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

Symmetry ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 81 ◽  
Author(s):  
Hasibur Chayon ◽  
Kaharudin Dimyati ◽  
Harikrishnan Ramiah ◽  
Ahmed Reza
Keyword(s):  
Quality Of Service ◽  
Lte Networks ◽  
Cell Edge ◽  
Cell Edge User

scholarly journals Improving quality of service for cell-edge user in D2D-relay networks

2021 ◽  
Author(s):  
Xuefeng Xing ◽  
jing Cao ◽  
hongtao Zhou
Keyword(s):  
Quality Of Service ◽  
Power Allocation ◽  
Relay Networks ◽  
Spectrum Efficiency ◽  
Cell Edge ◽  
Relay Communications ◽  
Lagrangian Dual ◽  
Communication Scheme ◽  
Cell Edge User

Abstract In this paper, we investigate a scenario of D2D-relay communications where one D2D user may help cell-edge user to exchange information for improving its quality of service (QoS). We formulate a resource allocation problem, which aims at maximizing the data rate of the cell-edge user. In particular, we propose an iterative power allocation algorithm and derive the optimal closed-form power allocation expressions by Lagrangian dual method. Simulation results verify the theoretical solution and show that our D2D-relay scheme achieves higher spectrum efficiency than the traditional cellular-relay communication scheme.

scholarly journals Throughput and Fairness Optimal Scheduling for High Speed Cell Edge Users in LTE Networks

2019 ◽  
Vol 9 (2S3) ◽  
pp. 253-258
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
High Speed ◽  
Scheduling Algorithm ◽  
System Capacity ◽  
Radio Resource Allocation ◽  
Radio Resource ◽  
Lte Networks ◽  
Cell Edge

Guaranteeing Quality of Service (QoS) to mobile users is the primary aim of cellular broadband system like Long Term Evolution (LTE). Radio resource allocation and scheduling are two important functions in the LTE networks to enhance the quality of service. For increasing the generally user experience, an efficient radio resource allocation and Scheduling algorithm should be used. However, this became a non-trivial task as the demands and requirements of user data changes day-to-day. In these situations, with the limited radio resources, maximum system capacity can be obtained on expense of unfair share of the resources. In this work, high speed cell edge users are considered as they experience poor signal strength and their quality of service degrades when they move away from Evolved-Nodes (e-Nodes). Here, a novel scheduling algorithm has been introduced to extend the cell edge throughput amid during high mobility scenarios. The proposed scheduling scheme will be compared with the conventional schemes like best CQI, RR and PF in terms of throughput and fairness. It is presented that the proposed scheme gives better performance against the conventional ones in the chosen scenario.

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

2019 ◽  
Vol 8 (2) ◽  
pp. 2589-2594
Keyword(s):  
Quality Of Service ◽  
High Speed ◽  
Network Performance ◽  
Scheduling Algorithm ◽  
Research Work ◽  
Lte Networks ◽  
Cell Edge ◽  
High Speed Data ◽  
Experience Good

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 cell - edge 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 be extended or improved to make it more effective.

Quality of service in WiMAX and LTE networks [Topics in Wireless Communications

2010 ◽  
Vol 48 (5) ◽  
pp. 104-111 ◽  
Author(s):  
Mehdi Alasti ◽  
Behnam Neekzad ◽  
Jie Hui ◽  
Rath Vannithamby
Keyword(s):  
Quality Of Service ◽  
Wireless Communications ◽  
Lte Networks

A Survey of Quality of Service in Long Term Evolution (LTE) Networks

2021 ◽  
pp. 563-583
Author(s):  
Elisavet Grigoriou
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
Admission Control ◽  
Power Saving ◽  
Video On Demand ◽  
Vital Role ◽  
Lte Networks ◽  
Lte Advanced ◽  
Detailed List

In the past few years, it's observed that cellular operators have experienced a fast growth of mobile broadband subscribers and traffic volume per subscriber. Simultaneously, operators are moving from a single to a multi-service offering by adding new services. This chapter presents a survey of the Quality of Service (QoS) drivers in LTE and LTE-Advanced, focusing on IP Frameworks and IP Services. It also includes a detailed list and description of the resource management mechanisms, such as power saving, admission control, scheduling and resource allocation that play a vital role in QoS. The authors describe the State-of-the-Art in IP frameworks and Services such as video, VoIP, Video on Demand (VoD). Also, resource management mechanisms are described such as Energy efficiency, admission control, and scheduling. In the end, the authors mentioned the future directions about QoS in 5G networks.

Medical Quality of Service (m-QoS) and Quality of Experience (m-QoE) for 4G-Health Systems

2013 ◽  
pp. 359-376 ◽  
Author(s):  
Robert S. H. Istepanian ◽  
Ali Alinejad ◽  
Nada Y. Philip
Keyword(s):  
Quality Of Service ◽  
Health Systems ◽  
Mobile Communications ◽  
Quality Of Experience ◽  
Mobile Wimax ◽  
Medical Systems ◽  
Lte Networks ◽  
High Data ◽  
Medical Quality

It is well known that the evolution of 4G-based mobile multimedia network systems will contribute significantly to future m-health applications that require high bandwidth, high data rates, and more critically better Quality of service and quality of experience. The key to the successful implementation of these emerging applications is the compatibility of emerging broadband wireless networks such as mobile WiMAX, HSUPA, and LTE networks with future m-health systems. Most recently, the concept of 4G-health is introduced. This is defined as the evolution of m-health towards targeted personalized medical systems with adaptable functionalities and compatibility with future 4G communications and network technologies. This new concept represents the evolution of m-health toward 4G mobility. It will have new challenges especially from the next generation of mobile communications and networks perspective and in particular from relevant quality of service and quality of experience issues. This chapter presents some of these challenges and illustrates the importance of the new concepts of medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE) for 4G-health systems. The chapter also presents a validation scenario of these concepts for medical video streaming application as a typical 4G-health scenario.

scholarly journals Analysis of handover based on the use of femtocells in LTE networks

2015 ◽  
Vol 1 (2) ◽  
pp. 21
Author(s):  
Ketyllen Da Costa Silva ◽  
Carlos P. Alves da Silva ◽  
Andre C. De Sousa Donza ◽  
Carlos Renato Frances ◽  
Nandamudi L. Vijaykumar
Keyword(s):  
Quality Of Service ◽  
Objective Measure ◽  
Long Term Evolution ◽  
Data Rate ◽  
Lte Networks ◽  
Promising Alternative ◽  
Term Evolution ◽  
Handover Mechanism

One of the key elements in the networks LTE (Long Term Evolution) is the possibility of deploying multiple femtocells for the improvement of coverage and data rate. However, arbitrary overlapping coverage of these cells makes the handover mechanism complex and challenging. In this paper, simulations of deploying LTE femtocells in a scenario were evaluated. With this objective, measure impact and correlation of the use of femtocell parameters of QoS (Quality of Service) and handover. Possible limitations of this integration are discussed. Will be the integration of LTE femtocell a panacea? Despite this promising alternative estimates are fraught with uncertainty. The results show that the use of femtocell got worse on indicators of handover, impact on indicators of QoS.

A Survey of Quality of Service in Long Term Evolution (LTE) Networks

2019 ◽  
pp. 125-146
Author(s):  
Elisavet Grigoriou
Keyword(s):  
Quality Of Service ◽  
Resource Management ◽  
Admission Control ◽  
Power Saving ◽  
Video On Demand ◽  
Vital Role ◽  
Lte Networks ◽  
Lte Advanced ◽  
Detailed List

In the past few years, it's observed that cellular operators have experienced a fast growth of mobile broadband subscribers and traffic volume per subscriber. Simultaneously, operators are moving from a single to a multi-service offering by adding new services. This chapter presents a survey of the Quality of Service (QoS) drivers in LTE and LTE-Advanced, focusing on IP Frameworks and IP Services. It also includes a detailed list and description of the resource management mechanisms, such as power saving, admission control, scheduling and resource allocation that play a vital role in QoS. The authors describe the State-of-the-Art in IP frameworks and Services such as video, VoIP, Video on Demand (VoD). Also, resource management mechanisms are described such as Energy efficiency, admission control, and scheduling. In the end, the authors mentioned the future directions about QoS in 5G networks.

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