Dynamic Resource Aware Scheduling Schemes for IEEE 802.16 Broadband Wireless Networks

Priya, M. Deva; Malar, A. Christy Jeba; Schmidt, Péter; Sandhya, G.; Varthan, L. R. Vishnu; Vignesh, R.

doi:10.1007/978-981-15-6584-7_22

Cited by 3 publications

(5 citation statements)

References 22 publications

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“…The results of the simulation show that the proposed scheme significantly improves the efficiency of the network in comparison to other schemes, both in terms of ensuring the quality of service for all service classes and accepting a greater number of connections into the network. In addition, Deva Priya and colleagues [19] have proposed dynamic resource-aware scheduling schemes for use in IEEE 802.16 broadband wireless networks. While still catering to the specific traffic flows that are being addressed, the scheme enables a greater number of packets to be serviced in the same round.…”

Section: Related Workmentioning

confidence: 99%

“…The method also takes into account the contents of the buffer, as well as the backoff stage and the backoff counter. Varthan and Vignesh [22] have conducted research on a dynamic resource-aware scheduling scheme for IEEE 802.16 broadband wireless networks. In a similar vein, Mou and Srivastava [23] looked into the potential applications of IEEE 802.16 for the Internet of Things (IoT).…”

Section: Related Workmentioning

confidence: 99%

“…The inadequacy of the parameterization tools is still an outstanding concern when assessing these procedures; nevertheless, these predicaments can be alleviated by applying the principles of automatic detection. It is important to point out that the aforementioned works [14][15][16][17][18][19][20] continue to concentrate on a rigid scheduling standard. Despite this, there has not been a lot of discussion about the best way to use detection of balanced allocation of unsegmented bandwidth in WIMAX for practical applications.…”

Section: Related Workmentioning

confidence: 99%

“…Despite this, there has not been a lot of discussion about the best way to use detection of balanced allocation of unsegmented bandwidth in WIMAX for practical applications. Therefore, as a result of the past successful applications that Chuck and Chang [14] have had for recycling unused bandwidth, which has motivated the studies of [14][15][16][17][18][19][20][21][22][23][24][25][26][27], this study provides strategies on Effective Utilization of An Unused Bandwidth in IEEE 802.16 Networks.…”

Section: Related Workmentioning

confidence: 99%

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Effective Utilization of An Unused Bandwidth in IEEE 802.16 Network

Abubakar Ibrahim,

Salsabil,

Lawal

2022

JTEC

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A large percentage of available bandwidth in IEEE 802.16 networks can be utilised by using previous unused bandwidth. This is a common problem that occurs inside IEEE 802.16 networks, and it manifests itself when a subscriber station in an IEEE 802.16 network's Quality of Service (QOS) assured services is unable to predict how much data is being held back as unused bandwidth. As a direct consequence of this fact, the ongoing research has proposed simulating the process by which the remainder of the reserved bandwidth that is not being used will be recycled in order to enhance the Quality of Service and preserve the existing bandwidth reservation. Therefore, it was conceived that bandwidth might be reserved in the subscriber station separately from the bandwidth that is used for the downlink and the uplink of data transmission. This would prevent wasting the bandwidth. Through the utilization of an appropriate scheduling strategy associated with Round Robin, a simulation of an allocation of unoccupied bandwidth was carried out. The simulation findings reveal that an optimised bandwidth can ensure that the model can recycle 50–60 percent of the average amount of idle bandwidth. This is achieved through the allocation of unused bandwidth scheduling techniques. The findings of this research have demonstrated that it is possible to estimate the amount of data that is set aside as unused bandwidth and reuse it.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Effective Utilization of An Unused Bandwidth in IEEE 802.16 Network

Abubakar Ibrahim,

Salsabil,

Lawal

2022

JTEC

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“…It is another scheduling algorithm that works with different priority levels and gives a guaranteed bandwidth for each type of flow. WFQ has many queues with packets of various flows (Priya, et al, 2021). According to (Islam & Rashed, n.d.) the working principle of WFQ is that each flow type is ordered in a FIFO manner into a separate queue and the scheduler gives different weights to each queue.…”

Section: Weighted Fair Queueing (Wfq) Scheduling Algorithmmentioning

confidence: 99%

A Study of Scheduling Algorithms in LTE -Advanced HetNet

Mohammed

2021

QZJ

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Long Term Evolution (LTE), known as 4G technology, is considered the choice for Third Generation Partnership Project (3GPP) and 3GPP2 mobile operators. LTE is expected to bring an improved user experience with full mobility support. However, to cope with the increasing number of mobile data subscribers that compete for the limited radio resources, effective network Quality of Service (QoS) mechanisms are necessary. A solution is to introduce small cells by adding low-power base stations to the existing macro-eNBs (Evolved Node B). The result is a Heterogeneous Network (HetNet) with large macro-cells combined with small cells (micro-, pico-and femto-cells) to cover areas not covered by the Macro-cells. Practically, HetNet is introduced in LTE-Advanced which is an extended version of LTE with more advanced features. Introducing HetNet in LTE-A brings challenges especially in terms of physical integration, QoS support and interference management. In this research, an architecture of HetNet integration is proposed. After that, some QoS scheduling algorithms are deployed for different types of on-going applications. Then, through the use of Riverbed Modeler, their performance parameters are studied with extensive simulations. Finally, an intensive comparison is done among the algorithms followed by a detailed discussion.

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