Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a prominent concept, where UAV equipped with an MEC server deployed to serve number of terminal devices (TDs) Internet Things in finite period. In this article, each TD has certain latency-critical computation task time slot complete. Three strategies can be available TD. First, operate local by itself. Second, partially offload bits the for computing. Third, choose access point via relaying. We propose new...

Unmanned aerial vehicle (UAV) has been widely applied in internet-of-things (IoT) scenarios while the security for UAV communications remains a challenging problem due to broadcast nature of line-of-sight (LoS) wireless channels. This article investigates problems dual UAV-assisted mobile edge computing (MEC) systems, where one is invoked help ground terminal devices (TDs) compute offloaded tasks and other acts as jammer suppress vicious eavesdroppers. In our framework, minimum secure...

This paper focuses on resource allocation in energy-cooperation enabled two-tier heterogeneous networks (HetNets) with non-orthogonal multiple access (NOMA), where base stations (BSs) are powered by both renewable energy sources and the conventional grid. Each BS can serve users at same time frequency band. To deal fluctuation of harvesting, we consider that be shared between BSs via smart In such networks, user association power control need to re-designed, since existing approaches based...

With the high altitude and flexible mobility, unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) is becoming a promising technology to cope with computation-intensive latency-critical task in prospective Internet of Things. In this paper, we propose novel MEC system several ground servers at access points one server carried by UAV. To balance vital metrics system, computation bits energy consumption, aim maximize weighted efficiency subject constraints on communication...

In this article, we investigate the content distribution in hotspot area, whose traffic is offloaded by combination of unmanned aerial vehicle (UAV) communication and edge caching. cache-enabling UAV-assisted cellular networks, network deployment resource allocation are vital for quality experience (QoE) users with applications. We formulate a joint optimization problem UAV deployment, caching placement user association maximizing QoE users, which evaluated mean opinion score (MOS). To solve...

In post-disaster scenarios, it is challenging to provide reliable and flexible emergency communications, especially when the mobile infrastructure seriously damaged. This article investigates unmanned aerial vehicle (UAV)-based communication networks, in which UAV used as a base station for collecting information from ground users affected areas. Due breakdown of power system after disasters, available energy user equipment (UE) limited. Meanwhile, with complex geographical conditions there...

This article investigates the cache-enabling unmanned aerial vehicle (UAV) cellular networks with massive access capability supported by non-orthogonal multiple (NOMA). The delivery of a large volume multimedia contents for ground users is assisted mobile UAV base station, which caches some popular wireless backhaul link traffic offloading. In NOMA networks, caching placement content phase and radio resource allocation are crucial network performance. To cope dynamic locations requests in...

The explosive computation demands in the Internet of Things (IoT) have triggered research interests on unmanned aerial vehicle (UAV) assisted mobile-edge computing (MEC) systems even though there are still many challenges, such as delay requirement, multi-UAV cooperation, and resource management. This letter focuses issue MEC by multiple UAVs with goal task completion time minimization. In particular, both partial offloading binary modes considered jointly optimizing slot size, terminal...

In this letter, fully convolutional denoising approximate message passing (FCDAMP) algorithm is proposed by combining networks with learned in millimeter-wave massive MIMO system. particular, an asymmetric neural network architecture considered that can learn channel structure and extract noise characteristics. Simulation analysis show the FCDAMP satisfies lower estimation error higher achievable sum rate especially low SNR. Moreover, performance be further improved increasing antenna array

With the exponential growth of data traffic in wireless networks, edge caching has been regarded as a promising solution to offload and alleviate backhaul congestion, where contents can be cached by an unmanned aerial vehicle (UAV) user terminal (UT) with local storage. In this article, cooperative architecture UAV UTs scalable video coding (SVC) is proposed, which provides high transmission rate content delivery personalized viewing qualities hotspot areas. proposed cache-enabling UAV-D2D...

In the Internet-of-Things scenarios, unmanned aerial vehicle (UAV), as a popular platform, is calling for ever-increasing computing support. This letter proposes novel mobile edge (MEC) framework UAV with assistance of reconfigurable intelligence surface (RIS), where offloads computation tasks to ground access points (APs) an RIS, during which non-orthogonal multiple (NOMA) scheme employed. We maximize UAV's capacity by jointly optimizing reflecting phase shift, communication and (2C)...

Mobile-edge computing (MEC) networks are facing limited coverage and harsh wireless transmission environments that severely hinder the computation capacity of Internet-of-Things (IoT) devices. To overcome these issues, this article proposes a novel MEC framework empowered by an unmanned aerial vehicle (UAV) relay reconfigurable intelligence surface (RIS). fully exploit potentials in terms enhancement brought joint UAV RIS design, we formulate max–min problem via determining uplink signal...

We propose an unmanned aerial vehicle (UAV) enabled integrated sensing, computing, and communication (U-ISCC) framework, where a treble-functional UAV performs local computation also delivers its computational tasks to ground access points. Meanwhile, this is employed sense target by using the unified beam waves. Our goal characterize Pareto boundary between capacity sensing beampattern gain, which fundamental trade-off of them unveiled. To solve challenging problem, we joint optimization...

Unmanned aerial vehicle (UAV)-aided two-way relay networks with multiple terrestrial user pairs is investigated, where a fix-wing UAV served as to assist information transmission. We aim maximize the total rate of while quality service (QoS) being guaranteed. A novel strategy, namely <i>time-slots pairing</i>, proposed by exploiting physical-layer network coding (PNC) protocol. Specifically, receives and buffers signals from scheduled pair when approaches one them, then forwards modulated...

The cache-enabling unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) networks for mixture of augmented reality (AR) and normal multimedia applications are investigated, which is assisted by UAV base stations. user association, power allocation NOMA, deployment UAVs caching placement jointly optimized to minimize the content delivery delay. A branch bound (BaB) based algorithm proposed obtain per-slot optimization. To cope with dynamic requests mobility users in practical...

In this paper, we consider a mobile edge computing (MEC) network where multiple cellular-connected unmanned aerial vehicles (UAVs) can offload their computation tasks to ground base stations (GBSs). practice, the UAVs are generally unable master stochastic information of task arrival and channel changes in advance, which may cause severe issue terms energy consumption. Therefore, formulate optimization problem with goal minimizing average weighted sum consumption, by jointly optimizing...

This paper proposes a joint sensing, communication and computation (JSCC) framework in unmanned aerial vehicle (UAV)-assisted systems, where multi-functional terminal devices (TDs) can perform high-accuracy radar sensing as well offload data to an airborne mobile edge computing (MEC) server over the same frequency band. The key objective of JSCC is simultaneously minimize transmitted beampattern matching error whilst maximizing minimum efficiency TDs. problem formulated multi-objective...

This paper proposes a novel simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted unmanned aerial vehicle (UAV) non-orthogonal multiple access (NOMA) emergency communication network. Multiple STAR-RISs are deployed to provide additional transmission links between trapped users UAV-mounted base station (BS). Each user selects the nearest STAR-RIS for uploading data, NOMA is employed located at same side of STAR-RIS. Considering practical...

The unmanned aerial vehicles (UAVs) are able to assist damaged cellular networks as base stations (ABSs) due their flexibility and affordability. This paper investigates the cache-enabled UAV emergency communication in post-disaster area using stochastic geometry approaches. We propose a network framework which limited number of ABSs deployed overlaid partially destructed network. equipped with cache units that adopt probabilistic caching strategy. design content-centric association strategy...

In the multiple unmanned aerial vehicle (UAV) mobile edge computing (MEC) systems, cooperative computation among UAVs can improve overall service capability. Multi-UAV MEC systems meet quality of requirements for intensive applications ground terminals (GTs) in complex field environments, emergency disaster relief and other special scenarios. this paper, a multi-UAV framework is proposed while taking GT movement random arrival tasks into consideration. A long-term optimization problem...

In Internet of Things (IoT) applications with multihop networking, not only traditional energy efficiency but also many distinct features should be considered when designing routing protocols, including different security requirements, heterogeneity, and scalability. this article, an energy-efficient multilevel secure (EEMSR) protocol in IoT networks is proposed. Considering that clustering a reasonable solution conserving energy, cluster-based utilized to reduce the high communication...

With the rapid growth of data traffic in cellular networks, edge caching has become an emerging technology for offloading. We investigate placement and content delivery cache-enabling networks. To cope with time-varying popularity user location practical scenarios, we formulate a long-term joint dynamic optimization problem association minimizing delay which considers both transmission update delay. solve this challenging problem, decompose into two sub-problems, sub-problem short time scale...