A new achievable region for interference channel with generalized feedback
Shuang Yang, Daniela Tuninetti · 2008
Interference channels (IFC) model peer-to-peer networks where several source-destination pairs compete for the same channel resources. IFCs with generalized feedback (IFC-GF) further model scenarios where the sources can sense the current channel activity, like in wireless channels. The signal overheard from the channel provides information about the messages sent by the other users, and furnishes the basis for cooperation among otherwise uncoordinated users. Although cooperative communications is not equivalent to virtual MIMO communications, it has been shown that it benefits the performance of all the involved source-destination pairs without increasing neither the transmit powers nor the channel bandwidth. In this paper, we describe a new achievable region for IFC-GFs that generalizes, and simplifies, previously known inner bound regions. The new region is based on the idea of binning the users' codebook known at all transmitters against each other (in order to pre-cancel part of the interference, as in broadcast channels), and superposition binning for the rest of the codebooks (as in cognitive IFCs).