For conventional wireless networks, the main target of resource allocation (RA) is to
efficiently utilize the available resources. Generally, there are no changes in the available …

Ambient backscatter (AB) communications and radio frequency (RF)-powered cognitive
radio networks (CRNs) address the concerns of energy and spectrum scarcities from …

In this two-part paper, we propose a general algorithmic framework for the minimization of a
nonconvex smooth function subject to nonconvex smooth constraints, and also consider …

An algorithm for technology map** of combinational and sequential logic networks is
proposed and applied to map** into K-input lookup-tables (K-LUTs). The new algorithm …

In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the
minimization of a nonconvex objective function, subject to nonconvex constraints, based on …

In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently
compute stationary points for a large class of possibly nonconvex optimization problems …

In this work we study a special minimax problem where there are linear constraints that
couple both the minimization and maximization decision variables. The problem is a …

This paper addresses the problem of resource allocation for systems in which a primary and
a secondary link share the available spectrum by an underlay or overlay approach. After …

In this letter we study the potential benefits of improper signaling for a secondary user (SU)
in underlay cognitive radio networks. We consider a basic yet illustrative scenario in which …

In this paper, we examine the maximization of energy efficiency (EE) in next-generation
multiuser MIMO-OFDM networks that vary dynamically over time-eg, due to user mobility …