The mobile data traffic has been exponentially growing during the last several decades. This
was enabled by the densification of the network infrastructure in terms of increased cell …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

Imagine a coverage area where each mobile device is communicating with a preferred set of
wireless access points (among many) that are selected based on its needs and cooperate to …

Multiple antenna technologies have attracted much research interest for several decades
and have gradually made their way into mainstream communication systems. Two main …

Imagine a coverage area with many wireless access points that cooperate to jointly serve
the users, instead of creating autonomous cells. Such a cell-free network operation can …

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 …

A cell-free massive multiple-input multiple-output system is considered using a max-min
approach to maximize the minimum user rate with per-user power constraints. First, an …

A cell-free Massive multiple-input multiple-output (MIMO) uplink is considered, where the
access points (APs) are connected to a central processing unit (CPU) through limited …

Cell-free massive multiple-input-multiple-output (MIMO) is considered, where distributed
access points (APs) multiply the received signal by the conjugate of the estimated channel …

This paper investigates the performance of limited-fronthaul cell-free massive multiple-input
multiple-output (MIMO) taking account the fronthaul quantization and imperfect channel …