Practical code design for compute-and-forward

Abstract

The Compute-and-Forward approach has been proven to be very beneficial for communication over Gaussian networks. While the theoretical results are promising, it is still not completely understood how to best apply this scheme in practice. The objective of this work is to provide a low complexity scheme suitable for Compute-and-Forward. The scheme is based on utilizing linear codes over ℤq where q is not restricted to be prime and allows to achieve high transmission rates following Ungerboeck's set partitioning principle.