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Artificial Intelligence Aided Next-Generation Networks Relying on UAVs [article]

Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo
2020 arXiv   pre-print
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]

Long Hu, Yuanwen Tian, Jun Yang, Tarik Taleb, Lin Xiang, Yixue Hao
2019 arXiv   pre-print
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]

Yuanwei Liu, Suzhi Bi, Zhiyuan Shi, Lajos Hanzo
2019 arXiv   pre-print
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]

Chao Dong, Yun Shen, Yuben Qu, Qihui Wu, Fan Wu, Guihai Chen
2020 arXiv   pre-print
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)  
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  
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  
-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)  
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  
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  
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  
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  
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

Song Guo, Haipeng Yao, Manqing Wu, Sherman Shen, Yuanyuan Yang, Pascal Lorenz
2021 IEEE Network  
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

Nikolaos Nomikos, Spyros Zoupanos, Themistoklis Charalambous, Ioannis Krikidis
2022 IEEE Access  
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]

Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, Arumugam Nallanathan
2022 arXiv   pre-print
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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