A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A Unified Spatial Framework for UAV-aided MmWave Networks
[article]
2019
arXiv
pre-print
Preserved Fulltext
Other Versions
More specifically, the locations of transceivers in downlink and uplink are modeled through the Poisson point processes and Poisson cluster processes (PCPs), respectively. ...
For unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) networks, we propose a unified three-dimensional (3D) spatial framework in this paper to model a general case that uncovered users send ...
[16] investigated the average coverage probability and throughput in a UAV-aided network with underlaid D2D communications, where the D2D users were modeled as a homogeneous PPP and the downlink users ...
arXiv:1901.01432v2
fatcat:jge67tnahjcknbka7zd6obkczm
Aerial Coverage Analysis of Cellular Systems at LTE and mmWave Frequencies Using 3D City Models
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Using a realistic 3D simulator model, with real base station locations, this study confirms that UAVs at high altitudes suffer from significant interference, resulting in a worse coverage compared to ground ...
When replacing the existing base stations by mmWave cells, our results indicate that ground coverage is decreased to only 90%, while UAVs just above rooftop level have a coverage probability of 100%. ...
We can expect that the research community will concentrate its future work at mmWave and beamforming techniques when exploring ways to provide coverage for high-altitude UAVs. ...
doi:10.3390/s18124311
fatcat:32q4qraq5zc2vgnimmnc6xj4sy
Modeling Ground-to-Air Path Loss for Millimeter Wave UAV Networks
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Path loss is a significant component of wireless communication channel design and analysis and reflects the reduction in a transmitted signal's power density. ...
A mathematical propagation model is proposed in this paper to estimate the Ground-to-Air path loss between a wireless device and a low-altitude platform using the frequency bands of the millimeter wave ...
Deploying mmWave communications with UAV networks has two major advantages. 1) The large range of mmWave is capable of greatly enhancing the capacity of UAV networks, thereby meeting the requirement for ...
arXiv:2101.12024v1
fatcat:5ofkpzhgqvbhbhdxfft7lg22yy
Coverage Analysis for Energy-Harvesting UAV-assisted mmWave Cellular Networks
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Distinguishing features of mmWave communications, such as different path loss models for line-of-sight (LOS) and non-LOS (NLOS) links and directional transmissions are taken into account. ...
In the downlink phase, the association probability, and energy coverages of different tier UAVs and ground base stations (GBSs) are investigated. ...
[32] proposed a unified 3D spatial framework to evaluate the average performance of UAV-aided networks with mmWave communications. ...
arXiv:1910.10230v1
fatcat:zx7navj7yzbmxlouujt4je4weu
Intelligent Reflective Surface Deployment in 6G: A Comprehensive Survey
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2022 pre-print arXiv:2204.01152v1 fatcat:sjy7hkp3bbcsxos7rfijggwbkm
Furthermore, we survey model-free reinforcement learning (RL) techniques from the deployment aspect to address the challenges of achieving higher capacity in complex and mobile IRS-assisted UAV wireless ...
However, the deployment of IRSs still faces challenges due to highly dynamic and mobile unmanned aerial vehicle (UAV) enabled wireless environments to achieve higher capacity. ...
and downlink communication via UAVs [14] . ...
arXiv:2204.01152v2
fatcat:ddr4tx3bkvagljba3ym75bwgwu
SINR Coverage Enhancement of 6G UAV-Assisted Networks Deploying IRS
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Therefore, the work analyzed and compared the coverage probability of conventional and IRS-assisted UAV communications models. ...
Moreover, the installment of IRS in UAV networks reduces the energy consumption of the network. ...
The work compares the performance of an IRS-empowered UAV-assisted communication model with a conventional UAVaided model considering 2 GHz and millimeter wave (mmWave) carriers varying the network parameters ...
arXiv:2212.01657v1
fatcat:3efjgftm4fao3jc6yuwo6srmtq
5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
However, deployment of cellular-connected drones over commercial LTE/5G networks still presents various challenges such as sparse coverage outside urban areas, and interference caused to the network as ...
Commercial 5G networks can offer various features for aerial user equipment (UE) far beyond what LTE could provide by taking advantage of mmWave, flexible numerology, slicing, and the capability of applying ...
[16] , where they performed flight tests to find a mathematical model for path loss of radio communication among multiple UAVs. ...
arXiv:2307.00959v1
fatcat:axiqx2mwjnb45hg4ki627wxk5u
Table of contents
2020
IEEE Transactions on Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry ...... .......................................................... N. Okati, T. Riihonen, D. ...
Yao, and S. Jin 4919 Deployment Model and Performance Analysis of Clustered D2D Caching Networks Under Cluster-Centric Caching Strategy .............................................. Z. Ma, N. ...
doi:10.1109/tcomm.2020.3012243
fatcat:gsfh4gdw7bhm3p3c2u7vg5iac4
A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
INDEX TERMS Millimeter wave (mmWave) communications, unmanned aerial vehicle (UAV), mmWave UAV communications, UAV-assisted wireless networks, 5G and beyond. ...
The deployment of UAVs has been regarded as an alternative complement of existing cellular systems, to achieve higher transmission efficiency with enhanced coverage and capacity. ...
mmWave beam due to the partial coverage of user region by downlink beam. ...
doi:10.1109/access.2019.2929241
fatcat:kwjjpcyhlrcwtjm4j5pn5ip5ta
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
On the other hand, UAVs serving as aerial access points or relays can significantly enhance the coverage and quality of service of the terrestrial mmWave cellular networks. ...
The technical potential of and challenges for mmWave-UAV communications are presented first. Then, we provide an overview on relevant mmWave antenna structures and channel modeling. ...
Accurate A2G and A2A channel models facilitate the performance analysis of UAV-enabled wireless communications in terms of capacity and coverage [102] , [103] . ...
arXiv:2104.09204v2
fatcat:rbywt5p7uzhhzg3hbc7tnln45q
Downlink Performance Analysis in MIMO UAV-Cellular Communication With LOS/NLOS Propagation Under 3D Beamforming
2022
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
We incorporate the airto-ground (A2G), and two-piece path loss model that undergoes millimeter wave (mmWave) channel fading in both line-of-site (LOS) and non-line-of-site (NLOS). ...
Integrating unmanned aerial vehicles (UAVs) as the base station is a recent progress and a promising solution to assist cellular networks to improve coverage. ...
Recently, authors in [12] analyzed the downlink coverage probability of UAV assisted mmWave network, where user equipments (UEs) were clustered around the projections of UAVs. ...
doi:10.1109/access.2022.3142529
fatcat:hiz2g7oyi5hvxjfk5s7on3ovjy
Autonomous Driving From the Sky: Design and End-to-End Performance Evaluation
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This can be challenging to handle with bandwidth-constrained communication systems, which calls for the adoption of new wireless technologies, like in the mmwave bands, to solve capacity issues. ...
of the communication process. ...
As part of our future work, we will combine the communication network model with an energy model that profiles the computational complexity of the object detection task on the UAV, BS, and ground vehicles ...
arXiv:2205.12203v1
fatcat:zm7wrylwqbeuvjavlfje2woupu
2019 Index IEEE Wireless Communications Letters Vol. 8
2019
IEEE Wireless Communications Letters
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., +, LWC Dec. 2019 1555-1558 Coverage and Rate Analysis in Downlink L-Tier HetNets With Fluctuating Beckmann Fading. ...
Guo, H., +, LWC Aug. 2019 1191-1194 Coverage and Rate Analysis in Downlink L-Tier HetNets With Fluctuating Beckmann Fading. ...
doi:10.1109/lwc.2019.2961756
fatcat:bwxehcl4ejew7a6m66prb6s4z4
Dynamic Model for Network Selection in Next Generation HetNets with Memory-affecting Rational Users
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Recently, due to the staggering growth of wireless data traffic, heterogeneous networks have drawn tremendous attention due to the capabilities of enhancing the capacity/coverage and to save energy consumption ...
Specifically, we model and study the interaction among the users in the framework of fractional evolutionary game based on the classical evolutionary game theory and the concept of the power-law memory ...
A heterogeneous network (HetNet) is a wireless network consisting of nodes with different transmission powers and coverage sizes [3] . ...
arXiv:1911.07628v1
fatcat:aawb3bh25nbwzpdvudwfpddn4i
Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
2020
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
of the average data rate and the achievable line-of-sight probability of downlink mmWave communications. ...
proposed to learn the propagation environment of mmWave communications, and, then, optimize the location of the UAV-IR so as to maximize the long-term downlink communication capacity. ...
The authors in [4] investigated the IR-aided mmWave communications, with a deep reinforcement learning (RL) framework, to improve the coverage and increase the data rate in an indoor network. ...
doi:10.1109/globecom42002.2020.9348040
fatcat:li3vggynu5gavgiyaz3lioq4hi
« Previous
Showing results 1 — 15 out of 723 results