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Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
[article]
2020
arXiv
pre-print
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Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments. ...
In the AI-enabled UAV-aided wireless networks (UAWN), multiple UAVs are employed as aerial base stations, which are capable of rapidly adapting to the dynamic environment by collecting information about ...
In [14] , the joint caching management and resource allocation problem is studied for a cache-enabled UAV network in which the UAVs can service users using both the LTE unlicensed (LTE-U) and licensed ...
arXiv:2001.11958v1
fatcat:i35weka7wndghp3folyzsd4mi4
Ready Player One: UAV Clustering based Multi-Task Offloading for Vehicular VR/AR Gaming
[article]
2019
arXiv
pre-print
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With rapid development of unmanned aerial vehicle (UAV) technology, application of the UAVs for task offloading has received increasing interest in the academia. ...
To tackle this problem, in this article, we propose a new architecture for UAV clustering to enable efficient multi-modal multi-task task offloading. ...
However, the UAV-aided MEC networks may fail to meet the users' required quality of experience in several key scenes. ...
arXiv:1904.03861v1
fatcat:robkqzggufge7ixrlqxkbyoqnq
When Machine Learning Meets Big Data: A Wireless Communication Perspective
[article]
2019
arXiv
pre-print
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Machine learning, as one of the most promising artificial intelligence tools of analyzing the deluge of data, has been invoked in many research areas both in academia and industry. ...
(BSs) according to the specific tele-traffic requirements by gleaning valuable data from social networks. 2) To predict the content caching requirements of BSs according to the users' preferences by mining ...
In this section, we will consider a pair of intelligent applications for demonstrating how to apply our big data aided machine learning framework for fostering intelligent wireless networks. ...
arXiv:1901.08329v2
fatcat:ovyoa24zhvcyrftozsdkp6c3xq
UAVs as a Service: Boosting Edge Intelligence for Air-Ground Integrated Networks
[article]
2020
arXiv
pre-print
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We envision that the proposed UaaS architecture could intelligently provision wireless communication service, edge computing service, and edge caching service by a network of UAVs, making full use of UAVs ...
To meet this need, in this article, we propose a novel architecture called UaaS (UAVs as a Service) for the air-ground integrated network, featuring UAV as a key enabler to boost edge intelligence with ...
To intelligentize the UAV-enabled content cache provider, we adopt the following measures step by step. ...
arXiv:2003.10737v1
fatcat:ktpm7sf6jfbmvcqiu5uxtwjjl4
WCNC 2020 Subject Index Page
2020
2020 IEEE Wireless Communications and Networking Conference (WCNC)
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Smart
and Reconfigurable
Environment:
Intelligent Reflecting
Surface Aided Wireless
Networks
TUT3: Machine
Learning for Future
Wireless Networks
TUT5: Moving
Towards Zero-
Touch
Automation ...
Computing and
Caching at the
Edge
FWS7: ICA
(Intelligent IoT
Connectivity,
Automation and
Applications)
FWS8: NexGen RAN
(Open-RAN: Open
Road to Next
Generation Mobile
Networks)
FWS9: ...
doi:10.1109/wcnc45663.2020.9120573
fatcat:6k3gajd2xfex5bk2wt6cmiitsa
Table of contents
2021
IEEE Journal on Selected Areas in Communications
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Han 3035 Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks ... X. Mu, Y. Liu, L. Guo, J. Lin, and H. V. ...
Cao 3225 Upcoming Issues of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS Topic UAV Communications in 5G and Beyond Networks-Part II Distributed Learning Over Wireless Edge Networks (Contents Continued ...
doi:10.1109/jsac.2021.3106552
fatcat:nq3cuen26rghxp4kei6e4cmu2a
2021 Index IEEE Transactions on Wireless Communications Vol. 20
2021
IEEE Transactions on Wireless Communications
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, TWC Oct. 2021 6634-6647 UAV-Aided Data Collection for Information Freshness in Wireless Sensor Networks. ...
doi:10.1109/twc.2021.3135649
fatcat:bgd3vzb7pbee7jp75dnbucihmq
Table of contents
2021
IEEE transactions on intelligent transportation systems (Print)
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Otaibi Assisted Content Delivery in Intelligent Transportation Systems-Joint Trajectory Planning and Cache Management ......................................... A. Al-Hilo, M. Samir, C. Assi, S. ...
Santone UAV Enabled Content Distribution for Internet of Connected Vehicles in 5G Heterogeneous Networks ................ ............................................................................... ...
doi:10.1109/tits.2021.3099101
fatcat:zjcg2faujrhfjijnelxjmwhbxe
Table of contents
2021
IEEE Transactions on Wireless Communications
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Chao Fang, Behrooz Makki, Jingya Li, and Tommy Svensson Resource Allocation for Intelligent Reflecting Surface Aided Wireless Powered Mobile Edge Computing in OFDM Systems ........ ...
Hao Jiang, Baiping Xiong, Zaichen Zhang, Jiangfan Zhang, Hongming Zhang, Jian Dang, and Liang Wu Active Reconfigurable Intelligent Surface-Aided Wireless Communications ................................ ...
doi:10.1109/twc.2021.3094369
fatcat:5vtsl4bynjeczccctefkwlzoiq
Table of contents
2021
IEEE Transactions on Communications
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Nguyen 3911 A UAV-Enabled Data Dissemination Protocol With Proactive Caching and File Sharing in V2X Networks ........... ........................................................................... ...
Yang 3930 Ruin Theory for Energy-Efficient Resource Allocation in UAV-Assisted Cellular Networks .............................. ............................ A. Manzoor, K. Kim, S. R. Pandey, S. M. A. ...
doi:10.1109/tcomm.2021.3082738
fatcat:3qnq6lfgijgh7ofj22bkinwuua
Table of contents
2021
IEEE Transactions on Communications
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Networks Data-Supported Caching Policy Optimization for Wireless D2D Caching Networks ....................................... ...
Nguyen 7406 Machine Learning and Communications Machine Learning for User Partitioning and Phase Shifters Design in RIS-Aided NOMA Networks ................... ......................................... ...
doi:10.1109/tcomm.2021.3124568
fatcat:5ykix4sr4nct7muer7p74n4puq
Table of contents
2021
IEEE Transactions on Communications
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Hossain 2331 Multi-User Communications Joint 3D Trajectory and Power Optimization for UAV-Aided mmWave MIMO-NOMA Networks ....................... ...................................... ...
Communication Theory Energy-Efficient Task Offloading in Massive MIMO-Aided Multi-Pair Fog-Computing Networks ....................... ................................................................... ...
doi:10.1109/tcomm.2021.3069652
fatcat:4yjofgm2wbaf5ed5bxtrnfxyja
Guest Editorial: Artificial Intelligence Empowered Future Connection
2021
IEEE Network
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His research interests include QoS, wireless networks and high-speed networks. ...
paScal lorenz received the M.Sc. and Ph.D. degrees from the University of Nancy, Nancy, France, in 1990 and 1994, respectively. ...
It could intelligently
provision wireless communication/edge computing/edge cach-
ing services by a network of UAVs. ...
doi:10.1109/mnet.2021.9520340
fatcat:lvbotwdtd5aepf2c4a6e55sau4
A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks
2022
IEEE Access
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In this survey, reinforcement learning-aided mobile edge caching solutions are presented and classified, based on the networking architecture and optimization target. ...
INDEX TERMS 6G, edge caching, heterogeneous networks, machine learning, mobile edge networks, reinforcement learning. ...
UAV-AIDED NETWORKS UAVs will play a vital role in 6G wireless networks. ...
doi:10.1109/access.2022.3140719
fatcat:565r4jxrinfxtpgvuc5xfvxmle
A Survey on Cache-Aided NOMA for 6G Networks
[article]
2022
arXiv
pre-print
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In this survey, we focus on cache-aided NOMA-based wireless networks which can reap the benefits of both cache and NOMA; switching to NOMA from OMA enables cache-aided networks to push additional files ...
On the other hand, content caching restricts duplicate data transmission by storing popular contents in advance at the network edge which reduces 6G data traffic. ...
The resource allocation in UAV with cache-aided NOMA system has been studied in [173] - [176] . ...
arXiv:2205.05321v1
fatcat:zdsvoxspdfgzvpbxelbuqp2cnq
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