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A Novel Energy Harvesting Scheme in Interference Networks with UAVs

  • Bingcai ChenEmail author
  • Manrou Yang
  • Yu Chen
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

Along with the development of the communication network technology and computer technology, the diversity of information in modern society and the geographical area scale has placed limits on the single unmanned aerial vehicle (UAV) in the tasks, so that cooperative mission of multiple UAVs will be the main form to be utilized in the future information society. Interference and energy limit are two key issues in the network, so we propose a novel opportunistic interference alignment (OIA) scheme with wireless energy harvesting (EH), which can eliminate the interference while optimizing the energy efficiency. Extensive simulation results are presented to show the effectiveness of the proposed OIA scheme with wireless EH.

Keywords

Interference alignment Energy harvesting Power splitting Opportunistic communications 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (NSFC) under Grant 61771089.

References

  1. 1.
    Zhao, N., Cheng, F., Richard Yu, F., Tang, J., Chen, Y.F., Gui, G., Sari, H.: Caching UAV assisted secure transmission in hyper-dense networks based on interference alignment. IEEE Commun. Soc. 66, 2281–2294 (2018)CrossRefGoogle Scholar
  2. 2.
    Mozaffari, M., Saad, W., Bennis, M., Debbah, M.: Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage. IEEE Commun. Lett. 20, 1647–1650 (2016)CrossRefGoogle Scholar
  3. 3.
    Lyu, J., Zeng, Y., Zhang, R., Lim, T.J.: Placement optimization of UAV-mounted mobile base stations. IEEE Commun. Lett. 21, 604–607 (2017)CrossRefGoogle Scholar
  4. 4.
    Rohde, S., Putzke, M., Wietfeld, C.: Ad hoc self-healing of OFDMA networks using UAV-based relays. Ad Hoc Netw. 11, 1893–1906 (2013)CrossRefGoogle Scholar
  5. 5.
    Sharma, V., Bennis, M., Kumar, R.: UAV-assisted heterogeneous networks for capacity enhancement. IEEE Commun. Lett. 20, 1207–1210 (2016)CrossRefGoogle Scholar
  6. 6.
    Cadambe, V.R., Jafar, S.A.: Interference alignment and degrees of freedom of the K-user interference channel. IEEE Trans. Inf. Theory 54, 3425–3441 (2008)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Shin, W., Lim, J.B., Choi, H.-H., Lee, J., Poor, H.V.: Cyclic interference alignment for full-duplex multi-antenna cellular networks. IEEE Trans. Commun. 65, 2657–2671 (2017)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyDalian University of TechnologyDalianChina
  2. 2.School of Computer Science and TechnologyXinjiang Normal UniversityUrumqiChina

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