Secure resource allocation for green and cognitive device-to-device communication

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61233007, 61533015, 71661147005).

References

  1. 1.
    Ma Z, Zhang Z Q, Ding Z G, et al. Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives. Sci China Inf Sci, 2015, 58: 041301Google Scholar
  2. 2.
    Huang X Q, Han T, Ansari N. On green-energypowered cognitive radio networks. IEEE Commun Surv Tuts, 2015, 17: 827–842CrossRefGoogle Scholar
  3. 3.
    Wang H-M, Xia X-G. Enhancing wireless secrecy via cooperation: signal design and optimization. IEEE Commun Mag, 2015, 53: 47–53CrossRefGoogle Scholar
  4. 4.
    Xu C, Zheng M, Liang W, et al. End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting. IEEE Trans Wirel Commun, 2017, 16: 3561–3572CrossRefGoogle Scholar
  5. 5.
    Sakr A H, Hossain E. Cognitive and energy harvestingbased D2D communication in cellular networks: stochastic geometry modeling and analysis. IEEE Trans Commun, 2015, 63: 1867–1880CrossRefGoogle Scholar
  6. 6.
    Wang W, Teh K C, Li K H. Enhanced physical layer security in D2D spectrum sharing networks. IEEE Wirel Commun Lett, 2017, 6: 106–109Google Scholar
  7. 7.
    Liu Y, Wang L, Zaidi S A R, et al. Secure D2D communication in large-scale cognitive cellular networks: a wireless power transfer model. IEEE Trans Commun, 2016, 64: 329–342CrossRefGoogle Scholar
  8. 8.
    Palomar D P, Chiang M. A tutorial on decomposition methods for network utility maximization. IEEE J Sel Areas Commun, 2006, 24: 1439–1451CrossRefGoogle Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Key Laboratory of Networked Control SystemsChinese Academy of SciencesShenyangChina
  2. 2.State Key Laboratory of Robotics, Shenyang Institute of AutomationChinese Academy of SciencesShenyangChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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