New Combined Downlink Scheduling Algorithm for LTE Networks

Angri, Ismail; Najid, Abdellah; Mahfoudi, Mohammed

doi:10.15866/irecap.v7i1.11021

Cited by 10 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The PF scheduler is proposed to achieve a balance between fairness and spectral efficiency among different users, while a minimum bit rate is guaranteed. The metric of this algorithm can be expressed as the ratio between the instantaneous flow rate available for the i-th stream in the j-th subchannel ( , ) and the average data rate of the past transmission ( ( − 1)) [33]. Equation ( 5) presents the metric computation following the PF approach.…”

Section: Proportional Fair (Pf)mentioning

confidence: 99%

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

Angri¹,

Mahfoudi²,

Najid³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Efficient Radio Resource Management is a key mechanism in interference management in 5G New Radio (NR) networks, specifically in the case of the presence of mobile users moving at high speed. To this end, the prediction and the evaluation of the propagation channel sensitivity requires that the radio resources allocation in NR must be efficient and powerful. Therefore, several scheduling algorithms have been developed and tested using the mmWave model of NS-3 simulator, with the aim of enhancing their contribution to improving the quality of the signal received by users. The performances have been evaluated in terms of Signal-to-Interference-and-Noise-Ratio (SINR) and signal Block Error Rate (BLER). The simulations were run for different types of data flows, and achieved satisfactory results for most schemes. The achievements clearly show the importance of scheduling algorithms in lowering received interference, but they have also demonstrated the stability and reliability of some of those strategies.

show abstract

Section: Proportional Fair (Pf)mentioning

confidence: 99%

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

Angri¹,

Mahfoudi²,

Najid³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…A widely known simulator, which is commonly used in much researches, [29][30][31][32][33][34][35][36][37][38][39][40] is utilized to evaluate the performance of the proposed queue-optimized scheduler. The simulator is known as an LTE simulator, 53 and it is utilized to compare the performance of the most recent and efficient schedulers with the proposed queue-optimized scheduler.…”

Section: Simulator Setupmentioning

confidence: 99%

“…A combined scheduling scheme was proposed in Angri et al 32 It is designed by combining the metrics of more than one scheduler in order to gain the advantages of each scheduling technique. Another version of a combined scheduling scheme was proposed in Angri et al 33 It is designed for high mobility and dense area scenarios in order to satisfy the QoS requirements of RT applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimized two‐level scheduler for video traffic in LTE downlink framework

Elhadad

El‐Shafai

El‐Rabaie

et al. 2021

Int J Communication

View full text Add to dashboard Cite

The most challenging issue in long-term evolution (LTE) mobile networks is the design of an optimal scheduler. The main target of the LTE scheduling strategy is to guarantee a certain level of quality of service (QoS) in order to satisfy users' needs. In this work, a novel queue-optimized two-level scheduling strategy is introduced. The queue-optimized scheduler has the ability to support both real-time (RT) and non-RT (NRT) services in the LTE downlink framework. The first level of the proposed scheduler depends on an optimized queue length threshold that is dynamically adapted to adjust the assigned resources for the video traffic to maintain the throughput around its average value. The proposed scheduling strategy is utilized to efficiently enhance the radio resource allocation process for video traffic by minimizing the allocation of any excess unwanted resources, which consequently facilitates the support of more video connections and enhances the overall network spectral efficiency. The distribution of the resources among users for RT and NRT applications is actually performed at the second level of the scheduling process. The physical resource blocks (PRBs) are assigned according to the enhanced earliest due date first (EEDDF) mechanism. The proposed scheduling strategy prioritizes users according to their service requirements, to improve the QoS provision. The proposed scheduler maximizes the video applications throughput, and generally, minimizes the packet delay and the packet loss rate (PLR) for RT applications.

show abstract

“…The channel quality plays an essential role while allocating RBs to UEs . By combining more than one scheduler in one algorithm, the authors in Angri et al tried to benefit from the advantages of each scheme and design a combined scheduling algorithm. They concluded that there is a suitable scheduler for each type of traffic.…”

Section: Related Workmentioning

confidence: 99%

Enhanced fair earliest due date first scheduling strategy for multimedia applications in LTE downlink framework

Elhadad

El‐Shafai

El‐Rabaie

et al. 2020

Int J Communication

View full text Add to dashboard Cite

Summary Guaranteeing a certain delay threshold for delay‐sensitive applications in long term evolution (LTE) cellular communication system is a very challenging mission. By implementing an optimal scheduling strategy, this mission will be achieved. In this article, a novel scheduler is introduced in order to meet a predefined level of service quality by guaranteeing a specific delay threshold for delay‐sensitive applications in LTE cellular systems. The proposed scheduler assigns the available resource blocks (RBs) to active user equipments (UEs) tacking into consideration several attributes. The expiration date of each packet, the channel quality, the average data rate previously achieved by each UE, and the number of dropped packets for each UE compared with the average number of packets totally dropped are all considered in the proposed scheduler working mechanism. Consequently, the proposed scheduling strategy reduces the number of packets dropped for multimedia applications, and at the same time maximizes the overall throughput of the network. Simulation results are provided to study and evaluate the performance of the proposed scheduling strategy. A comparative study is presented between the proposed strategy and the most recent scheduling techniques. The obtained results prove that the proposed scheduling strategy has considerably acceptable and appreciated results compared with the results of the state‐of‐the‐art scheduling techniques.

show abstract

New Combined Downlink Scheduling Algorithm for LTE Networks

Cited by 10 publications

References 0 publications

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

Dynamic resource management algorithms for interference prediction in 5G new radio scenarios

Optimized two‐level scheduler for video traffic in LTE downlink framework

Enhanced fair earliest due date first scheduling strategy for multimedia applications in LTE downlink framework

Contact Info

Product

Resources

About