5G Enhanced Mobile Broadband Downlink Scheduler

Saglam, Mehmet Izzet; Kartal, Mesut

doi:10.23919/eleco47770.2019.8990378

Cited by 6 publications

(9 citation statements)

References 12 publications

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“…We present in this paragraph the analysis of the simulation results of the proposed proportional fair buffer (PFB) scheduler compared to conventional scheduling algorithms (Round Robin [9], best CQI [10], and proportional fair [11]) and the recent algorithms in the literature (CQI scheduler [22] and Lean Scheduler [15]). The obtained results are analyzed in terms of throughput, goodput, fairness, and accumulated buffer values.…”

Section: Resultsmentioning

confidence: 99%

“…EXP-MLWDF, based on the modified largest weighted delay first (MLWDF) algorithm, this scheme promotes the users with bad channel conditions by applying the exponential term on the MLWDF metric as detailed in [14]. In [15], M. I. Saglam and M. Kartal the authors proposed a 5G NR eMBB downlink lean algorithm that aims to balance resource efficiency and flow fluency. In order to improve the overall QoS, the authors in [16] proposed a powerefficient QoS Scheduler.…”

Section: Introductionmentioning

confidence: 99%

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Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband

Mamane

Fattah

Ghazi

et al. 2021

IJECE

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The impending next generation of mobile communications denoted 5G intends to interconnect user equipment, things, vehicles, and cities. It will provide an order of magnitude improvement in performance and network efficiency, and different combinations of use cases enhanced mobile broadband (eMBB), ultra reliable low latency communications (URLLC), massive internet of things (mIoT) with new capabilities and diverse requirements. Adoption of advanced radio resource management procedures such as packet scheduling algorithms is necessary to distribute radio resources among different users efficiently. The proportional fair (PF) scheduling algorithm and its modified versions have proved to be the commonly used scheduling algorithms for their ability to provide a tradeoff between throughput and fairness. In this article, the buffer status is combined with the PF metric to suggest a new scheduling algorithm for efficient support for eMBB. The effectiveness of the proposed scheduling strategy is proved through à comprehensive experimental analysis based on the evaluation of different quality of service key performance indicators (QoS KPIs) such as throughput, fairness, and buffer status.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband

Mamane

Fattah

Ghazi

et al. 2021

IJECE

View full text Add to dashboard Cite

show abstract

“…On the other hand, the authors in [93] suggest a scheduling approach that extends the earliest deadline first (EDF) task scheduling, used primarily in operating systems, into slice scheduling by modeling delayed traffic as a task instance, substituting CPU time with radio resources, and responding to changes in radio resource needs. Considering the Lean production methodology initially proposed for the automotive industry, the authors in [87] proposed a 5G NR eMBB downlink lean scheduler that associates the resources with the production goal through a Lean matrix. In this scheduler, they used the log of the PF…”

Section: A Scheduling Algorithms Classification Based On the Metric Usedmentioning

confidence: 99%

“…In table 6, we summarize the scheduling algorithms aforementioned, sorted by their performance goals. The lean scheduler presented in [87] uses the Lean efficiency matrix to ensure the trade-off between the spectral efficiency and the throughput enhancement.…”

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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“…The widespread rollout of fifth generation (5G) networks is not very far from becoming a reality [ 1 , 2 , 3 , 4 , 5 , 6 ]. In such networks, there are three types of services whose requirements guide the technological evolution: massive machine type communications (mMTC), supporting millions of Internet of Things (IoT) devices with intermittent activity and transmission of small data packets [ 7 ], ultra-reliable and low-latency communications (URLLC), allowing zero-latency communication with high reliability, such as in critical and emergency applications as well as communications among connected vehicles [ 8 ], and enhanced mobile broadband (eMBB), accommodating traffic with high data rates, as well as cell-edge users’ connectivity [ 9 ]. As the 5G era introduces various advantages towards providing ubiquitous coverage with high data rate availability, densification and high capillarity of access points are required to enhance 5G system capacity [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

Trakadas

Sarakis

Giannopoulos

et al. 2021

Sensors

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The provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth generation (5G) broadband wireless networks. To this end, a dynamic network design approach is adopted whereby network topology is configured according to service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred to as non-public networks (NPNs), since this deployment is expected to leverage holistic production monitoring and support critical applications. In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge computing, and AI/ML-based network optimization. In the same framework, potential applications of our proposed approach in real world scenarios (e.g., support of mission critical services and computer vision analytics for emergencies) are described. Finally, scalability issues are also highlighted since a deployment framework of our architectural design in an additional real-world scenario related to Industry 4.0 (smart manufacturing) is also analyzed.

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5G Enhanced Mobile Broadband Downlink Scheduler

Cited by 6 publications

References 12 publications

Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband

Proportional fair buffer scheduling algorithm for 5G enhanced mobile broadband

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

A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

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