Revisiting security of proportional fair scheduler in wireless cellular networks

Park, Hanjin; Ye, Yi; Kim, Yong‐Dae

doi:10.1016/j.comnet.2014.09.009

Cited by 1 publication

(2 citation statements)

References 31 publications

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“…The bandwidth of each station could be determined using the proportional fairness scheduling technique [46]. Generally, scheduling algorithms as reported in [47] are used to reduce the negative effects of delay, packet loss rate, throughput, and delay jitter in order to improve the QoS.…”

Section: Methodsmentioning

confidence: 99%

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New vertical handover prediction schemes for LTE-WLAN heterogeneous networks

et al. 2019

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Providing complete mobility along with minimizing the poor quality of service (QoS) is one of the highest essential challenges in mobile wireless networks. Handover prediction can overcome these challenges. In this paper, two novel prediction schemes are proposed. The first, depends on scanning the quality of all signals among mobile station and all nearby stations in the surrounding area, while the second one is based on a multi-criteria prediction decision using both the signal-to-noise ratio SNR value and station’s bandwidth. Moreover, the prediction efficiency is improved by reducing the number of redundant/ unnecessary handovers. The proposed schemes are evaluated using different scenarios with several mobile stations’ numbers, different WLAN access points, LTE-base station number & location, and random mobile station movement manner. The proposed schemes achieved a success rate of 99% with the different scenarios using LTE-WLAN architecture. The performance of the proposed prediction schemes outperformed the performance of the existing prediction schemes in terms of the accuracy percentage.

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Section: Methodsmentioning

confidence: 99%

“…To overcome this problem, short time slots are devoted to transfer data. The proportional fair scheduling technique [46] is used to determine the proper time slots and avoid the negative effects on the QoS.…”

Section: Proposed Handover Prediction Schemesmentioning

confidence: 99%