Generalized Degrees of Freedom for Network-Coded Cognitive Interference Channel
The authors explain a two-user cognitive Interference Channel (CIC) where one of the transmitters (primary) has knowledge of a linear combination (over an appropriate finite field) of the two information messages. They refer to this channel model as Network-Coded CIC, since the linear combination may be the result of some linear network coding scheme implemented in the backbone wired network. In this paper, they characterize the Generalized Degrees of Freedom (GDoF) for the Gaussian Network-Coded CIC. For achievability, they use the novel Precoded Compute-and-Forward (PCoF) and Dirty Paper Coding (DPC), based on nested lattice codes.