Cell-free Massive MIMO is considered as a promising technology for satisfying the
increasing number of users and high rate expectations in beyond-5G networks. The key idea …

The problem of distributed representation learning is one in which multiple sources of
information X 1,..., XK are processed separately so as to learn as much information as …

We study the problem of distributed information bottleneck, in which multiple encoders
separately compress their observations in a manner such that, collectively, the compressed …

We study the transmission over a network in which users send information to a remote
destination through relay nodes that are connected to the destination via finite-capacity error …

We consider scalable cell-free massive multiple-input multiple-output networks under an
open radio access network paradigm comprising user equipments (UEs), radio units (RUs) …

In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under
logarithmic loss distortion measure. Specifically, K≥ 2 agents observe independently …

This paper considers the uplink of a cloud radio access network (C-RAN) comprised of
several multi-antenna remote radio units (RUs) which compress the signals that they receive …

Full-duplex (FD) wireless has emerged as a disruptive communications paradigm for
enhancing the achievable spectral efficiency (SE), thanks to the recent major breakthroughs …

Uplink-downlink duality refers to the fact that under a sum-power constraint, the capacity
regions of a Gaussian multiple-access channel and a Gaussian broadcast channel with …

In this paper, we study the vector Gaussian Chief Executive Officer (CEO) problem under
logarithmic loss distortion measure. Specifically, K> 2 agents observe independently …