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Swarm intelligence approaches to power allocation for downlink base station cooperative system in dense cellular networks

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References

  1. Liu L, Zhou Y Q, Vasilakos A V, et al. Time-domain ICIC and optimized designs for 5G and beyond: a survey. Sci China Inf Sci, 2019, 62: 021302

    Article  Google Scholar 

  2. Lee W H, Choi J S, Kim Y H, et al. Adaptive sector coloring game for geometric network informationbased inter-cell interference coordination in wireless cellular networks. IEEE/ACM Trans Netw, 2018, 26: 288–301

    Article  Google Scholar 

  3. Tam H H M, Tuan H D, Ngo D T, et al. Joint load balancing and interference management for small-cell heterogeneous networks with limited backhaul capacity. IEEE Trans Wirel Commun, 2017, 16: 872–884

    Article  Google Scholar 

  4. Dai H B, Huang Y M, Yang L X. Game theoretic max-logit learning approaches for joint base station selection and resource allocation in heterogeneous networks. IEEE J Sel Areas Commun, 2015, 33: 1068–1081

    Article  Google Scholar 

  5. Skouroumounis C, Psomas C, Krikidis I. Lowcomplexity base station selection scheme in mmWave cellular networks. IEEE Trans Commun, 2017, 65: 4049–4064

    Article  Google Scholar 

  6. Lang H S, Lin S C, Fang W H. Subcarrier pairing and power allocation with interference management in cognitive relay networks based on genetic algorithms. IEEE Trans Veh Technol, 2016, 65: 7051–7063

    Article  Google Scholar 

  7. Zhang Z S, Long K P, Wang J P, et al. On swarm intelligence inspired self-organized networking: its bionic mechanisms, designing principles and optimization approaches. IEEE Commun Surv Tut, 2014, 16: 513–537

    Article  Google Scholar 

  8. Hou F, Cai L X, Ho P H, et al. A cooperative multicast scheduling scheme for multimedia services in IEEE 802.16 networks. IEEE Trans Wirel Commun, 2009, 8: 1508–1519

    Article  Google Scholar 

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61872406, 61472094).

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Authors and Affiliations

  1. School of Computer Science and Information Engineering, Hubei University, Wuhan, 430062, China

    Hailin Xiao

  2. School of Information and Electronics, Beijing Institute of Technology, Beijing, 100081, China

    Zhongshan Zhang

Authors
  1. Hailin Xiao
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  2. Zhongshan Zhang
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Correspondence to Hailin Xiao.

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Xiao, H., Zhang, Z. Swarm intelligence approaches to power allocation for downlink base station cooperative system in dense cellular networks. Sci. China Inf. Sci. 63, 169302 (2020). https://doi.org/10.1007/s11432-019-9927-9

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  • DOI: https://doi.org/10.1007/s11432-019-9927-9

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