Reconfigurable intelligent surfaces (RISs), also known as reflecting (IRSs), or large (LISs), <xref ref-type="fn" rid="fn1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">¹</xref> have received significant attention for their potential to enhance the capacity and coverage of wireless networks by smartly reconfiguring propagation environment. Therefore, RISs are considered a promising technology sixth-generation (6G) communication...

A novel framework is proposed for the trajectory design of multiple unmanned aerial vehicles (UAVs) based on prediction users' mobility information. The problem ofjoint and power control formulated maximizing instantaneous sum transmit rate while satisfying requirement users. In an effort to solve this pertinent problem, a threestep approach proposed, which machine learning techniques obtain both position information users UAVs. First, multi-agent Q-learning-based placement algorithm...

A novel framework is proposed for quality of experience driven deployment and dynamic movement multiple unmanned aerial vehicles (UAVs). The problem joint non-convex three-dimensional (3-D) the UAVs formulated maximizing sum mean opinion score ground users, which proved to be NP-hard. In aim solving this pertinent problem, a three-step approach attaining 3-D UAVs. First, genetic algorithm based K-means (GAK-means) utilized obtaining cell partition users. Second, Q-learning proposed, in each...

A novel framework is proposed for integrating reconfigurable intelligent surfaces (RIS) in unmanned aerial vehicle (UAV) enabled wireless networks, where an RIS deployed enhancing the service quality of UAV. Non-orthogonal multiple access (NOMA) technique invoked to further improve spectrum efficiency network, while mobile users (MUs) are considered as roaming continuously. The energy consumption minimizing problem formulated by jointly designing movement UAV, phase shifts RIS, power...

A novel framework is proposed for the deployment and passive beamforming design of a reconfigurable intelligent surface (RIS) with aid non-orthogonal multiple access (NOMA) technology. The problem joint deployment, phase shift design, as well power allocation in multiple-input-single-output (MISO) NOMA network formulated maximizing energy efficiency considering users particular data requirements. To tackle this pertinent problem, machine learning approaches are adopted two steps. Firstly,...

This article proposes a novel framework of resource allocation in multi-cell intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where an IRS is deployed to enhance the wireless service. The problem joint user association, subchannel assignment, power allocation, phase shifts design, and decoding order determination formulated for maximizing achievable sum rate. challenging mixed-integer non-linear decomposed into optimization subproblem (P1) with...

This article focuses on the exploitation of reconfigurable intelligent surfaces (RISs) in multi-user networks employing orthogonal multiple access (OMA) or non-orthogonal (NOMA), with an emphasis investigating interplay between NOMA and RIS. Depending whether RIS reflection coefficients can be adjusted only once times during one transmission, we distinguish static dynamic configurations. In particular, capacity region aided single-antenna is characterized compared OMA rate from...

A novel framework is proposed for cellular offloading with the aid of multiple unmanned aerial vehicles (UAVs), while non-orthogonal access (NOMA) technique employed at each UAV to further improve spectrum efficiency wireless network. The optimization problem joint three-dimensional (3D) trajectory design and power allocation formulated maximizing throughput. Since ground mobile users are considered as roaming continuously, UAVs need be re-deployed timely based on movement users. In an...

In this article, we propose artificial intelligence (AI) enabled unmanned aerial vehicle (UAV) aided wireless networks (UAWN) for overcoming the challenges imposed by random fluctuation of channels, blocking and user mobility effects. UAWN, multiple UAVs are employed as base stations, which capable promptly adapting to randomly fluctuating environment collecting information about users' position tele-traffic demands, learning from acting upon satisfaction level feedback received users....

The effective trajectory design of multiple unmanned aerial vehicles (UAVs) is investigated for improving the capacity communication system. aim maximizing real-time downlink under coverage constraint by reaping mobility benefits UAVs. problem three-dimension (3D) dynamic movement UAVs formulated as a Constrained Markov Decision Process (CMDP) problem, while constrained Deep Q-Network (cDQN) algorithm proposed solving problem. In cDQN model, each UAV acts an agent to explore and learn its 3D...

A novel framework is proposed for enhancing the driving safety and fuel economy of autonomous vehicles (AVs) with aid vehicle-to-infrastructure (V2I) communication networks. The problem trajectory design formulated minimizing total consumption, while (by obeying traffic rules avoiding obstacles). In an effort to solve this pertinent problem, a deep reinforcement learning (DRL) approach making collision-free decisions. Firstly, Q-network (DQN) aided algorithm determining velocity AV by...

Driven by the unprecedented high throughput and low latency requirements anticipated for next generation wireless networks, this article introduces an artificial intelligence (AI)-enabled framework in which unmanned aerial vehicles use non-orthogonal multiple access mobile edge computing techniques to serve terrestrial users (MUs). The proposed enables MUs offload their computational tasks simultaneously, intelligently, flexibly, thus enhancing connectivity as well reducing transmission...

A novel framework of intelligent reflecting surface (IRS)-aided multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) network is proposed, where a base station (BS) serves clusters with unfixed number users in each cluster. The goal to maximize the sum rate all by jointly optimizing passive beamforming vector at IRS, decoding order, power allocation coefficient and clusters, subject requirements users. In order tackle formulated problem, three-step approach proposed. More...

A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless networks is proposed, where an RIS mounted on the robot invoked to enable mobility and enhance service quality for mobile users. Meanwhile, non-orthogonal multiple access (NOMA) techniques are adopted further increase spectrum efficiency since RISs capable providing NOMA with artificial controlled channel conditions, which can be seen as a beneficial operation condition obtain gains. To optimize sum rate...

There is an increasing demand for indoor navigation and localization systems along with the popularity of location based services in recent years. According to past researches, Bluetooth a promising technology wireless positioning due its cost-effectiveness easy-to-deploy feature. This paper studied three typical fingerprinting-based algorithms - kNN, Neural Networks SVM. our analysis experimental results, kNN regression method proven be good candidate real-life application. Comprehensive...

The development of intelligent logistics increasingly leads the evolution future supply chain technology. As an innovative technology in field logistics, Unmanned Aerial Vehicles (UAVs) provide efficient, fast and flexible solutions for transportation delivery. However, application UAVs needs to ensure effective identity authentication security delivery process. Because biometric data (such as fingerprints, facial recognition, iris scans) is highly sensitive personal information. Once stolen...

Today's complex integrated circuit designs increasingly rely on post-silicon validation to eliminate bugs that escape from pre-silicon verification. One effective silicon debug technique is monitor and trace the behaviors of during its normal operation. However, designers can only afford a small number signals in design due associated overhead. Selecting which therefore crucial issue for effectiveness this technique. This paper proposes an automated signal selection strategy able...

Frequency domain spectroscopy (FDS) is widely used to diagnose the condition of transformer oil–paper insulation. However, FDS measurements are highly temperature dependent. The master curve technique most common method remove effect on FDS, but reliability this largely dependent value activation energy, which can be affected by moisture content and thermal degradation degree. To understand effects these two factors at different temperatures were performed oil‐impregnated pressboards with...

The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) beyond (B5G) communication networks. This article focuses on 5G/B5G-enabled terrestrial robotic communications with an emphasis distinct characteristics such communications. First, signal spatial modeling are presented. To elaborate further, benefits derived from robots' mobility discussed. As a further advance, novel simultaneous localization radio mapping (SLARM) framework...