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Multi-agent reinforcement learning for edge information sharing in vehicular networks 被引量:3
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作者 Ruyan Wang Xue Jiang +5 位作者 Yujie Zhou Zhidu Li Dapeng Wu Tong Tang Alexander Fedotov Vladimir Badenko 《Digital Communications and Networks》 SCIE CSCD 2022年第3期267-277,共11页
To guarantee the heterogeneous delay requirements of the diverse vehicular services,it is necessary to design a full cooperative policy for both Vehicle to Infrastructure(V2I)and Vehicle to Vehicle(V2V)links.This pape... To guarantee the heterogeneous delay requirements of the diverse vehicular services,it is necessary to design a full cooperative policy for both Vehicle to Infrastructure(V2I)and Vehicle to Vehicle(V2V)links.This paper investigates the reduction of the delay in edge information sharing for V2V links while satisfying the delay requirements of the V2I links.Specifically,a mean delay minimization problem and a maximum individual delay minimization problem are formulated to improve the global network performance and ensure the fairness of a single user,respectively.A multi-agent reinforcement learning framework is designed to solve these two problems,where a new reward function is proposed to evaluate the utilities of the two optimization objectives in a unified framework.Thereafter,a proximal policy optimization approach is proposed to enable each V2V user to learn its policy using the shared global network reward.The effectiveness of the proposed approach is finally validated by comparing the obtained results with those of the other baseline approaches through extensive simulation experiments. 展开更多
关键词 Vehicular networks Edge information sharing Delay guarantee Multi-agent reinforcement learning Proximal policy optimization
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Novel nickel–cobalt phosphite with face-sharing octahedra derived electrocatalyst for efficient water splitting
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作者 Jian Wu Lingling Lin +2 位作者 Francois J.Morvan Juan Du Weibin Fan 《Inorganic Chemistry Frontiers》 2019年第8期2014-2023,共10页
The local electronic structure of a transition metal can be adjusted by changing the metal octahedral linking mode in order to control its electrocatalytic activity.Perovskite(corner-sharing octahedra)and layered hydr... The local electronic structure of a transition metal can be adjusted by changing the metal octahedral linking mode in order to control its electrocatalytic activity.Perovskite(corner-sharing octahedra)and layered hydroxide(edge-sharing octahedra)structures have previously been studied as OER electrocatalysts.However,catalysts with face-sharing octahedra have still rarely been studied to date.In this work,a nickel–cobalt phosphite including local structural motifs with face-sharing octahedra has been studied as a model electrocatalyst for OER. 展开更多
关键词 layered hydroxide edge sharing changing metal octahedral linking mode local electronic structure face sharing octahedra nickel cobalt phosphite oer electrocatalystshowevercatalysts electrocatalytic activityperovskite corner sharing transition metal
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Pb_(2.28)Ba_(1.72)B_(10)O_(19) featuring a three-dimensional B–O anionic network with edge-sharing[BO_(4)]obtained under ambient pressure
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作者 Siru Guo Wenbin Zhang +3 位作者 Rong Yang Min Zhang Zhihua Yang Shilie Pan 《Inorganic Chemistry Frontiers》 2021年第15期3716-3722,共7页
The first borate featuring a three-dimensional B–O anionic network with edge-sharing(ES)[BO_(4)]units,Pb_(2.28)Ba_(1.72)B_(10)O_(19)(PbBaBO),has been synthesized under ambient pressure.The squeezing effect of the ^(2... The first borate featuring a three-dimensional B–O anionic network with edge-sharing(ES)[BO_(4)]units,Pb_(2.28)Ba_(1.72)B_(10)O_(19)(PbBaBO),has been synthesized under ambient pressure.The squeezing effect of the ^(2)∞[B_(10)O_(19)]bilayer structure on the intra-layer co-edge[BO_(4)]leads to an extremely long B–B distance and quite small internal O–B–O angles in the[B_(2)O_(6)]ring. 展开更多
关键词 borate squeezing effect three dimensional B O anionic network ambient pressure intra layer co edge BO b o anionic network b b distance edge sharing BO units
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