Unmanned aerial vehicle (UAV) with flexible mobility and low cost has been a promising technology for wireless communication. Thus, it can be used data collection in Internet of Things (IoT). In this article, we consider millimeter-wave (mmWave) communication on UAV platform, where the base station (UAV-BS) serves multiple ground users, which generate big sensor data. Both deployment UAV-BS beamforming design have essential impact throughput system. formulate problem to maximize achievable...

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from "connected things" intelligence", featured by ultra high density, large-scale, dynamic heterogeneity, diversified functional requirements, and machine learning capabilities, which leads a growing need for highly efficient intelligent algorithms. classic optimization-based algorithms usually require precise mathematical model of data links suffer poor performance with computational cost in realistic 6G...

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...

The demands of 5G mobile communications, such as higher throughput and lower latency in future has promoted more advanced communication technologies heterogeneous network integration. Satellite been recently considered a key part for the benefits meeting availability ubiquitous coverage requirements targeted by 5G. As potential technology, multi-satellite cooperative transmission systems have studied, they can provide high brought virtual multiple-input multiple-output structures. In this...

The ever-increasing growth in maritime activities with large amounts of Maritime Internet-of-Things (M-IoT) devices and the exploration ocean network leads to a great challenge for dealing massive amount data cost-effective energy-efficient way. However, resources-constrained users cannot meet high requirements transmission delay energy consumption, due excessive traffic limited resources networks. To solve this problem, mobile edge computing is taken as promising paradigm help from servers...

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...

The existing channel estimation methods for millimeter-wave communications, e.g., hierarchical search and compressed sensing, either acquire only one single multipath component (MPC) or require considerably high training overhead. To realize fast yet accurate estimation, we propose a decomposition recovery approach in this paper. proposed has two stages. In the first stage, instead of directly searching real MPCs, decompose each MPC into several virtual MPCs by using based on...

The unmanned aerial vehicles (UAVs) are envisioned as promising facilities for providing advanced communication services well sensing functionalities in the next-generation wireless system. This article considers a UAV-enabled integrated and communications (ISACs) system, where moving ground user (GU) is simultaneously tracked by multiple UAVs receives downlink information transmitted from UAV. In particular, to jointly enhance (S&C) performance, optimizing UAV trajectory demanded. To...

In this paper, we study beamforming based full-duplex (FD) systems in millimeter-wave (mmWave) communications. A joint transmission and reception (Tx/Rx) problem is formulated to maximize the achievable rate by mitigating self-interference (SI). Since optimal solution difficult find due non-convexity of objective function, suboptimal schemes are proposed paper. low-complexity algorithm, which iteratively maximizes signal power while suppressing SI, its convergence proven. Moreover, two...

We study the multiuser detection in a millimeter-wave (mm-wave) wireless communication system using hybrid beamformers, where uplink transmissions are considered under limited scattering. For base station, with condition that number of radio-frequency (RF) chains is relatively smaller than users, we consider opportunistic beamforming analog beams for multiple-signal and derive closed form expression sum rate. By applying minimum mean square error (MMSE)-filter proposed algorithm, performance...

As unmanned aerial vehicles (UAVs) are becoming more popular and the demand for wireless links UAVs is increasing, it crucial to develop air-to-ground (A2G) high-speed UAVs. Suffering from high mobility limitation of transmission power UAVs, A2G become unstable provide quality communication services. In this paper, we design robust speed where conjunct control developed together with switched beamforming maximize efficiency minimize fluctuation millimeter wave (mmWave) signal transmission....

The intelligent transportation has been extensively investigated as an enabling technology for ubiquitous data processing and content sharing among vehicles terrestrial infrastructures. In systems, numerous infrastructures are connected information to enable different operations. Since there some urban areas that face the traffic congestion or cannot be well served, space-air-ground integrated networks (SAGIN) can carried out provide continuous network connectivity vehicles. particular,...

In 5G massive machine-type communication (mMTC), power-limited or battery-free parasite devices such as radio frequency identification (RFID) tags, can use the transmitted signals from host ambient for backscatter communications to send information a base station (BS). Unmanned aerial vehicles (UAVs) be employed help transmissions of due advantages high mobility and low operating cost. this paper, we propose signal detection approach based on central limit theorem detect presence separate...

In this study, the authors investigate resource allocation (RA) problem for downlink orthogonal frequency division multiplexing based non-orthogonal multiple access (OFDM-NOMA) system. The RA is decomposed into two subproblems of subcarrier (SA) and power (PA). For SA, a user grouping greedy algorithm proposed under assumption that uniformly distributed among all selected users. PA, propose iterative water-filling specific rate maximising criterion with minimum constraints (iterative WF +...

In this paper, a low-complexity approach for the large-scale (underdetermined) multiple-input multiple-output (MIMO) detection is proposed using Markov chain Monte Carlo (MCMC) algorithm in conjunction with blockwise sampling. Klein's employed each sub-system to draw multidimensional samples an MCMC detector iterative and decoding (IDD). From analysis, we find that lattice reduction (LR) technique cannot improve performance of MCMC-based under low-correlated channel environment. addition,...

In the Internet of Things (IoT), numerous low complexity and energy constrained devices are employed to collect transmit data simultaneously, where unmanned aerial vehicle (UAV) is an efficient means relay signals. Considering limited power computational capability UAV, mobile edge computing (MEC) carried out enhance usage UAV-aided IoT networks. order develop robust MEC systems, transmission schemes low-latency resource allocation become crucial cope with limitation UAV delay MEC. this...

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...

Covert communication, also known as communication with low probability of detection, aims to provide reliable for legal users and prevent any other user from detecting the occurrence communication. Motivated by strong need security links next generation systems, we study covert millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) hybrid beamforming. Consistent existing studies on use Kullback-Leibler (KL) divergence total variation (TV) distance covertness measure. Under...