The Approximate Sum Capacity of the Symmetric Gaussian K-User Interference Channel
Or Ordentlich, Uri Erez, Bobak Nazer

TL;DR
This paper introduces a new lattice interference alignment framework based on compute-and-forward, deriving approximate sum capacity bounds for symmetric Gaussian K-user interference channels and analyzing decoding strategies across interference regimes.
Contribution
It develops a novel lattice interference alignment method using compute-and-forward, providing explicit sum capacity bounds for symmetric channels and decoding strategies for various interference levels.
Findings
Capacity bounds are established for weak to strong interference regimes.
Decoding K linear combinations approaches the sum capacity within a small gap.
The framework explicitly characterizes the capacity outage set for symmetric channels.
Abstract
Interference alignment has emerged as a powerful tool in the analysis of multi-user networks. Despite considerable recent progress, the capacity region of the Gaussian K-user interference channel is still unknown in general, in part due to the challenges associated with alignment on the signal scale using lattice codes. This paper develops a new framework for lattice interference alignment, based on the compute-and-forward approach. Within this framework, each receiver decodes by first recovering two or more linear combinations of the transmitted codewords with integer-valued coefficients and then solving these equations for its desired codeword. For the special case of symmetric channel gains, this framework is used to derive the approximate sum capacity of the Gaussian interference channel, up to an explicitly defined outage set of the channel gains. The key contributions are the…
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