A New Channel-Aware Downlink Scheduling Algorithm for LTE-A and 5G HetNets

Ferreira, Flávio Alves; Guardieiro, Paulo Roberto

doi:10.1007/978-981-15-6648-6_14

Cited by 7 publications

(2 citation statements)

References 18 publications

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“…Generally, scheduling schemes aim to satisfy specific performance requirements. Proof of this, the round-robin algorithm was introduced to guarantee an unconditional fair sharing of resources between the users of the same cell [106], [107].…”

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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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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“…We quantified fairness performance using Jain's fairness index, denoted by the variable J index in Equation ( 10) [18], to evaluate how each scheduler fairly distributed the resources between users, where x i is the number of resources assigned to the user i. When users get the same resources, we gain the largest value 1, confirming the system's fairness.…”

Section: Algorithm 1 Aftos Pseudocode Algorithmmentioning

confidence: 99%

Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

Taha¹,

Hacı²,

Serener³

2022

Electronics

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Downlink schedulers play a vital part in the current and next-generation wireless networks. The next generation downlink scheduler should satisfy the demand for different requirements, such as dealing with ultra-dense networks and the need to run real-time (RT) and non-real-time (nRT) applications, with a high quality of service (QoS). Many researchers have developed various schedulers for these, but none have introduced one scheduler to target them all. This paper introduces a novel channel/QoS aware downlink scheduler algorithm, called Advanced Fair Throughput Optimized Scheduler (AFTOS), for ultra-dense networks. AFTOS is a multi-QoS scheduler that aims to maximize system spectrum efficiency and user throughput with enhanced fairness, delay, and packet loss ratio (PLR). It is capable of handling RT and nRT traffic. We developed two new policies, called Adjusted Largest Weighted Delay First (ALWDF) and Fair Throughput Optimized Scheduler (FTOS), for RT and nRT traffic. Then, we joint them to introduce our novel downlink scheduler Advanced Fair Throughput Optimized Scheduler (AFTOS). For evaluating the suggested algorithm, we undertook experiments to decide the ideal parameter value for the proposed approaches and compared the proposed solution to current best practices. The findings prove that the AFTOS algorithm can achieve its objectives, outperforming the alternative techniques.

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A Downlink Scheduling Algorithm Based on Network Slicing for 5G

Wang

Zhang

et al. 2021

Communications and Networking

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A New Channel-Aware Downlink Scheduling Algorithm for LTE-A and 5G HetNets

Cited by 7 publications

References 18 publications

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

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

Novel Channel/QoS Aware Downlink Scheduler for Next-Generation Cellular Networks

A Downlink Scheduling Algorithm Based on Network Slicing for 5G

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