Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

Chayon, Hasibur Rashid; Dimyati, Kaharudin; Ramiah, Harikrishnan; Reza, Ahmed Wasif

doi:10.3390/sym9060081

Cited by 16 publications

(13 citation statements)

References 21 publications

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“…UEs. This parameter can be defined as, averaged HOL delay over total simulation time [2]. Overall, 43.971 percent and 64.543 percent decrement has been achieved by the proposed IE-MLWDF algorithm as compare to E-MLWDF and MLWDF algorithms respectively.…”

Section: Resultsmentioning

confidence: 95%

“…Evolved Packet Core (EPC) is the Core Network in LTE [8]. The architecture reduces connections and also the handovers to other permanent lines and wireless technologies [2]. The functionalities like access control functions, network management functions and resource management are achieved with the help of core network and access network.…”

Section: System Architecture and Radio Frame For Lte / Lte-amentioning

confidence: 99%

“…6 OFDM symbols are used for extended cyclic prefix (CP) and 7 OFDM symbols for normal CP. In default configuration, 7 symbols are used [2]. The data transmission in LTE / LTE-A is organized as physical resources which are represented by a time-frequency resource grid consisting of Physical Resource Blocks (PRB) [3][6] [9].…”

Section: System Architecture and Radio Frame For Lte / Lte-amentioning

confidence: 99%

“…LTE is a project named by Third Generation Partnership Project (3GPP) [1]. This is new and advanced level for wireless networks and essentially LTE-A is the upgraded form of LTE [2]. The 3GPP LTE is very flexible radio interface.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Quality of Service (QoS) Aware Scheduling Algorithm to Boost QoS of Cell-Edge Users in LTE Networks

Lodwal¹,

Yadav²,

Panchal³

2019

IJRTE

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LTE is the abbreviation of Long Term Evolution. LTE networks are developed to provide enhanced Quality of Service (QoS), as today's cellular world and its high speed multimedia applications demand variety of QoS along with a high speed data rate. Scheduling is a key feature of any network to achieve QoS requirements. The QoS widely depends on the distance of user from the Evolved-Node-B (eNB). The user near eNB experience good QoS and the user far away from eNB experiences poor QoS. The system performance is widely affected due to this. Hence, the ultimate and supreme goal of this research work is to enhance the QoS of the cell edge user and improve network performance. Proposed scheduling algorithm i.e. Improved Extended Modified Largest Weighted Delay First (IE-MLWDF) improves the cell edge throughput along with QoS of the celledge users. The paper compares IE-MLWDF with its previous versions namely Modified Largest Weighted Delay First (MLWDF) and Extended -MLWDF in terms of various network parameters. This paper presents a detailed analysis of a scheduling algorithm to enhance QoS of cell edge users to provide better network goals. This algorithm can further beextended or improved to make it more effective.

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Section: Resultsmentioning

confidence: 95%

Section: System Architecture and Radio Frame For Lte / Lte-amentioning

confidence: 99%

Section: System Architecture and Radio Frame For Lte / Lte-amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Quality of Service (QoS) Aware Scheduling Algorithm to Boost QoS of Cell-Edge Users in LTE Networks

Lodwal¹,

Yadav²,

Panchal³

2019

IJRTE

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“…With LTE, it is possible to operate with a different size band with the following possibilities: 1.4, 3, 5, 10, 15 and 20 MHz, for downstream and upstream directions. The goal is to let a flexible deployment according to the needs of the operators and the services they wish to offer (Chayon et al, 2017).…”

mentioning

confidence: 99%

Performance analysis of 4G broadband cellular networks

Almazroi¹

2018

Int. j. adv. appl. sci.

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Mobile and wireless networks have recently seen a remarkable development at the global level. This applies to previous and current generations, which have seen the development of telecommunications networks mainly in GSM, 2G, UMTS and 3G networks. Evolutions are continuing everywhere of specialized networks such as sensors, smart tags, and telecom networks. They now see contend solutions which coming from various horizons: classic telecom world with HSDPA, world of wireless networks with WiMAX even in the world of satellite and terrestrial broadcasting (DVB-T, DVB-H, DVB-S). The fourth-generation (4G) wireless network is truly a turning point in the proliferation and disparity of existing solutions. The main parameters of the 4G network that have made this network the best and the most expensive are its very high bandwidth used, the much lower latency than in the 3G network, a high bandwidth, a flexible frequency band, and a interoperability with other networks so this parameter gives the choice to the user for their use within the 4G. This paper presents an analysis of the performance of 4G networks and its different Quality of Service. A simulation demonstrating the performance of 4 th generation cellular networks is presented. Good simulation and good results were obtained using the NetSim simulator.

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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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Enhanced Quality of Service of Cell-Edge User by Extending Modified Largest Weighted Delay First Algorithm in LTE Networks

Cited by 16 publications

References 21 publications

A Quality of Service (QoS) Aware Scheduling Algorithm to Boost QoS of Cell-Edge Users in LTE Networks

A Quality of Service (QoS) Aware Scheduling Algorithm to Boost QoS of Cell-Edge Users in LTE Networks

Performance analysis of 4G broadband cellular networks

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

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