Generalized Interference Alignment—Part I: Theoretical Framework

@article{Ruan2016GeneralizedIA,
  title={Generalized Interference Alignment—Part I: Theoretical Framework},
  author={Liangzhong Ruan and Vincent K. N. Lau and Moe Z. Win},
  journal={IEEE Transactions on Signal Processing},
  year={2016},
  volume={64},
  pages={2675-2687}
}
Interference alignment (IA) has attracted enormous research interest as it achieves optimal capacity scaling with respect to signal to noise ratio on interference networks. IA has also recently emerged as an effective tool in engineering interference for secrecy protection on wireless wiretap networks. However, despite the numerous works dedicated to IA, two of its fundamental issues, i.e., feasibility conditions and transceiver design, are not completely addressed in the literature. In this… CONTINUE READING
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