A Novel Algorithm to Improve Quality of Service of Cell Edge Users in LTE

Lodwal, Himani; Yadav, Abhinav; Panchal, Manish

doi:10.1007/978-981-13-2673-8_26

Cited by 2 publications

(5 citation statements)

References 4 publications

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“…In the working cell, there is one eNB at the center of cell and the cell has a radius of 5km. For the ease of algorithm implementation, the cell is assumed to have two regions inner region having radius Ω and outer region [1]. The UEs are spread or distributed in the cell as shown in figure 4.…”

Section: System Model For Proposed Methods ( Ie-mlwdf )mentioning

confidence: 99%

“…The simulation time is set to be 30 seconds. As the total cell area has been divided into two regions, the users outside the inner region of the cell having eNB at a distance greater than Ω are considered as the 'cell-edge users' [1]. an enhanced version of E-MLWDF and the scheduling algorithm that has concern with Delay Threshold of user, HOL delay i.e.…”

Section: System Model For Proposed Methods ( Ie-mlwdf )mentioning

confidence: 99%

“…LTE architecture consists of 2 components: (1) Core Network and (2) Access Network. Access network can be defined as Evolved Universal Terrestrial Radio Access Network (E-UTRAN) [1]. Core network is totally Packet Switched.…”

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].…”

Section: Introductionmentioning

confidence: 99%

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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: System Model For Proposed Methods ( Ie-mlwdf )mentioning

confidence: 99%

Section: System Model For Proposed Methods ( Ie-mlwdf )mentioning

confidence: 99%

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].…”

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

Self Cite

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show abstract

“…Cell area consist of center and edge region [14]. Cell-center user's experience good QoS and high data rate due to high received signal and low fading effects [15]. Meanwhile, users at the cell-edge area experience poor QoS and low data rate due to low received signal and high fading effects.…”

Section: Cellular Networkmentioning

confidence: 99%

A Review on Techniques to Improve the Cell Edge Performance for Wireless Networks

Mustaffa¹

2020

IJATCSE

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Massive increase demand to support higher data rates for broadband services like online gaming, video on demand (VoD), triple play over wireless networks requires higher data rates. In wireless networks, the received signal power decrease as the propagation distance increase. This results in the following data rate coverage behavior where users at the center-region experienced excellent QoS performance. However, in cell edge region, user experience poor QoS where the spectral efficiency and power efficiency are very low. This is due to low received signal and high fading effects where cell-edge user is far away from Access Point (AP). Due to this scenario, various techniques have been present but there are still some challenges that have not been adopted by previous researches. This paper presents A Review on Techniques to Improve the Cell Edge Performance for Wireless Networks. In this paper, review of published researches starting from 2015 onwards that focus on improvement of cell edge performance is presented. The study can be divided into two parts which are techniques for cell edge improvement over cellular networks and WLAN respectively. In the literature, there are numerous approaches by previous researchers to achieve a better performance of cell edge user's over cellular networks: such as Cooperative Transmission Scheme, Packet Scheduling, Soft Frequency Reuse and Downlink Optimal Power Allocation Scheme. While in Wireless LAN, there are only several work that have been done, and most of the approach focus on link adaptation technique. In order to solve the cell-edge issue in WLAN, the author proposed Adaptive Modulation Coding and Scheme for IEEE 802.11ac.

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A Novel Algorithm to Improve Quality of Service of Cell Edge Users in LTE

Cited by 2 publications

References 4 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

A Review on Techniques to Improve the Cell Edge Performance for Wireless Networks

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