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A novel scheduling algorithm to improve SUPT for multi-queue multi-server system

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Abstract

This study improves the Quality of Experience (QoE) of the multi-queue multi-server queueing system by solving the scheduling problem. The QoE is evaluated by a novel indicator named system user-perceived throughput (SUPT). According to the property of the traffic, the stochastic optimization problem for SUPT can be transformed into utility maximization under the constraint of queue stability. We then propose a drift-plus-penalty scheduling algorithm named max modified weight (MMW) to balance delay and utility. A Nike function for queue length replaces the queue length as the weight. Furthermore, we prove the stability of the queues based on the Foster–Lyapunov theorem and analyze the delay boundary under the proposed MMW scheduling algorithm. Finally, compared with several classical scheduling policies, the effectiveness of the MMW is verified by evaluating the average system throughput, SUPT, the average system backlog, and user-perceived throughput of the queues in three different scenarios. The simulation results show MMW policy achieves more efficient trade-off between SUPT and system delay, and is capable of maintaining system stability as max weight regardless of the system load.

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Abbreviations

3GPP:

3rd generation partnership project

LTE:

Long term evolution

QoE:

Quality of Experience

UPT:

User-perceived throughput

SUPT:

System user-perceived throughput

OFDM:

Orthogonal frequency division multiplexing

CSI:

Channel state information

QSI:

Queue state information

MDP:

Markov decision process

PP:

Poisson process

IPP:

Interrupted Poisson process

MQMS:

Multi-queue multi-server

RLC:

Radio link control

MAC:

Media access control

HTTP:

Hyper text transfer protocol

SIPT:

Scheduled internet protocol throughput

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grants 61703326 and 61673308, in part by the Fundamental Research Funds for the Central Universities under Grant JB181307, and in part by the Innovation Fund of Xidian University.

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Authors and Affiliations

  1. School of Aerospace Science and Technology, Xidian University, Xi’an, China

    Yake Li, Xinpeng Fang & Weisheng Chen

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  1. Yake Li
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  2. Xinpeng Fang
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  3. Weisheng Chen
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Correspondence to Xinpeng Fang.

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Li, Y., Fang, X. & Chen, W. A novel scheduling algorithm to improve SUPT for multi-queue multi-server system. Wireless Netw 25, 5173–5185 (2019). https://doi.org/10.1007/s11276-019-02124-1

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