Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks

@article{Liu2016NonorthogonalMA,
  title={Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks},
  author={Yuanawei Liu and Zhiguo Ding and Maged Elkashlan and Jinhong Yuan},
  journal={IEEE Transactions on Vehicular Technology},
  year={2016},
  volume={65},
  pages={10152-10157}
}
In this paper, nonorthogonal multiple access (NOMA) is applied to large-scale underlay cognitive radio (CR) networks with randomly deployed users. To characterize the performance of the considered network, new closed-form expressions of the outage probability are derived using stochastic geometry. More importantly, by carrying out the diversity analysis, new insights are obtained under the two scenarios with different power constraints: 1) fixed transmit power of the primary transmitters (PTs… CONTINUE READING
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Geometry for Wireless Networks

  • M. Haenggi, Stochastic
  • 2012
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