Unlike center users, edge users are unable to achieve reliable data transmission due severe path loss, and the resulting frequent retransmissions not only bring additional energy consumption but also lead unacceptable latency. To performance requirements of ultra-reliable low latency communication (URLLC), we propose an unmanned aerial vehicle (UAV)-aided URLLC scheme for in which age information (AoI) is utilized as indicator system Inspired by pylon turn gunboat aircraft, same flight...

Wireless ad-hoc networks play a significant role in environments without fixed infrastructure, especially military and emergency situations. Due to the openness wide coverage of wireless channel, it is necessary establish secure transmission mechanism against potential eavesdroppers. Traditional schemes almost rely on single path physical layer security techniques which may not provide enough secrecy when eavesdroppers are widely distributed. To address this, this paper, we propose multipath...

Cognitive radio sensor networks are one of the kinds application where cognitive techniques can be adopted and have many potential applications, challenges future research trends. According to surveys, dynamic spectrum access is an important necessary technology for networks. Traditional methods based on holes they some drawbacks, such as low accessibility high interruptibility, which negatively affect transmission performance To address this problem, in paper a new initialization mechanism...

In the Internet of Things (IoT), numerous IoT devices are deployed for environment sensing, information collecting, and data transmitting to enable different operations, including patrol monitor, industrial automation, system control. Considering limited power computation capability devices, mobile-edge computing (MEC) is applied enhance usage IoT. Since unmanned aerial vehicles (UAVs) can be used as MEC servers, they become an efficient means collect packets assist computation. this...

Efficient and intelligent environment awareness is one of the key aspects for enabling future green networks, especially wireless ad hoc networks considering limited resources, while poor may lead to unbearable data transmission delay based on terrible routing strategies, which unacceptable in some networks. However, sensing communication performance are tightly coupled with each other physical reality. Therefore, traditional separate analyses cannot meet low-latency energy-efficient demand...

As an evolving successor to the mobile Internet, extended reality (XR) devices can generate a fully digital immersive environment similar real world, integrating virtual and real-world elements. However, in addition difficulties encountered traditional communications, there emerge range of new challenges such as ultra-massive access, real-time synchronization well unprecedented amount multi-modal data transmission processing. To address these challenges, semantic communications might be...

Recently, the Internet of Vehicles (IoV) has been employed as an enabling technology for smart transportation, which can be further enhanced by integrating space–air–ground-integrated networks (SAGIN). Since data packets vehicular user equipments (VUEs) are generally short, random access is usually considered VUEs to connect network. However, collisions caused multiple initiating simultaneously inevitable. To relieve performance degradation collisions, aggregation carried out in IoV, where...

The continuously increasing number of connected smart devices has led to the emergence a crucial fault detection challenge Internet Things (IoT). In this study, we aim identify method for effective faults in IoT devices. An network model is first established, and data edge verification mechanism based on blockchain proposed; used ensure that cannot be tampered with, their accuracy verified using edge. Finally, set weighted random forest particle swarm optimization proposed. simulation...

With a substantial fraction of renewable energy integrated into the electrical grid, new power system urgently requires grid planning scheme displaying adaptability to different types and their volatility. Considering indeterminacy generation output attitudes decision-makers towards its risk, this paper proposes an assessment methodology for schemes considering multiple decision psychology. First, evaluation indicator framework is established based on adaptive requirements novel system,...

In the 5th generation (5G) networks, coordinated multiple point (CoMP) is one of key technologies to improve quality service (QoS) edge users. To meet requirement growing data rates, millimeter-wave (mmWave) can be employed in CoMP system. However, QoS users may degraded if line-of-sight (LoS) mmWave channels are not guaranteed. this article, an unmanned aerial vehicle (UAV)-aided communication scheme proposed enhance users, where UAV helps a primary base station (BS) and BS simultaneously....

To meet the requirements of ubiquitous connectivity, sixth-generation is expected to support higher frequencies such as millimeter waves and terahertz, well high-mobility scenarios like unmanned aerial vehicles vehicular networks. However, communication under these conditions may suffer from beam misalignment due high mobility, especially in high-frequency channels with narrow characteristics. Integrated sensing communications (ISAC) enable hardware spectrum resource sharing between radar...

<abstract> <p>With the popularization of portable smart devices, advance in ubiquitous connectivity and Internet Things (IoT), mobile crowdsensing is becoming one promising applications to acquire information physical world edge computing widely used Smart Cities. However, most existing models are based on centralized platforms, which have some problems reality. Data storage overly dependent third-party platforms leading single-point failures. Besides, trust issues seriously...

Antibacterial activities and cytotoxicity of metal oxide nanoparticles are determined by their special band structures, which also influence potential ecological risks. Traditional experimental determination the gap is time-consuming, while accuracy theoretical computation depends on selected algorithm, for higher precision algorithms, being more expensive, can give a accurate gap. Therefore, in this study, quantitative structure-property relationship (QSPR) model, highlighting crystalline...

We propose a hidden feature extraction learning method for RNN equalization to improve training efficiency without increasing computational burden. Superior BER is demonstrated in 288 Gb/s 100 m VCSEL-MMF interconnect compared with black-box strategy.

With the advancement of technology, intelligent unmanned aerial vehicle swarms (UAV-S) are playing an increasingly significant role across various industries, and sensing is one their key capabilities that enable UAV-S to operate more effectively in complex dynamic surroundings. However, due payload constraints, UAVs often face limitations number weight sensors they can carry. Integrated communications (ISAC) aims achieve hardware spectrum sharing between radar wireless communication. This...

As deep learning has produced dramatic breakthroughs in many areas, it motivated emerging studies on the combination between neural networks and cache replacement algorithms. However, is a poor fit for performing hardware implementation because its network models are impractically large slow. Many have tried to use guidance of Belady algorithm speed up prediction replacement. But still impractical accurately predict characteristics future access addresses, introducing inaccuracy...