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Mean-Field Power Allocation for UDN

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Communications, Signal Processing, and Systems (CSPS 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 571))

Abstract

Ultra Dense Network (UDN) is an effective solution to the explosive growth of traffic in the future 5G networks. In this paper, a mean-field power allocation algorithm is proposed for UDN. It imbeds the power allocation decision problem into a Dynamic Stochastic Game (DSG) model. And then it finds the optimal decision by deriving the model into a mean-field game model. The simulation results show that compared with the other methods, the proposed method can achieve better performance in terms of the CDF and the Utility EE, and can also guarantee the Quality of Service (QoS).

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Acknowledgements

This research was supported by National Natural Science Foundation of China (Grant No. 61501306), Doctoral Scientific Research Foundation of Liaoning Province (Grant No. 20170520228), College Students’ innovation and entrepreneurship training program(Grant No. 110418092).

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Correspondence to Jiamei Chen or Yao Wang .

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Wang, Y., Chen, J., Wang, Y., Liu, Q., Zhao, Y. (2020). Mean-Field Power Allocation for UDN. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_6

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  • DOI: https://doi.org/10.1007/978-981-13-9409-6_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9408-9

  • Online ISBN: 978-981-13-9409-6

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