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Joint cooperative caching and power control for UAV-assisted internet of vehicles
by
Liu, Yang
, Dai, Yusheng
, Wang, Weiguang
, He, Yixin
in
639/166
/ 639/166/987
/ Energy efficiency
/ Energy utilization
/ Humanities and Social Sciences
/ multidisciplinary
/ Optimization
/ Science
/ Science (multidisciplinary)
/ Unmanned aerial vehicles
2024
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Joint cooperative caching and power control for UAV-assisted internet of vehicles
by
Liu, Yang
, Dai, Yusheng
, Wang, Weiguang
, He, Yixin
in
639/166
/ 639/166/987
/ Energy efficiency
/ Energy utilization
/ Humanities and Social Sciences
/ multidisciplinary
/ Optimization
/ Science
/ Science (multidisciplinary)
/ Unmanned aerial vehicles
2024
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Do you wish to request the book?
Joint cooperative caching and power control for UAV-assisted internet of vehicles
by
Liu, Yang
, Dai, Yusheng
, Wang, Weiguang
, He, Yixin
in
639/166
/ 639/166/987
/ Energy efficiency
/ Energy utilization
/ Humanities and Social Sciences
/ multidisciplinary
/ Optimization
/ Science
/ Science (multidisciplinary)
/ Unmanned aerial vehicles
2024
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Joint cooperative caching and power control for UAV-assisted internet of vehicles
Journal Article
Joint cooperative caching and power control for UAV-assisted internet of vehicles
2024
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Overview
In view of the current problems of spectrum resource scarcity, return congestion, and insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of Vehicles (IoV), this paper investigates the cooperative caching and power control, and proposes a joint optimization method to improve the overall Energy Efficiency (EE) . In this method, we first propose a communication establishment threshold to control the V2V communication distance and serve as a joint optimization factor. Then we derive the closed form expressions of offloading ratio and EE of the UAV-assisted IoV, and formulate the optimization problem of maximizing EE. Due to the coupling relationship between caching strategy and transmission power, it is difficult for us to directly solve the optimization problem. Furthermore, we propose an alternating optimization algorithm for solving the optimization problem. Finally, the experimental simulation compare the propose joint optimization method with other existing optimization methods, and the simulation results prove the effectiveness and superiority of the propose joint optimization method.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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