AI-enabled logistics unmanned aerial vehicles (UAVs) are progressively revealing their unique advantages for future smart cities. Nevertheless, the existing research on UAV path planning lacks to simultaneously consider energy consumption constraints, customer time windows, impacts of wind speed and direction. This omission renders models inappropriate real-world transportation systems. Besides, UAVs still constrained by limited payload battery due highly automatic delivery process....

In unmanned aerial vehicle (UAV)-assisted orthogonal frequency division multiplexing (OFDM) systems, the potential advantage of line-of-sight (LoS) path, characterized by its high probability existence, has not been fully harnessed, thereby impeding improvement channel estimation (CE) accuracy. Inspired ideas integrated sensing and communication (ISAC), this letter develops a LoS method aimed at detecting presence path. Leveraging prior information obtained from path detection, detection...

Energy harvesting has been recognized as a good paradigm to decrease traditional grid energy expenditure, which caters for 5G visions on the green evolution of cellular networks. However, harvested at each base station is random and intermittent, imposes great challenge reliably satisfy time-varying users' wireless traffic requirements. What's worse, perfect probability distributions are hard obtain in practical systems, making it difficult apply conventional optimization approach cope with...

The Internet of Things (IoT) with non-orthogonal multiple access (NOMA) has been anticipated to offer diverse real-time applications, wherein the crux is guarantee age information (AoI) for dynamic traffic. However, traffic temporal variation provokes interdependence between queue status and interference, in which context AoI performance remains be further explored. In this paper, an analytical framework established characterize NOMA-IoT networks random Bernoulli deterministic periodic...

Unmanned aerial vehicles (UAVs) have increasingly become integral to logistics and distribution due their flexibility mobility. However, the existing studies often overlook dynamic nature of customer demands wind conditions, limiting practical applicability proposed strategies. To tackle this challenge, we firstly construct a time-slicing-based UAV path planning model that incorporates impacts. Based on model, two-stage framework is developed according analysis pool updates attitudes....

Integrated sensing and communication (ISAC) is a promising technique that simultaneously provides services, thereby attracting significant attention as hot topic for next wireless systems. Leveraging signal echoes environmental holds potential. Channel estimation (CE), being closely related to information, stands benefit from incorporating this echo sensing. However, despite the promise of ISAC, utilization in sensing-assisted CE has not been well explored, hampering progress enhancing...

Benefiting from the intrinsic convenience, flexibility, low cost, and unmanned aerial vehicles (UAVs) are envisioned to play an important role in future wireless communication systems. However, limited on-board battery capacities broadcast characteristic of air-to-ground channels bring some nonnegligible challenges on achieving secure UAV communications. To tackle these challenges, we propose apply both power transfer physical layer security techniques a system. We investigate secrecy rate...

Energy harvesting has been considered as a promising technique to decrease the conventional grid energy expenditure. However, most renewable sources are unreliable and random. To overcome these drawbacks, besides commonly adopted approaches such purchasing power from deploying batteries, cooperation is an appealing solution. In this paper, we investigate management problem by jointly optimizing data admission rate, transmit power, sharing among base stations (BSs), battery charging...

Energy harvesting has been recognized as a promising technique with which to effectively reduce carbon emissions and electricity expenses of base stations. However, renewable energy is inherently stochastic intermittent, imposing formidable challenges on reliably satisfying users' time-varying wireless traffic demands. In addition, the probability distribution or demand not always fully known in practice. this paper, we minimize total cost hybrid-energy-powered cellular network by jointly...

We experimentally and theoretically investigate the effects of utilizing BaTiO3 nanoparticles as additives in polythiophene/fullerene solar cells. were chosen because their multifaceted potential for increasing exciton dissociation (due to high dielectric constant) light scattering. To achieve stable suspensions device fabrication, functionalized with organic ligands. Solar cells fabricated air showed ∼40% enhancement photocurrent primarily due string-like aggregates particles that increase...

This work investigates the time-constrained unmanned aerial vehicle (UAV) aided data collection problem for Internet of Thing (IoT) networks, where multiple IoT devices (IoTDs) harvest solar energy and send their sensed to UAV in uplink by applying time division access (TDMA) method. Specifically, we propose maximize total number served IoTDs a finite gathering period via optimizing trajectory UAV, allocation transmitting power under UAV's maximum flight speed constraint, harvesting...

Unmanned aerial vehicle (UAV) has been utilized as an efficient data collector for Internet of Things (IoT) networks in sustainable industry 5.0. Whereas, how to sustain a stable power the energy-constrained IoT devices (IoTDs) and enhance gathering throughput UAV-aided via wireless transfer (WPT) or non-orthogonal multiple access (NOMA) is twofold challenge. Thus, we propose maximize minimum UAV collection from IoTDs jointly optimizing three-dimensional (3D) trajectories two UAVs,...

Unmanned aerial vehicle (UAV) communication has been recognized as an appealing technology for the efficient data collection in Internet of Things (IoT) networks. Whereas, majority existing strategies UAV-aided IoT networks with wireless power transfer (WPT) or non-orthogonal multiple access (NOMA) are mostly only have a single UAV, which cannot meet requirement massive Thus, we propose to maximize minimum rate UAVs from devices (IoTDs) NOMA-based dual-UAV system by jointly optimizing UAVs'...

In heterogeneous multi-cell networks (HetNets), inter-and intra-cell interference are critical issues impairing the performance. this paper, frequency-hopping (FH) technique based on an attractive FH sequence (FHS) set with two-level Hamming correlations is exploited in such networks. Motivating from idea of no-and low-hit-zone FHS sets, a construction algorithm new proposed by utilizing interleaving technique. Then, performance metric terms correlation properties derived, which verified...

Abstract We present a novel, compact bounding volume hierarchy, TSS BVH, for ray tracing subdivision surfaces computed by the Catmull‐Clark scheme. use Tetrahedron Swept Sphere (TSS) as to tightly bound limit of such given user tolerance. Geometric coordinates defining our volumes are implicitly from subdivided mesh via simple vertex ordering method, and each level BVH is associated with single distance bound, utilizing These features result in linear space complexity function tree depth,...