Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond (B5G). Unmanned aerial vehicles (UAVs) are expected be an important component of upcoming wireless networks that can potentially facilitate broadcast support high rate transmissions. Compared communications with fixed infrastructure, UAV has salient attributes, such as flexible deployment, strong line-of-sight (LoS) connection links, additional design degrees freedom controlled mobility. In this...

Wireless sensor networks (WSNs) have attracted substantial research interest, especially in the context of performing monitoring and surveillance tasks. However, it is challenging to strike compelling trade-offs amongst various conflicting optimization criteria, such as network's energy dissipation, packet-loss rate, coverage lifetime. This paper provides a tutorial survey recent development efforts addressing this issue by using technique multi-objective (MOO). First, we provide an overview...

Low earth orbit (LEO) satellite networks can break through geographical restrictions and achieve global wireless coverage, which is an indispensable choice for future mobile communication systems. In this article, we present a hybrid cloud edge computing LEO (CECLS) network with three-tier computation architecture, provide ground users heterogeneous resources enable to obtain services around the world. With CECLS investigate offloading decisions minimize sum energy consumption of users,...

Research and processing development on satellite communications has strongly re-emerged in recent years. Following the prosperity of various wireless services provided by communications, security issue raised growing concerns since space information network is susceptible to be eavesdropped illegal adversaries such a large-scale network. Recently, physical-layer (PLS) emerged as an alternative paradigm that explores randomness channel achieve confidentiality authentication. The success story...

Wireless communications can leverage UAVs to provide ubiquitous connectivity different device types. Recently, integrating into a macro cell network is drawing unprecedented interest for supplementing terrestrial cellular networks. Compared with fixed infrastructure, UAV has salient attributes, such as easy-to-deploy, higher capacity due dominant LoS communication links, and additional design degree-of-freedom the controlled mobility. While offers numerous benefits, it also faces security...

Considering the user mobility and unpredictable mobile edge computing (MEC) environments, this paper studies intelligent task offloading problem in unmanned aerial vehicle (UAV)-enabled MEC with assistance of digital twin (DT). We aim at minimizing energy consumption entire system by jointly optimizing terminal users (MTUs) association, UAV trajectory, transmission power distribution computation capacity allocation while respecting constraints mission maximum processing delays. Specifically,...

With the high flexibility of supporting resource-intensive and time-sensitive applications, unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an innovational paradigm to support users (MUs). As a promising technology, digital twin (DT) capable timely mapping physical entities virtual models, reflecting MEC network state in real-time. In this paper, we first propose with multiple movable UAVs one DT-empowered ground base station enhance service for MUs....

Passive multimedia forensics has become an active topic in recent years. However, less attention been paid to video forensics. Research on forensics, and especially automatic detection of object-based forgery, is still its infancy. In this paper, we develop approach for identification forged segment localization encoded with advanced frameworks. The proposed starts a frame manipulation detector. An algorithm identify forgery based the Then, two-stage provided accurately locate segments...

Cognitive satellite–terrestrial networks (CSTNs) have been recognized as a promising network architecture for addressing spectrum scarcity problem in next-generation communication networks. In this paper, we investigate the secure transmission CSTNs where terrestrial base station serving green interference resource is introduced to enhance security of satellite link. Adopting stochastic model channel state information uncertainty, propose and robust beamforming framework minimize transmit...

This paper develops a tractable analysis framework to evaluate the reliability and security performance of cooperative non-orthogonal multiple access (co-NOMA) in cognitive networks, where both primary base station (PBS) NOMA-strong user (PU) send confidential messages uniformly distributed PUs presence randomly located external eavesdroppers. For constricting interference imposed by femto stations (CFBSs), mobile association scheme is introduced. Moreover, an eavesdropper-exclusion zone...

Reconfigurable intelligent surface (RIS) has been considered in wireless communication systems to improve spectral efficiency. This letter addresses the spectrum sharing problem between multiple-input-multiple-output (MIMO) radar and multi-user MISO systems, where RIS is exploited deal with interference imposed by base station (BS). We aim maximize detection probability jointly optimizing BS transmit beamformer phase shift matrix, subject users' signal-to-interference-plus-noise-ratio power...

In this paper, we investigate an artificial-noise-aided secure beamforming design for simultaneous wireless information and power transfer in a two-tier downlink heterogeneous cellular network, which each energy receiver femtocell is seen as potential eavesdropper to wiretap the confidential message intended receiver. Our objective maximize secrecy rate at receiver, while satisfying signal-to-interference-plus-noise ratio requirement of macrouser harvesting transmit constraints. Both...

In this letter, we investigate the secure transmission in a cognitive satellite-terrestrial network with multi-antennas eavesdropper, where interference from terrestrial base station is introduced to enhance security of satellite link. Our objective minimize transmit power by jointly optimizing cooperative beamforming and artificial noise while guaranteeing secrecy rate constraint for link, information link total constraint. Both scenarios perfect imperfect channel cases are considered. The...

We devised a functional form stable composite phase‐change materials (PCMs) to achieve three‐dimensional (3D) interconnected porous carbon aerogel structure for encapsulating polyethylene glycol (PEG). A novel homogeneity reinforced with well‐interconnected was constructed by combining flexible resource from biomass guar gum hard‐brittle polyimide, overcome severe shrinkage and poor mechanical performance of traditional aerogel. The supporting aerogel‐encapsulated PEG produced the PCMs good...

Integrating unmanned aerial vehicles (UAVs) into vehicular networks have shown high potentials in affording intensive computing tasks. In this paper, we study the digital twin driven edge for adaptively resource management where an vehicle (UAV) named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">FlexEdge</i> acts as a flying server. particular, first formulate energy consumption minimization problem by jointly optimizing UAV trajectory and...

For multiple Unmanned-Aerial-Vehicles (UAVs) assisted Mobile Edge Computing (MEC) networks, we study the problem of combined computation and communication for user equipments deployed with multi-type tasks. Specifically, consider that MEC network encompasses both uncertainties, where partial channel state information inaccurate estimation task complexity are only available. We introduce a robust design accounting these uncertainties minimize total weighted energy consumption by jointly...

In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network. Specifically, the users perform radar sensing offloading on same spectrum, while unmanned aerial vehicles (UAVs) are deployed to provide edge computing service. We first formulate multi-objective optimization problem minimize beampattern performance of multi-input multi-output (MIMO) radars energy consumption simultaneously. Then, explore prediction capability DT intelligent...

Motivated by the low-jitter requirements of streaming multi-media traffic, we focus on development scheduling strategies under fading conditions that not only maximize throughput performance but also provide regular inter-service times to users. Since service regularity traffic is related higher-order statistics arrival process and policy operation, it highly challenging characterize analyze directly. We overcome this obstacle introducing a new quantity, namely time-since-last-service, which...

Hospital department layout problems (HDLPs) are significant in enhancing service quality and reducing patients' travel distance time. Their studies scarce comparison with those for facility manufacturing systems. Existing approaches to HDLPs usually adopt simplified models thus gain very limited applications a real world. typically involve multiple objectives that may conflict each other. There have been no on their multiobjective heuristic our best knowledge. In this paper, we propose tabu...

This article establishes a three-tier mobile edge computing (MEC) network, which takes into account the cooperation between unmanned aerial vehicles (UAVs). In this MEC we aim to minimize processing delay of tasks by jointly optimizing deployment UAVs and offloading decisions, while meeting capacity constraint UAVs. However, resulting optimization problem is nonconvex, cannot be solved general tools in an effective efficient way. To end, propose two-layer algorithm tackle non-convexity...