An Enhanced Weighted Fair Queuing Scheduling for WIMAX Using QualNet

You, Sin Yong; Sali, Aduwati; Noordin, Nor Kamariah; Ng, Chee Kyun

doi:10.1109/cimsim.2012.96

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…This will become very exciting when it comes to perform simulation on more frames. In research [16], they comes up with the WFQ algorithm utilization. From this algorithm, they obtained effective allocation bandwidth over real time flows.…”

Section: Literature Surveymentioning

confidence: 99%

Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network

D S*,

Chitnis

2019

IJITEE

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Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm.

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Section: Literature Surveymentioning

confidence: 99%

Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network

D S*,

Chitnis

2019

IJITEE

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“…The weight parameter can be derived by different type of parameters such as packet delay, average data rate, queue length, etc. WFQ has been evaluated in [4] and an enhanced version of WFQ in WiMAX whereby the minimum reserved rate (MRR) is used as weight parameter [10].…”

Section: A Channel Non-aware Schedulersmentioning

confidence: 99%

“…where ( ) is the expected data rate for the i-th user at t time on the k-th resource block, and is calculated based on (10) and ̅̅̅ ( − 1) is the past average throughput achieved by data flow of the i-th user, that has been scheduled.…”

Section: Exaggerated Earliest Dealine First (E2df)mentioning

confidence: 99%

Low Complexity in Exaggerated Earliest Deadline First Approach for Channel and QoS-aware Scheduler

Saed¹,

Wee²,

Siew-chin³

et al. 2014

JCM

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Long Term Evolution (LTE) is a Quality of Service (QoS) provisioning wireless network for today's technology and as well as for future demands. There is a high demand for better network performance over LTE network, either for real-time or non-real-time traffic. Specifically, the existing scheduling algorithms for real-time application, Exponential/Proportional Fair (EXP/PF), Proportional Fair (PF), and Modified-Largest Weighted Delay First (M-LWDF) have not fully optimized in LTE network. Hence, this paper aims to deliver new scheduling algorithm in the LTE network which overcomes several QoS and channel concerns. Several algorithms were studied, tested and compared which includes EXP/PF, PF, and M-LWDF, which are the popular scheduling algorithms for real-time application in today's deployment. A typical LTE network is simulated and several experiments were conducted. Extensive simulation results showed that our proposed scheduling algorithm, Exaggerated Earliest Deadline First (E2DF), has outperformed the three existing scheduling algorithms. The proposed algorithm is a LTE compliance module and it able to provide great performance improvement as compared to the other algorithms for real-time application.  Index Terms-LTE, scheduling algorithm, quality of service, 4G, wireless network.

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An Enhanced Weighted Fair Queuing Scheduling for WIMAX Using QualNet

Cited by 2 publications

References 5 publications

Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network

Optimized Uplink Scheduling Model through Novel Feedback Architecture for Wimax Network

Low Complexity in Exaggerated Earliest Deadline First Approach for Channel and QoS-aware Scheduler

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