Standard-Compliant LTE-A Uplink Scheduling Scheme With Quality of Service

Ragaleux, Alexandre; Baey, Sébastien; Karaca, Mehmet

doi:10.1109/tvt.2017.2654299

Cited by 24 publications

(13 citation statements)

References 30 publications

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“…A novel Downlink Traffic Arrangement approach is introduced to adopt arrangement downlink traffic with double connectivity improvement for LTE-A small network. The simulation outcomes show that novel scheduling approach can successfully improve the throughput of network with double connectivity enhancement for LTE-A small network [39]. The paper has presented by Ragaleux et al discuss about the frequency and time resulting issues in LTE-A network.…”

Section: 53 Aptikom J Csitmentioning

confidence: 94%

A research survey on scheduling techniques in lte-based network and its state of art

Srinivasa¹,

A.R2²

2020

csit

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Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed users communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed users’ communication in cognitive radio networks.

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Section: 53 Aptikom J Csitmentioning

confidence: 94%

A research survey on scheduling techniques in lte-based network and its state of art

Srinivasa¹,

A.R2²

2020

csit

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“…Ragaleux et al 23 have concentrated on the UL schedule imposed by the LTE/LTE-A standard with the practical constraints. The authors considered the multimedia traffics for generating the mobile user for heterogeneous requirements in help of QoS.…”

Section: Related Workmentioning

confidence: 99%

Multiobjective cooperative swarm intelligence algorithm for uplink resource allocation in LTE‐A networks

Moses¹,

Balakrishnan²

2019

Trans Emerging Tel Tech

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Nowadays, Long-Term Evolution Advanced (LTE-A) network is the primary innovation in 4G networks. The LTE-A networks convey exceptional data rates and low latency for few sorts of application. Sometimes, in LTE-A, the multiobjective uplink resource allocation is the perplexing optimization problem, and this problem is considered as 0-1 multiobjective knapsack trouble. In order to overcome this trouble, a multiobjective cooperative swarm intelligence algorithm for resource allocation is proposed in this paper. In our proposed work, hybrid firefly algorithm (FFA) and particle swarm optimization (PSO) algorithm are utilized to solve 0-1 multiobjective knapsack problem. Initially, a priority and urgency factor (urgency of packets)-based user ranking and quantifying scheme is designed for scheduling process. After the scheduling process, the resource allocations employ three objective functions, such as maximization of resource utilization, maximization of quality of service (QoS), and interference minimization. The optimization problem is overcome by using the hybrid FFA and PSO algorithm. The experimental outcomes demonstrate that it has the best QoS and less interference in the resource allocation in LTE-A network than state-of-art methods in the proposed strategy.Trans Emerging Tel Tech. 2019;30:e3748.wileyonlinelibrary.com/journal/ett

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“…Although there is advancement in introducing of new physical layer techniques, but resource allocation algorithms should also evolve to adapt to these new ways of using mobile networks and meet mobile users "requirements [4]. Several scheduling algorithms are available in literature i.e.…”

Section: Literature Surveymentioning

confidence: 99%

End-to-End Performance Evaluation of Service Aware LTE- A Uplink Scheduler

Shuaib¹,

Bilal²,

Nazir³

2018

IJCA

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In order to meet requirements of modern mobile users, 3GPP (3 rd Generation Partnership Project) has introduced LTE-A (Long Term Evolution Advanced), which improves the throughput and lowers the latency as compared to previous mobile systems. In order to efficiently allocate radio resources to mobile users, number of schedulers is available in literature. However, most of them are either for downlink, or they do not consider the LTE-A uplink functionalities. This paper presents an LTE-A uplink scheduler called (SA) Service Aware scheduler. The SA scheduler is design in accordance with LTE-A uplink specific features. As the simulation results illustrate, the proposed SA scheduling scheme outperforms other contemporary scheduling schemes by achieving better end-to-end delay and maintaining the uplink cell throughput performance. General TermsRadio resources management in LTE-A

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Standard-Compliant LTE-A Uplink Scheduling Scheme With Quality of Service

Cited by 24 publications

References 30 publications

A research survey on scheduling techniques in lte-based network and its state of art

A research survey on scheduling techniques in lte-based network and its state of art

Multiobjective cooperative swarm intelligence algorithm for uplink resource allocation in LTE‐A networks

End-to-End Performance Evaluation of Service Aware LTE- A Uplink Scheduler

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