Approximate capacity of the Gaussian interference channel with noisy channel-output feedback
2016 IEEE Information Theory Workshop (ITW), 2016•ieeexplore.ieee.org
In this paper, an achievability region and a converse region for the two-user Gaussian
interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The
achievability region is obtained using a random coding argument and three well-known
techniques: rate splitting, superposition coding and backward decoding. The converse
region is obtained using some of the existing perfect-output feedback outer-bounds as well
as a set of new outer-bounds that are obtained by using genie-aided models of the original …
interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The
achievability region is obtained using a random coding argument and three well-known
techniques: rate splitting, superposition coding and backward decoding. The converse
region is obtained using some of the existing perfect-output feedback outer-bounds as well
as a set of new outer-bounds that are obtained by using genie-aided models of the original …
In this paper, an achievability region and a converse region for the two-user Gaussian interference channel with noisy channel-output feedback (G-IC-NOF) are presented. The achievability region is obtained using a random coding argument and three well-known techniques: rate splitting, superposition coding and backward decoding. The converse region is obtained using some of the existing perfect-output feedback outer-bounds as well as a set of new outer-bounds that are obtained by using genie-aided models of the original G-IC-NOF. Finally, it is shown that the achievability region and the converse region approximate the capacity region of the G-IC-NOF to within a constant gap in bits per channel use.
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