In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …

Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …

In this paper, we propose an optimization framework of offloading from a single mobile
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …

In this article, we have provided general, comprehensive coverage of the SDR technique,
from its practical deployments and scope of applicability to key theoretical results. We have …

This paper considers the problem of downlink transmit beamforming for wireless
transmission and downstream precoding for digital subscriber wireline transmission, in the …

Over-the-air computation (AirComp) based federated learning (FL) is capable of achieving
fast model aggregation by exploiting the waveform superposition property of multiple-access …

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

The problem of transmit beamforming to multiple cochannel multicast groups is considered,
when the channel state is known at the transmitter and from two viewpoints: minimizing total …

Convex optimization methods are widely used in the design and analysis of communication
systems and signal processing algorithms. This tutorial surveys some of recent progress in …