Proactive Jamming Toward Interference Alignment Networks: Beneficial and Adversarial Aspects

@article{Guo2017ProactiveJT,
  title={Proactive Jamming Toward Interference Alignment Networks: Beneficial and Adversarial Aspects},
  author={Jing Guo and Nan Zhao and Zhutian Yang and Fei Richard Yu and Yunfei Chen and Victor C. M. Leung},
  journal={IEEE Systems Journal},
  year={2017},
  volume={13},
  pages={412-423}
}
Interference alignment (IA) is a prospective method to achieve interference management in wireless networks. On the other hand, jamming can be deemed either as a potential threat to degrade the performance of wireless networks, or as a helper to combat the eavesdropping for the legitimate networks. In this paper, we consider these two opposite scenarios, beneficial and adversarial jamming, toward IA networks, and based on which two proactive jamming schemes are proposed. In the first scheme… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 39 REFERENCES

Anti-Eavesdropping Schemes for Interference Alignment (IA)-Based Wireless Networks

  • IEEE Transactions on Wireless Communications
  • 2016
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Beneficial jamming design for interference alignment networks

  • 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP)
  • 2017
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Generalized Interference Alignment—Part I: Theoretical Framework

  • IEEE Transactions on Signal Processing
  • 2016
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…