The advent of 5G opens up hitherto unimagined opportunities for delivering the much-
anticipated Internet of Vehicles (IoV). There are two typical types of services in IoV, ie, safety …

Group sparse beamforming is a general framework to minimize the network power
consumption for cloud radio access networks, which, however, suffers high computational …

In this paper, we investigate the downlink secure beamforming (BF) design problem of cloud
radio access networks (C-RANs) relying on multicast fronthaul, where millimeter-wave and …

It is known that data rates in standard cellular networks are limited due to inter-cell
interference. An effective solution to this problem is to use the multi-cell cooperation idea. In …

Sparsity phenomena in learning processes have been extensively studied, since their
detection allows to derive suited regularized optimization algorithms capable of improving …

Consider the max-min fair multi-group multicast beamforming problem in wireless networks,
where the users with the same request are partitioned into a multicast group and served by …

Heterogeneous cloud radio access networks (H-CRANs), proposed to boost both spectral
and energy efficiency while reducing the signaling overhead, have been regarded as a …

Federated learning becomes a promising approach for preserving privacy by keeping user
data locally. The basic idea is that a central server iteratively aggregates distributed local …

This letter investigates the robust beamforming design for multigroup multicast in a backhaul-
limited cloud radio access network. Users requesting the same content form a multicast …

This paper studies the joint multislot design of user scheduling and precoding to minimize
the time needed to serve all the users for unicast and multicast transmission in single-cell …