This work considers unmanned aerial vehicle (UAV) networks for collecting data covertly from ground users. The full-duplex (FD) UAV intends to gather critical information a scheduled user (SU) through wireless communication and generate artificial noise (AN) with random transmit power in order ensure negligible probability of the SU’s transmission being detected by unscheduled users (USUs). To ...

This paper investigates unmanned aerial vehicle (UAV) data collection systems with different multiple access schemes, where a rotary-wing UAV is dispatched to collect from ground nodes (GNs). Our goal maximize the minimum throughput GNs for both orthogonal (OMA) and non-orthogonal (NOMA) transmission, subject energy budgets at GNs, namely \emph{double limitations}. 1) For OMA, we propose an eff...

This letter investigates the optimization of beamforming design in a system with integrated sensing and communication (ISAC), where base station (BS) sends signals for simultaneous multiuser radar sensing. We aim at maximizing energy efficiency (EE) while guaranteeing requirement terms individual beampattern gains. The problem is complicated nonconvex fractional program which challenging to be ...

This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the RIS is equipped reflective amplifier, which can effectively circumvent “double path loss” attenuation. We propose a joint and communication design to minimize maximum computational latency (MCL), subject both phase shift constraints capability cons...

Intelligent reflecting surfaces (IRS) are considered one of the prominent technologies to be adopted in 6G and beyond networks. However, main IRS limitations is restricting communication reflective dimension, which means that users located behind surface cannot benefit from it. In this paper, we make use intelligent omni-surfaces (IOS), as an alternative IRS, addition unmanned aerial vehicles (...

In this two-part paper, we propose a general algorithmic framework for the minimization of a nonconvex smooth function subject to nonconvex smooth constraints. The algorithm solves a sequence of (separable) strongly convex problems and mantains feasibility at each iteration. Convergence to a stationary solution of the original nonconvex optimization is established. Our framework is very general...

This paper proposes a precoded optical space-domain index modulation scheme for indoor visible light communications, which is based on the optimization of minimum Euclidean distance spatial (OSM) with real-valued constellations. We find that precoding matrix design can be formulated as non-convex quadratically constrained quadratic program (QCQP), whose solution generally intractable. To tackle...

We consider utility maximization problems in the downlink cell-free massive multiple-input multiple-output (MIMO) whereby a large number of access points (APs) simultaneously serve group users. Four fundamental objectives are interest: (i) average spectral efficiency (SE), (ii) proportional fairness, (iii) harmonic-rate, and (iv) minimum SE all users, subject to sum power constraint at each AP....

In this letter, a reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) network is investigated. To quantify the freshness of data packets at receiver, age (AoI) considered. minimize sum AoI users while ensuring that transferred to energy harvesting greater than demanded value, we formulate scheduling scheme, joint transmit beamforming ph...

In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) systems, UAVs can carry servers to help ground user equipment (UEs) offloading their tasks the for execution. This letter aims minimize total time required complete offloaded tasks, while optimizing three-dimensional (3-D) deployment of UAVs, including flying height and horizontal positions. Although formulated optimization is...