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Exponentially weighted proportional fair scheduling algorithm for the OFDMA system

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This study aims to propose an exponentially weighted proportional fair (EWPF) scheduling algorithm for orthogonal frequency division multiple access (OFDMA) system for long-term evolution downlink transmission. The proposed algorithm improves the system performance in the user-perceived throughput (UPT) by adding exponential weights to different types of services. The UPT employed to measure the system capability is novel and customer oriented; it reflects the experiences of users in an efficient manner and determines whether the user’s scheduling is reasonable. The EWPF algorithm is compared with two other schedulers, and our simulation results showed that the EWPF can increase the overall UPT and can maintain the fairness for prioritizing the transmission of some types of traffic.

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This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61703326, 61673308, 61673014), Natural Science Foundation of Shaanxi Province (Grant No. 2017JQ5037), and Fundamental Research Funds for the Central Universities (Grant No. 20101186377).

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Correspondence to Weisheng Chen or Xinpeng Fang.

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Liang, S., Chen, W., Li, Y. et al. Exponentially weighted proportional fair scheduling algorithm for the OFDMA system. Sci. China Inf. Sci. 62, 42306 (2019). https://doi.org/10.1007/s11432-018-9746-9

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  • exponentially weighted proportional fair
  • user perceived throughput
  • downlink scheduling algorithm
  • scheduled IP throughput