Perlaza, Samir M.Tandon, RaviPoor, H. VincentHan, Zhu2020-05-112020-05-118/12/2015Copyright 2015 IEEE Transactions on Information Theory. This is a pre-print version of a published paper that is available at: https://ieeexplore.ieee.org/abstract/document/7192622. Reocmmended citation: Perlaza, Samir M., Ravi Tandon, H. Vincent Poor, and Zhu Han. "Perfect output feedback in the two-user decentralized interference channel." IEEE Transactions on Information Theory 61, no. 10 (2015): 5441-5462. doi: 10.1109/TIT.2015.2467387. This item has been deposited in accordance with publisher copyright and licensing terms and with the author's permission.https://hdl.handle.net/10657/6461In this paper, the ?-Nash equilibrium (?-NE) region of the two-user Gaussian interference channel (IC) with perfect output feedback is approximated to within 1 bit/s/Hz and ? arbitrarily close to 1 bit/s/Hz. The relevance of the ?-NE region is that it provides the set of rate pairs that are achievable and stable in the IC when both transmitter-receiver pairs autonomously tune their own transmit-receive configurations seeking an ?-optimal individual transmission rate. Therefore, any rate tuple outside the ?-NE region is not stable as there always exists one link able to increase by at least ? bits/s/Hz its own transmission rate by updating its own transmit-receive configuration. The main insights that arise from this paper are as follows. First, the ?-NE region achieved with feedback is larger than or equal to the ?-NE region without feedback. More importantly, for each rate pair achievable at an ?-NE without feedback, there exists at least one rate pair achievable at an ?-NE with feedback that is weakly Pareto superior. Second, there always exists an ?-NE transmit-receive configuration that achieves a rate pair that is at most 1 bit/s/Hz per user away from the outer bound of the capacity region.Interference channelsfeedback communicationsGaussian channelswireless networksdistributed information systemsPerfect Output Feedback in the Two-User Decentralized Interference ChannelArticle