Unifying information theory and digital communication through the language of lattice codes,
this book provides a detailed overview for students, researchers and industry practitioners. It …

The compute-and-forward framework permits each receiver in a Gaussian network to directly
decode a linear combination of the transmitted messages. The resulting linear combinations …

Multi-way communication is a means to significantly improve the spectral efficiency of
wireless networks. For instance, in a bi-directional (or two-way) communication channel, two …

This paper presents a joint typicality framework for encoding and decoding nested linear
codes in multi-user networks. This framework provides a new perspective on compute …

In this paper, we investigate the superimposed training matrix designs for the channel
estimation of amplify-and-forward (AF) multiple-input multiple-output (MIMO) relaying …

Algebraic network information theory is an emerging facet of network information theory,
studying the achievable rates of random code ensembles that have algebraic structure, such …

We consider a system in which two users communicate with a destination with the help of a
half-duplex relay. Based on the compute-and-forward scheme, we develop and evaluate the …

Compute–forward is a coding technique that enables receiver (s) in a network to directly
decode one or more linear combinations of the transmitted codewords. Initial efforts focused …

The compute-and-forward (C&F) protocol in quasi-static channels normally employs lattice
codes based on the rational integers ℤ, the Gaussian integers ℤ [i], or the Eisenstein …

Low-density parity-check (LDPC) lattices were the first family of lattices to show efficient
decoding in high dimensions. We consider a case of these lattices with one binary LDPC …