Aerial platforms are expected to deliver enhanced and seamless connectivity in the fifth generation (5G) wireless networks beyond (B5G). Alternatively, reconfigurable smart surfaces (RSS), which smartly exploit/recycle signal reflections environment, increasingly being recognized as a new communication paradigm improve links. In fact, their reduced cost, low power use, light weight, flexible deployment make them an attractive candidate for integration with 5G/B5G technologies. this article,...

Recently, interest on the utilization of unmanned aerial vehicles (UAVs) has aroused. Specifically, UAVs can be used in cellular networks as users for delivery, surveillance, rescue search, or an base station (aBS) communication with ground remote uncovered areas dense environments requiring prompt high capacity. Aiming to satisfy requirements wireless networks, several multiple access techniques have been investigated. In particular, space-division (SDMA) and power-domain non-orthogonal...

Fog computing has emerged as a promising technology that can bring cloud applications closer to the devices at network edge. The fog infrastructure contains mainly distributed and heterogeneous such in context of Internet Things. Unlike traditional data centers, those are characterized by sporadic resources availability, mobility, increased flexibility. However, resource allocation mechanisms proposed currently for still lack support dynamic behavior. In this article, we propose novel...

The use of unmanned aerial vehicles (UAVs) as base stations (BSs) is envisaged a key enabler for the fifth generation (5G) and beyond-5G networks. Specifically, (UAV-BS) are expected to provide ubiquitous connectivity high spectral efficiency. To this end, we present in correspondence an in-depth look into integration rate-splitting multiple access (RSMA) with UAV-BSs downlink transmissions. A non-convex problem joint UAV placement, RSMA precoding, rate splitting, aiming maximize weighted...

The increased proliferation of connected devices requires a development innovative technologies for the next generation wireless systems. One key challenges, however, is spectrum scarcity, owing to unprecedented broadband penetration rate in recent years. Based on this, visible light communication (VLC) has recently emerged as an effective potential solution enabling high-speed short-range communications. Yet, despite their undoubted advantageous features, VLC systems suffer from several...

In this article, we aim to sustain unmanned aerial vehicle (UAV)-based missions for longer periods of times through different techniques. First, consider on-the-mission UAV recharging by a low-power laser source (below 1 kW). order achieve the maximal energy gain from source, propose an operational compromise, which consists resting over buildings with cleared line sight source. Second, provide precise consumption/harvesting estimation at UAV, investigate latter's dynamics in mission...

Recently, unmanned aerial vehicle (UAV) technology is endorsed to enable applications in domains such as Internet of Things (IoT), wireless sensor networks, and cellular networks. Particularly, time-sensitive energy-limited IoT networks located hard-to-reach areas require efficient/cost-effective data collection solution. To address this matter, we consider a multi-UAV enabled network, where several UAVs collect from time-constrained nodes (SNs). In our framework, SNs are managed by cluster...

In this paper, we propose a framework design for wireless sensor networks based on multiple unmanned aerial vehicles (UAVs). Specifically, aim to minimize deployment and operational costs, with respect budget power constraints. To end, first optimize the number locations of cluster heads (CHs) guaranteeing data collection from all sensors. Then, flight time, trajectories UAVs. Accordingly, distinguish two trajectory approaches: 1) where UAV hovers exactly above visited CH; 2) within range...

The retail industry is facing an inevitable transformation worldwide, which accelerating with the current pandemic situation. Indeed, consumer habits are shifting from brick-and-mortar stores to online shopping. bottleneck in shopping experience remains efficient and fast delivery consumers. In this context, unmanned aerial vehicle (UAV) technology seen as a potential solution address cargo issues. Hence, number of UAVs expected increase next few decades airspace become crowded. To...

Unmanned aerial vehicles (UAVs) can be users that support new applications, or communication access points serve terrestrial and/or users. In this paper, we focus on the connectivity problem of when they are exclusively served by base stations (BS), i.e., UAV-BSs. Specifically, 3D placement a directional-antenna equipped UAV-BS, aiming to maximize number covered under spectrum sharing policy with networks, is investigated. Given known between and propose algorithm achieves optimality....

Non-terrestrial networks, including Unmanned Aerial Vehicles (UAVs), High Altitude Platform Station (HAPS) nodes and Low Earth Orbiting (LEO) satellites, are expected to have a pivotal role in sixth-generation wireless networks. With inherent features such as flexible placement, wide footprints, preferred channel conditions, they can tackle several challenges faced by current terrestrial However, their successful widespread adoption relies on energy-efficient on-board communication systems....

The advent of 5G networks has facilitated various Industry 4.0 applications requiring stringent Quality-of-Service (QoS) demands, notably Ultra-Reliable Low-Latency Communication (URLLC). Multi-Access Edge Computing (MEC) emerged as a key technology to support these URLLC by bringing computational resources closer the user, thus reducing latency. Meanwhile, Network Function Virtualization (NFV) plays broader role in supporting offering flexibility and scalability service provisioning across...

Fog computing emerged as a new paradigm that pushes cloud applications to the network edge. The fog infrastructure contains mainly distributed and heterogeneous nodes are characterized by their complex distribution, high mobility sporadic resources availability. This dynamic behavior triggers challenges in resource management process, such coordination for continuous quality-of-service satisfaction. In this paper, we propose smart online allocation approach adapted environments, aiming at...

In this paper, we focus on energy-efficient UAV-based IoT data collection in sensor networks which the sensed have different time deadlines. investigated setting, sensors are clustered and managed by cluster heads (CHs), multiple UAVs used to collect from CHs. The formulated problem is solved through a two-step approach. first step, an efficient method proposed determine minimal number of CHs their best locations. Subsequently, trajectories obtained solving associated capacitated vehicle...

We investigate here a reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) communication between gateway an Internet-of-Things (IoT) device, where both RIS IoT device need to harvest energy prior communication. Within this context, we study our system for two operations, namely switching from harvesting data transmission phase-shifting ensure maximize the rate at device. consider generalized non-orthogonal spectrum-sharing (NOSS)...

In a cognitive relay network, secondary cooperative transmission, sharing the same spectrum band with N primary transmissions, is considered. Assuming imperfect channel state knowledge of interference channels (from transmitters to receivers) at nodes, we investigate problem achievable rate maximization under constraint on caused receivers. Different scenarios are defined based accuracy estimating receivers and number feedback quantization bits. For each scenario, derive expressions for both...

The impact of information and communication technologies on global energy consumption is increasing every year, mobile networks account for a significant portion it. More than 50 percent the total issued from radio access (RANs), due mainly to rapid penetration data-intensive applications heterogeneity, dynamicity, unpredictability traffic. To tackle these high-demanding problems, RAN densification through installation additional base stations in high-demand areas conventionally used....

In underlay cognitive radio networks, unlicensed secondary users are allowed to share the spectrum with licensed primary when interference induced on transmission is limited. this paper, we propose a new cooperative scheme for networks where relay node able help both and transmissions. We derive exact closed-form upper bound expressions of conditional outage probabilities over Rayleigh fading channels. Furthermore, proposed simple power allocation algorithm. Finally, using numerical...

The advent of a new breed enhanced multimedia services has put network operators into position where they must support innovative while ensuring both end-to-end Quality Service requirements and profitability. Recently, Network Function Virtualization (NFV) been touted as cost-effective underlying technology in 5G networks to efficiently provision novel services. These NFV-based have increasingly associated with multi-domain networks. However, several orchestration issues, linked cross-domain...

To cope with the current pandemic situation and reinstate pseudo-normal daily life, several measures have been deployed maintained, such as mask wearing, social distancing, hands sanitizing, etc. Since outdoor cultural events, concerts, picnics, are gradually allowed, a close monitoring of crowd activity is needed to avoid undesired contact disease transmission. In this context, intelligent unmanned aerial vehicles (UAVs) can be occasionally ensure surveillance these activities, that health...

Device-to-Device (D2D) communication has gained interest as a promising technology for next generation wireless networks. D2D promotes the use of point-to-point communications between users without going through base stations. In this paper, we aim at maximizing sum rate network, under assumption realistic time-varying channels and interference. Specifically, formulate Finite-State Markov Channels (FSMC). With FSMC, complexity problem is high. Consequently, propose centralized Deep...

Fog computing (FC) emerged as a new paradigm enabling the deployment of Internet Things (IoT) applications. infrastructure is composed heterogeneous nodes characterized by complex distribution, mobility, and sporadic resource availability. Hence, coordination for continuous Quality-of-Service (QoS) satisfaction becomes challenging, accurate tracking needed flawless servicing. In this context, we investigate propose online allocation solutions. The main objective to maximize number satisfied...