A survey of recent advances in optimization methods for wireless communications
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …
solution tool for the design of wireless communications systems. While optimization has …
An introduction to convex optimization for communications and signal processing
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 …
systems and signal processing algorithms. This tutorial surveys some of recent progress in …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Intelligent reflecting surface: A programmable wireless environment for physical layer security
In this paper, we introduce an intelligent reflecting surface (IRS) to provide a programmable
wireless environment for physical layer security. By adjusting the reflecting coefficients, the …
wireless environment for physical layer security. By adjusting the reflecting coefficients, the …
UAV-enabled wireless power transfer: Trajectory design and energy optimization
This paper studies a new unmanned aerial vehicle (UAV)-enabled wireless power transfer
system, where a UAV-mounted mobile energy transmitter is dispatched to deliver wireless …
system, where a UAV-mounted mobile energy transmitter is dispatched to deliver wireless …
Optimal wireless resource allocation with random edge graph neural networks
We consider the problem of optimally allocating resources across a set of transmitters and
receivers in a wireless network. The resulting optimization problem takes the form of …
receivers in a wireless network. The resulting optimization problem takes the form of …
Energy-efficient multiaccess edge computing for terrestrial-satellite Internet of Things
The recent advances in low earth orbit (LEO) satellites enable the satellites to provide task
processing capability for remote Internet-of-Things (IoT) mobile devices (IMDs) without …
processing capability for remote Internet-of-Things (IoT) mobile devices (IMDs) without …
Throughput maximization for UAV-enabled wireless powered communication networks
This paper studies an unmanned aerial vehicle (UAV)-enabled wireless powered
communication network (WPCN), in which a UAV is dispatched as a mobile access point …
communication network (WPCN), in which a UAV is dispatched as a mobile access point …
Deep-learning-based wireless resource allocation with application to vehicular networks
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …
interference, improving network efficiency, and ultimately optimizing wireless communication …
Optimal joint power and subcarrier allocation for full-duplex multicarrier non-orthogonal multiple access systems
In this paper, we investigate resource allocation algorithm design for multicarrier non-
orthogonal multiple access (MC-NOMA) systems employing a full-duplex (FD) base station …
orthogonal multiple access (MC-NOMA) systems employing a full-duplex (FD) base station …