Capacity Bounds for the $K$-User Gaussian Interference Channel
Junyoung Nam

TL;DR
This paper introduces a novel upper-bounding technique for the $K$-user Gaussian interference channel, providing new finite SNR capacity bounds and insights into sum-rate behavior beyond degrees-of-freedom analysis.
Contribution
It develops a new upper-bounding method using genie signals and time sharing, deriving explicit bounds for any number of users and analyzing finite SNR sum-rate behavior.
Findings
New upper bounds on sum capacity for 3-user and K-user GICs.
Finite SNR sum-rate behavior differs from DoF predictions, especially for large K.
Phase offset impacts sum-rate bounds in complex GICs.
Abstract
The capacity region of the -user Gaussian interference channel (GIC) is a long-standing open problem and even capacity outer bounds are little known in general. A significant progress on degrees-of-freedom (DoF) analysis, a first-order capacity approximation, for the -user GIC has provided new important insights into the problem of interest in the high signal-to-noise ratio (SNR) limit. However, such capacity approximation has been observed to have some limitations in predicting the capacity at \emph{finite} SNR. In this work, we develop a new upper-bounding technique that utilizes a new type of genie signal and applies \emph{time sharing} to genie signals at receivers. Based on this technique, we derive new upper bounds on the sum capacity of the three-user GIC with constant, complex channel coefficients and then generalize to the -user case to better understand sum-rate…
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Taxonomy
TopicsWireless Communication Security Techniques · Wireless Body Area Networks · Advanced MIMO Systems Optimization
