The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

A geometric program (GP) is a type of mathematical optimization problem characterized by
objective and constraint functions that have a special form. Recently developed solution …

There is an increasing interest in a new machine learning technique called Federated
Learning, in which the model training is distributed over mobile user equipments (UEs), and …

Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …

Federated learning (FL) allows multiple edge computing nodes to jointly build a shared
learning model without having to transfer their raw data to a centralized server, thus …

In this article, an overview of advanced convex optimization approaches to-multisensor
beamforming is presented, and connections are drawn between different types of …

This paper addresses the joint design of transmit and receive beamforming or linear
processing (commonly termed linear precoding at the transmitter and equalization at the …

In wireless cellular or ad hoc networks where Quality of Service (QoS) is interference-limited,
a variety of power control problems can be formulated as nonlinear optimization with a …

This paper investigates the resource allocation problem in device-to-device-based vehicular
communications, based on slow fading statistics of channel state information (CSI), to …

Deploying direct device-to-device (D2D) links is a promising technology for vehicle-to-X
(V2X) applications. However, intracell interference, along with stringent requirements on …