To support the newly introduced multimedia services with ultra-low latency and extensive
computation requirements, resource-constrained end-user devices should utilize the …

In this paper, we propose an energy-efficient federated learning (FL) framework for the
energy-constrained devices over cloud radio access network (Cloud-RAN), where each …

Discussions on 6G point to one terabit-per-second as a reasonable goal for the peak bit rate
of next-generation wireless systems. To meet this goal, the adoption of the sub-terahertz and …

A mobile edge computing (MEC) aided cell-free massive MIMO network is investigated in
this paper that aims at optimizing the task offloading process from the wireless devices to the …

In this paper, the computation offloading problem in reconfigurable intelligent surface (RIS)-
aided mobile edge computing (MEC)-enabled cell-free radio access network (CF-RAN) is …

Distributed multiple-input multiple-output (MIMO) systems hinge on cooperative signal
processing techniques to turn interference into desired signal, thereby providing excellent …

The coupling of cell-free massive MIMO (CF-mMIMO) with Mobile Edge Computing (MEC) is
investigated in this paper. A MEC-enabled CF-mMIMO architecture implementing a …

In this paper, we investigate a green federated learning (FL) framework over cloud radio
access network (Cloud-RAN) system that comprises a server, multiple devices and remote …

In this work, we consider a cell-free massive multiple-input multiple-output (CF-mMIMO)-
enabled mobile edge computing (MEC) network. To save the network energy consumption …