首页|Demand Learning and Cooperative Deployment of UAV Networks

Demand Learning and Cooperative Deployment of UAV Networks

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Unmanned aerial vehicle(UAV)as a powerful tool has found its applicability in assisting mo-bile users to deal with computation-intensive and delay-sensitive applications(e.g.,edge computing,high-speed Internet access,and local caching).However,deployment of UAV-aided mobile services(UMS)faces challenges due to the UAV limitation in wireless coverage and energy storage.Aware of such physical limitations,a future UMS system should be intelligent enough to self-plan trajector-ies and best offer computational capabilities to mobile users.There are important issues regarding the UAV-user interaction,UAV-UAV cooperation for sustainable ser-vice provision,and dynamic UMS pricing.These network-ing and resource management issues are largely over-looked in the literature and this article presents intelli-gent solutions for cooperative UMS deployment and oper-ation.Mobile users'locations are generally private in-formation and changing over time.How to learn on-de-mand users'truthful location reporting is important for determining optimal UAV deployment in serving all the users fairly.After addressing the truthful UAV-user inter-action issue via game theory,we further study the UAV network sustainability for UMS provision by minimizing the energy consumption cost during deployment and seek-ing UAV-UAV cooperation.Finally,for profit-maximiz-ing purpose,we analyze the cooperative UAVs'deploy-ment,capacity allocation,and dynamic service pricing.

Unmanned aerial vehicle networksWireless coverageDynamic pricingCapacity allocation

ZHANG Xiao、WANG Xuehe、XU Xinping、ZHAO Yingchao

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South-Central University for Nationalities,Wuhan 430074,China

Caritas Institute of Higher Education,Hong Kong,China

Sun Yat-sen University&Guangdong Key Laboratory of Big Data Analysis and Processing,Guangzhou 510275,China

Nanyang Technological University,Singapore 639798,Singapore

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国家自然科学基金Hubei Provincial Natural Science Foundation of ChinaResearch Start-up Funds of South-Central University for NationalitiesInstitutional Strategic Grant of Caritas Institute of Higher Education,HK,China

619024372020CFB629YZZ18006ISG210101

2022

电子学报(英文)

电子学报(英文)

CSTPCDSCIEI
ISSN:1022-4653
年,卷(期):2022.31(3)
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