This paper investigates the physical-layer security in a Virtual Antenna Array (VAA)-aided Device-to-Device Multicast (D2DM) communication system, where User Equipments (UEs) who cache common content will form VAA system and cooperatively multicast to UEs desire it. Specifically, with target of securing VAA-aided D2DM under threat multiple eavesdroppers, we propose secure beamforming scheme by ...

This paper proposes a recursive conic approximation methodology to deal with the optimal power flow (OPF) problem in unbalanced bipolar DC networks. The OPF is formulated through nonlinear programming (NLP) representation, where objective function corresponds minimization of expected grid losses for particular load scenario. NLP formulation has non-convex structure due hyperbolic equality const...

In this letter, we investigate a cell-free network aided by hybrid reconfigurable intelligent surfaces (RISs), which consists of mixture passive and active elements that are capable amplifying reflecting the incident signal. To maximize energy efficiency (EE) system, formulate joint transmit beamforming RIS coefficient optimization problem. deal with fractional objective function, Dinkelbach tr...

In this paper, we consider a mobile edge computing (MEC)-based secure computation offloading system, and design practical multi-eavesdropper model including two specific scenarios of non-colluding colluding eavesdropping. Furthermore, requirement satisfaction by exploring variations in user request patterns for security provisioning, delay reduction energy saving. Based on these, propose satisf...

Unmanned-aerial-vehicle (UAV)-aided data collection for Internet of Things applications has attracted increasing attention. This paper investigates motion planning UAV collecting low-power ground sensor node (SN) in a dynamic jamming environment. We targeted minimizing the flight energy consumption via optimization trajectory while considering indispensable constraints which cover demodulation ...

Radio frequency wireless energy transfer (WET) is a promising solution for powering autonomous Internet of Things (IoT) deployments. In this work, we leverage beamforming multiple user equipments (UEs) with stringent harvesting (EH) demands in an indoor distributed massive multiple-input multiple-output system. Based on semi-definite programming, successive convex approximation (SCA), and maxim...

This paper proposes a new family of algorithms for training neural networks (NNs). These are based on recent developments in the field of non-convex optimization, going under the general name of successive convex approximation (SCA) techniques. The basic idea is to iteratively replace the original (non-convex, highly dimensional) learning problem with a sequence of (strongly convex) approximati...

In this paper, we consider the robust beamforming design in a reconfigurable intelligent surface (RIS)-aided cell-free (CF) system considering channel state information (CSI) uncertainties of both direct channels and cascaded at transmitter with capacity-limited backhaul. We jointly optimize precoding access points (APs) phase shifts multiple RISs to maximize worst-case sum rate CF subject cons...

This paper considers a novel scenario, where physical layer security issue is studied in unmanned aerial vehicles (UAVs)-assisted cognitive relay system. A secondary vehicle (SUAV) delivers information from multiple Internet of things (IoT) devices to user (SU) under the spectrum sharing with primary users (PUs). In processing transmission SUAV relay, eavesdropper (SE) wiretaps transmitted by U...

This letter studies a cellular-connected unmanned aerial vehicle (UAV) scenario, in which UAV user communicates with ground base stations (GBSs) cellular uplink by sharing the spectrum users (GUs). To deal severe air-to-ground (A2G) co-channel interference, we consider an adaptive interference cancellation (IC) approach, each GBS can decode GU’s messages adaptively switching between modes of IC...