Scheduling Algorithms in a WiMAX Network

Kumar, Brijesh; Gupta, Pooja

doi:10.1109/acct.2012.99

Cited by 3 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is important to measure the delay as it contributes to the Quality of Experience (QoE) that measure the satisfaction of user towards the network. The value of delay must be less than 150 ms to ensure excellent performance as recommended by ITU [17]. Table 1 shows the recommended values for packet loss, delay, and jitter as described by ITU from poor to excellent quality of performance.…”

Section: Delaymentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of Scheduling Schemes for VoIP Application in Device to Device (D2D) Communication

Yusuf¹

2020

IJATCSE

View full text Add to dashboard Cite

In recent years, there has been an increasing amount of research on Device to Device (D2D) communication underlying cellular network. D2D is a technology evolved from the next generation cellular network. In D2D communication, devices communicate with each other using a direct link without going through the evolved Node B (eNB). Nevertheless, there are still some challenges that have not been addressed by previous researchers. Most of the available studies are based on numerical or self-developed simulators. However, numerical or self-developed simulators do not resemble the real network and the real performance of the network cannot be gauged. This paper investigates the effect of scheduling algorithms in D2D communication for voice over internet protocol (VoIP) application using discrete even simulator, OMNET++. The study is performed using a single cell D2D communication environment using SimuLTE framework. The analysis is made by comparing several scheduling algorithms which are Deficit Round Robin (DRR), Proportional Fairness (PF) and Maximum Carrier to Interference (Max C/I). The number of D2D flows are varied from 5 to 30 and the results were analyzed in terms of throughput, delay, jitter and Mean Opinion Score (MOS). Simulation results show that Max C/I algorithm has a better quality of experience (QoE) which is proved by MOS value of 3.015. In terms of delay, the average VoIP packet scheduled by PF scheme is delayed by 0.33 ms compared to MAX C/I. The findings reported that Max C/I gives a preferable performance in terms of throughput, jitter, delay and MOS value followed by PF and DRR.

show abstract

Section: Delaymentioning

confidence: 99%

“…Jitter is defined as the average of the absolute difference in the time taken for successive packets to reach the destination [17]. Jitter determine the network performance and it is used as the stability and consistency indicator of a network.…”

Section: Jittermentioning

confidence: 99%

Performance Evaluation of Scheduling Schemes for VoIP Application in Device to Device (D2D) Communication

Yusuf¹

2020

IJATCSE

View full text Add to dashboard Cite

show abstract

“…The authors of [3] compare those with the more advanced homogenous scheduling algorithms Deficit Round Robin (DRR) and Distributed Deficit Round Robin (DDRR). They come to the conclusion, that none of the algorithms fulfill the requirements of all services.…”

Section: Introductionmentioning

confidence: 99%

QoS concept for IEEE 802.16-2012 based WiMAX networks

Richter

Radeke

Lehnert

2014

2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

View full text Add to dashboard Cite

Worldwide Interoperability for Microwave Access (WiMAX) mobile communication systems deliver all services through the Internet Protocol. Therefore, an important and crucial part of such systems is the Quality of Service (QoS) support to fulfill the needs of real-time applications. The underlying IEEE 802.16 standard specifies the QoS entities and signaling, but all algorithms are left open for vendor differentiation. In this paper, we propose a Mobile WiMAX QoS concept. It consists of a QoS aware traffic shaping and scheduling algorithm. In contrast to other proposals, our scheduling algorithm does not differentiate between service classes, but between the guaranteed and sustained traffic rate specified by the IEEE 802.16-2012 standard. Our Two-Rate-Based Scheduler (TRBS) additionally accomplishes fairness based on radio resources between users after fulfilling guaranteed demands. Large scale simulation results show that our TRBS algorithm satisfies the QoS requirements of real-time flows. The comparison to Proportional Fair scheduling by means of the number of supported VoIP users and system goodput reveals a significantly better system performance of our scheduling algorithm in highly loaded cells.

show abstract