<p>In the rapidly evolving landscape of natural language processing (NLP), ChatGPT has emerged as a powerful tool for various industries and applications. To fully harness potential ChatGPT, it is crucial to understand master art prompt engineering-the process designing refining input prompts elicit desired responses from an AI NLP model. This article provides comprehensive guide mastering engineering techniques, tips, best practices achieve optimal outcomes with ChatGPT. The...

In the past year, fifth-generation (5G) wireless technology has seen dramatic growth, spurred on by continuing demand for faster data communications with lower latency. At same time, many researchers argue that 5G will be inadequate in a short given explosive growth of machine connectivity, such as Internet-of-Things (IoT). This prompted to question what comes after 5G. The obvious answer is sixth-generation (6G), however, substance 6G still very much undefined, leaving imagination terms...

Wireless communications refer to data transmissions in unguided propagation media through the use of wireless carriers such as radio frequency (RF) and visible light (VL) waves. The rising demand for high rates, especially, indoor scenarios, overloads conventional RF technologies. Therefore, technologies millimeter waves (mmWave) cognitive radios have been adopted possible solutions overcome spectrum scarcity capacity limitations systems. In parallel, communication (VLC) has proposed an...

<p>In the rapidly evolving landscape of natural language processing (NLP), ChatGPT has emerged as a powerful tool for various industries and applications. To fully harness potential ChatGPT, it is crucial to understand master art prompt engineering-the process designing refining input prompts elicit desired responses from an AI NLP model. This article provides comprehensive guide mastering engineering techniques, tips, best practices achieve optimal outcomes with ChatGPT. The...

<p>In the rapidly evolving landscape of natural language processing (NLP), ChatGPT has emerged as a powerful tool for various industries and applications. To fully harness potential ChatGPT, it is crucial to understand master art prompt engineering-the process designing refining input prompts elicit desired responses from an AI NLP model. This article provides comprehensive guide mastering engineering techniques, tips, best practices achieve optimal outcomes with ChatGPT. The...

In the pursuit of ubiquitous broadband connectivity, there has been a significant shift towards vertical expansion communication networks into space, particularly through exploitation low Earth orbit (LEO) satellite constellations, which are favored for their relatively latency. However, this approach faces many challenges that need to be addressed, including atmospheric turbulence, high path loss, and dynamic cloud formations. High-altitude pseudo-satellites (HAPS) have emerged as promising...

The Internet of Things (IoT) is increasing in size by having more devices connected to it as they are becoming low-cost manufacture and easier connect the internet. New use cases being created need for feasibility provide it, with solutions. As a key enabler IoT, Long Range Wide Area Network (LoRaWAN) gaining great attention research industry. It provides desirable solution applications that require hundreds or thousands actively monitor process an environment assist controlling certain...

This study introduces a Block Phase Tracking Reference Signal (PTRS) allocation approach for Discrete Fourier Transform-spread-Orthogonal Frequency Division Multiplexing (DFT-s-OFDM) systems to enhance phase noise tracking and compensation. Our proposed block methodology leverages the concepts of multiresolution time-frequency tiling more effective sampling, thereby mitigating aliasing effects improving resilience. A key contribution our is novel modulation demodulation scheme, incorporating...

This paper presents a novel approach for enhancing wireless signal reception through self-adjustable metallic surfaces, termed reflectors, which are guided by deep reinforcement learning (DRL). The designed reflector system aims to improve quality multiple users in scenarios where direct line-of-sight (LOS) from the access point (AP) and is not guaranteed. Utilizing DRL techniques, autonomously modifies its configuration optimize beam allocation AP user equipment (UE), thereby maximizing...

The introduction of light emitting diodes (LED) in automotive exterior lighting systems provides opportunities to develop viable alternatives conventional communication and sensing technologies. Most the advanced driver-assist autonomous vehicle technologies are based on Radio Detection Ranging (RADAR) or Light (LiDAR) that use radio frequency laser signals, respectively. While reliable real-time information speeds is critical for traffic operations management vehicles safety, RADAR LiDAR...

This paper presents a non-contact vital signs (respiration and heartbeat) monitoring system that utilizes visible light sensing (VLS) technology. We have for the first time demonstrated ability to wirelessly (non-contact) sense using only reflected incoherent signals from human subject. The VLS-based is implemented by simple source, photodetector data acquisition/processing unit, used with developed signal processing algorithms turn slight variations in power into accurate measurements of...

Abstract We report and demonstrate for the first time a method to compensate atmospheric group velocity dispersion of terahertz pulses. In ultra-wideband or impulse radio wireless communication, atmosphere reshapes pulses via dispersion, result frequency-dependent refractivity air. Without correction, this can significantly degrade achievable data transmission rate. present compensating using cohort stratified media reflectors. Using method, we compensated in 0.2-0.3 THz channel under common...

With growing usage and demand for the global freshwater supply, there is an increasing need technologies that facilitate water conservation environmental stewardship in irrigated agriculture. Toward this end, recent demonstrations of Internet Things (IoT) sensors have revealed value wireless soil moisture content sensors. However, existing solutions often employ above-ground communication modules physically interfere with routine farming operations. Underground network are severely...

Human respiratory rate and its pattern convey essential information about the physical psychological states of subject. Abnormal breathing can indicate fatal health issues leading to further diagnosis treatment. Wireless light-wave sensing (LWS) using incoherent infrared light shows promise in safe, discreet, efficient, noninvasive human monitoring without raising privacy concerns. The respiration system needs be trained on different types patterns identify anomalies. must also validate...

In this paper, the joint spectrum sensing and resource allocation problem is investigated in a multi-band-multiuser cognitive radio (CR) network. Assuming imperfect information, our goal to jointly optimize threshold power strategy such that average total throughput of secondary users (SUs) maximized. Addition, SUs constrained keep interference introduced primary under certain limit, which gives rise nonconvex mixed integer non-linear programming (MINLP) optimization problem. Our...

In this article, we demonstrate the ability to recognize hand gestures in a noncontact wireless fashion using only incoherent light signals reflected from human subject. Fundamentally distinguished radar, lidar, and camera-based sensing systems, modality uses low-cost source (e.g., LED) sensor photodetector). The lightwave-based gesture recognition system identifies different variations intensity subject's within short (20-35 cm) range. As users perform gestures, scattered forms unique,...

Complexity is an inherent property in wireless heterogeneous networks (HetNets). In this paper, we investigate the application of agent-based modeling (ABM) tool for optimization complex and dynamic HetNets. The proposed framework contains a diversity game-theoretic, machine learning, rule-based algorithms within same model. We present analyze HetNet ABM model that runs parallel reinforcement learning (RL) spectrum deployment, interference management, resource allocation, load balancing at...

This paper investigates the performance of an orthogonal frequency-division multiplexing (OFDM)-based cognitive radio (CR) spectrum sharing communication system that assumes random allocation and absence primary user's (PU) channel occupation information, i.e., no sensing is employed to acquire information about availability unused subcarriers. In case a single secondary user (SU) in network, due lack PUs' activities, SU randomly allocates subcarriers network collide with certain...

We present the issue of monetarily incentivized forwarding in a multi-hop mesh network architecture from an economic perspective. It is anticipated that credit-incentivized and relaying will be simple method exchanging transmission power spectrum for connectivity. However, gateways nodes, like any other free market, may create oligopolistic market users they serve. In this study, coalition scheme between buyers aims to address price control by or nodes closer gateways. Stackelberg...

In this paper, off-body ultra-wide band (UWB) channel characterization and modeling are presented between an unmanned aerial vehicle (UAV) a human subject. The wearable antenna was patched at nine different body locations on subject during the experiment campaign. prime objective of work to study evaluate distance frequency dependent path loss factors for bandwidths corresponding various carrier frequencies, also look into time dispersion properties such vehicle-to-wearables (UAV2W) system....

In this article, millimeter-wave (mmWave) wireless channel characteristics (Doppler spread and path loss modeling) for unmanned aerial vehicle (UAV)-assisted communication is analyzed studied by emulating the real UAV motion using a robotic arm. The considers actual turbulence caused wind gusts to in atmosphere, which statistically modeled widely used Dryden model. frequency under consideration 28 GHz an anechoic chamber setting. A total of 11 distance points from 3.5 23.5 ft increments 2...

Cognitive radio with spectrum sharing feature is a promising technique to address the under-utilization problem in dynamically changing environments. In this paper, achievable capacity gain of systems over dynamic fading environments studied. For analysis, theoretical model called hyper that suitable nature cognitive channel proposed. Closed-form expression probability density function (PDF) and cumulative (CDF) signal-to-noise ratio (SNR) for secondary users are derived. addition, gains...