Performance of the M-LWDF scheduling algorithm for streaming services in hsdpa

Ameigeiras, Pablo; Wigard, Jeroen; Mogensen, Preben

doi:10.1109/vetecf.2004.1400171

Cited by 62 publications

(39 citation statements)

References 3 publications

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“…The packets being waited in the queue until they are successfully transmitted or the 'discard timer' expires. This queueing delay (elapsed time since the user packet arrived in the queue) is denoted as the head of line (HOL) delay in the MLWDF algorithm [20]. If the HOL delay exceeds the predefined delay threshold of the user application, Packet Data Convergence Protocol (PDCP) layer discards the user packets according to the standard [21].…”

Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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Long term evolution-advanced (LTE-A) system introduces carrier aggregation (CA) technique to improve the user throughput by aggregating multiple component carriers (CCs). Previous research works related to downlink radio resource allocation with carrier aggregation have not considered the delay factor and the error probability. Therefore, the previous methods are unable to provide better quality of service (QoS) compared to the LTE-A standard. This paper considers the radio resource management problem by zooming into the head of line delay, probability of packet loss, and the delay threshold for different types of data. In doing this, several constraints are imposed following the specifications of LTE-A system. Hence, an improved method is developed in this study to enhance the system throughput and to maintain the computational complexity. Extensive simulations were carried out with other well-known methods to verify the overall performance of the proposed method. The result obtained indicates that the proposed method outperforms the previous methods in the measurement of average user throughput, average cell throughput, fairness index, and spectral efficiency.

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Section: Introductionmentioning

confidence: 99%

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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“…The M-LWDF scheduling algorithm is used to support multiple real-time services in CDMA-HDR systems [6]. For each real-time flow, by considering the maximum time τ i , the probability is defined as the maximum probability δ i which is the time of the first packet of the queue exceeds the fixed maximum time D HOL,i .…”

Section: 21mentioning

confidence: 99%

“…So that, the Channelaware/QoS-aware strategies are very essential for them. Several well-known scheduling algorithms for this group as the Modified Largest Weighted Delay First (M-LWDF) [6], the Exponential/PF (EXP/PF) [16], the LOG and EXP rules [17] or the Frame Level Scheduler (FLS) [14]. In these schedulers, there is only the FLS which guarantees bounded delay for real-time flows, the remaining schedulers transmits users data in a given Transmission Time Interval (TTI) by assigning a computed priority metric that is specific to the scheduler functionality.…”

Section: Introductionmentioning

confidence: 99%

A new Channel- and QoS-Aware scheduling Scheme for Real-time Services in LTE Network

Nguyen¹,

Nguyen²,

Renault³

2016

IJAIS

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This paper proposes a new scheduling scheme which is based on Channel-and QoS-Aware for real-time traffics in LTE downlink direction. The real-time services (VoIP, Video, etc.) are very sensitive to network impairments such as delay, packet loss, jitter, etc. The proposed scheduling scheme considers Maximum Queue Size (MQS) as an essential factor for the priority metric and the combination of well-known M-LWDF-based algorithms such as M-LWDF, VT-MLWDF and Queue-HOL-MLWDF. The simulation results show that the proposed scheme has the performance which not only satisfies QoS requirements of realtime services but also outperforms the M-LWDF, VT-MLWDF and Queue-HOL-MLWDF schedulers in terms of Packet Loss Rate (PLR), cell throughput, Fairness Index (FI) and Spectral Efficiency (SE), especially for Video flow. The proposed scheduler also significantly improves the delay in comparison with the VT-MLWDF and Queue-HOL-MLWDF schedulers ones for both VoIP and Video flows. The performance evaluation is compared in terms of Delay, PLR, Throughput, FI and SE for M-LWDF, VT-MLWDF, Queue-HOL-MLWDF and the proposed schedulers.

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“…In addition, the mobility is also included in the simulation scenario, specifically, we select the speed of user is 30 km/h. We choose the Frame Level Scheduler (FLS) [22], Modified Largest Weighted Delay First (M-LWDF) [4], and Exponential/Proportional Fair (EXP/PF) [27] schedulers which are The voice flow is a bursty application that is modelled with an ON/OFF Markov chain [7]. For the video flow, a tracebased application that generates packets based on realistic video trace files with a bit-rate of 242 kbps was used in [26] and it is also available in [21].…”

mentioning

confidence: 99%

A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model

Nguyen¹,

Nguyen²,

Renault³

2016

CAE

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Long Term Evolution (LTE) was initially designed for a high data rates network. However, voice service is always a main service that brings a big benefit for mobile operators. Hence the deployment of Voice over LTE (VoLTE) is very essential and urgent. LTE network is a fully All-IP network, thus, the deployment of VoLTE is very complex, specially for guaranteeing of Quality of Service (QoS) to meet quality of experience of mobile users. The key purpose of this paper is to present an object, nonintrusive prediction model for VoLTE quality based on LTE-Sim framework and Wideband (WB) E-model. In order to simulate the experiment, we deployed LTE-Sim framework combining C programming in Matlab software. The outputs of the LTE-Sim will be the inputs of the WB E-model. The output of the WB E-model is user satisfaction via Mean Opinion Score (MOS). In addition, due to voice over LTE network (VoLTE) uses Adaptive Multi-Rate Wideband (AMR-WB) for vocoder while LTE-Sim supports only G.729 codec for narrow band, thus, we propose to add AMR-WB codec into LTE-Sim software. The simulation results show that the proposed model can predict voice quality in LTE network via the WB E-model. The proposed model does not refer to the original signal, thus, it is very suitable for predicting voice quality in LTE network for many different scenarios which are configured in the LTE-Sim framework. The proposed model is very suitable for predicting VoLTE quality for transmission planning, and for researchers in Laboratory.

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Performance of the M-LWDF scheduling algorithm for streaming services in hsdpa

Cited by 62 publications

References 3 publications

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

A new Channel- and QoS-Aware scheduling Scheme for Real-time Services in LTE Network

A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model

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