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 …

This paper concerns with efficient communication over Gaussian and fading multiple-access
channels (MACs). Existing orthogonal multiple-access (OMA) and power-domain …

Abstract Physical layer Network Coding with Compute and Forward relaying (CF) is a
promising transmission strategy that effectively exploits the natural linear computation of the …

In conventional communication systems, any interference between two communicating
points is regarded as unwanted noise since it distorts the received signals. On the other …

This paper considers the problem of distributed lossy compression where the goal is to
recover one or more linear combinations of the sources at the decoder, subject to distortion …

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 …

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 …

Compute and Forward (CF) is a coding scheme which enables receivers to decode linear
combinations of simultaneously transmitted messages while exploiting the linear properties …

This paper studies a lattice-based broadcasting (LBC) scheme for a single-cell downlink
system. The base station (BS) has N antennas and the K user-equipments (UEs) have a …

Building on recent development by Padakandla and Pradhan, and by Lim, Feng, Pastore,
Nazer, and Gastpar, this paper studies the potential of structured coset coding as a complete …