Applying genetic algorithms to the data traffic scheduling and performance analysis of a long-term evolution system

Tseng, Hsien‐Wei; Lee, Wei‐Chen; Sheu, Chorng-Ren; Lee, Yang-Han; Jan, Yih-Guang

doi:10.1109/ispacs.2012.6473477

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Research Towards Scheduling Problems1

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2020

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“…The study outcomes display that the presented method reduced the interference and perform well in compared to existing method. Ferdosian et al considered difficulty in scheduling for heterogeneous traffic in overload phase in LTE download link in which user's channel details are varying and isnot fixed [17]. Here, an analytical framework is considered and presented a Fractional Knapsack algorithm to achieve QoS requirement and for efficient consumption of resource for heterogeneous traffic in overload state of cell.…”

Section: Research Towards Scheduling Problemsmentioning

confidence: 99%

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: Research Towards Scheduling Problemsmentioning

confidence: 99%