optimization of Resource and Energy Utilization in Device-to-Device Communication Under Cellular Network

Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey

Adaptive Spectrum Aggregation Regimen for Downlink NR-gNodeB and Device to Device Systems in 5G

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