Multi-Targeted Downlink Scheduling for Overload-States in LTE Networks: Proportional Fractional Knapsack Algorithm With Gaussian Weights

Ferdosian, Nasim; Othman, Мohamed; Ali, Borhanuddin Mohd; Lun, Kweh Yeah

doi:10.1109/access.2017.2672828

Cited by 11 publications

(11 citation statements)

References 24 publications

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“…Considering the error probability and the probability from failure state to success state in (9), Equation (7) can be replaced by the following Equation (12).…”

Section: Symbolmentioning

confidence: 99%

“…After that, the variable α i of user i is calculated by the above Equations (7)- (12). This variable considers several criteria, such as the probability of packet loss and delay threshold.…”

Section: Proposed Greedy-based Modelmentioning

confidence: 99%

“…Channel dependent packet schedulers are more accurate in real life scenarios as they consider more parameters than channel independent schedulers. Most of the previous researchers have used proportional fairness (PF) [5][6][7], Round Robin (RR) [8,9] and other algorithms [10][11][12][13][14][15][16][17] for resource allocation with CA in an LTE-A system. However, some important parameters, such as packet delay or error rate are not considered.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Considering the error probability and the probability from failure state to success state in (9), Equation (7) can be replaced by the following Equation (12).…”

Section: Symbolmentioning

confidence: 99%

Section: Proposed Greedy-based Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

et al. 2017

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“…The authors have formulate another heuristic algorithm named as sequential operational algorithm (SOA) to reduce the complexity of The authors discovered approach and in SOA the channels are selected according to channel ideal state probability and LTE transmission interval can be calculated by fairness between the LTE and WLAN [25]. The outcomes of this study are display that the presented method gets comparable throughput to optimal solution and also get fairness between LTE and WLAN [26]. Li et al has introduced with overview on MIMO techniques andmulti-cell coordinate scheduling technique for LTE cellular networks.…”

Section: Resource Allocation Technique and 3) Buffer Level Calculatimentioning

confidence: 99%

A research survey on scheduling techniques in lte-based network and its state of art

Srinivasa¹,

A.R2²

2020

csit

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Scarce wireless resources, lead to development of cognitive radio network as a solution to unlicensed users communication in the licensed frequency band. In response to the behavior of licensed users communication, unlicensed users communication need to change from one frequency band to another band. In this communication paradigm, the performance of unlicensed users transmission control protocol gets degraded due to the features of cognitive radio network. To overcome this, several authors suggested quite a few modifications in the existing wireless transport protocol for cognitive radio network environment. This paper gives an overview of different transport protocols used for unlicensed users’ communication in cognitive radio networks.

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“…The authors in [5] introduce a fair allocation high throughput (FAHT) algorithm by using geometric mean with a faster convergence for user throughput to improve the throughput while ensure the fairness. In [6], the authors design the scheduling policy to meet QoE requirements and maintain fairness for the heterogeneous traffic in overload states. In [7], the waiting time of the real-time traffic is specially considered while designing the scheduling criterion.…”

Section: Introductionmentioning

confidence: 99%

A Novel Scheduling Algorithm to Improve Average User Perceived Throughput for LTE Systems

Fang

Liang

2019

IEEE Access

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In recent years, the network operators have paid more attention to user experience. The design of scheduling algorithm is a great challenge in long term evolution (LTE) system to improve the overall system Quality of Experience (QoE). Many papers have been developed to solve the scheduling problem for the full buffer traffic. In this paper, a new scheduling algorithm named percent proportional fair (PPF) is proposed for the reality burst traffic. To evaluate the user experience, we introduce two measure indicators, average user perceived throughput (UPT) and user perceived throughput-cut (UPT-cut). In order to improve the average UPT with fairness guarantee, we design the scheduling priority by considering the ratio of the amount of transmitted data to the total amount of burst data. At the same time, an allocation matrix is introduced so as to avoid bandwidth waste. Finally, comparing the PPF scheduler with the classical proportional fair (PF) scheduler and fair allocation high throughput (FAHT) scheduler, the simulation results show the improvement of average UPT while ensuring fairness among the users. Besides, the performance of PPF scheduling is analyzed in various system scenarios. INDEX TERMS Quality of Experience, LTE systems, percent proportional fair, user perceived throughput, scheduling priority.

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Multi-Targeted Downlink Scheduling for Overload-States in LTE Networks: Proportional Fractional Knapsack Algorithm With Gaussian Weights

Cited by 11 publications

References 24 publications

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

An Improved Radio Resource Management with Carrier Aggregation in LTE Advanced

A research survey on scheduling techniques in lte-based network and its state of art

A Novel Scheduling Algorithm to Improve Average User Perceived Throughput for LTE Systems

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