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多无人机网络中信息隐蔽传输保证的频谱资源分配方法

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针对多无人机网络中信息隐蔽传输的频谱分配问题,构建了多无人机网络隐蔽传输中继选择、频谱分配和块长度分配多维度优化模型,将无人机的中继选择问题转化为无人机联盟选择问题,以最大化多无人机网络中信息传输满意度为目标,提出了一种联合无人机联盟选择和频谱资源分配的优化方法.由于无人机联盟选择、频谱分配和块长度分配的联合优化是一个复杂的NP问题和非凸问题,利用降维处理方式将问题划分为两个子问题,一是无人机的中继选择,二是无人机的带宽分配和块长度分配.通过构建联盟形成博弈来优化无人机联盟选择,同时优化无人机的频谱分配和块长度分配.所提博弈被证明是个精确势能博弈(Exact Potential Game,EPG),即,所提博弈至少存在一个纯策略纳什均衡.考虑到对频谱分配和块长度分配联合优化也是一个复杂的NP问题和非凸问题,通过块坐标下降法将联合优化问题分解为带宽分配和块长度分配两个子问题迭代优化,采用粒子群优化算法求解上述两个子问题.仿真结果表明,所提联合优化方法可以有效提高多无人机网络信息传输的满意度,同时使得无人机可以隐蔽地将信息传输到地面控制站.
Spectrum Resource Allocation Method for Covert Transmission of Reconnaissance Information from Multi-UAV
Aiming at spectrum allocation problem of covert information transmission in multiple unmanned aerial vehicles(UAVs)networks,a multi-dimension optimization model in multi-UAV networks covert transmission is constructed for relay selection,spectrum allocation,and block length allocation.The UAV relay selection problem is transformed into a UAV coalition selection problem,and a joint optimiza-tion method for UAV coalition selection and spectrum resources allocation is proposed to maximize infor-mation transmission satisfaction in multi-UAV networks.Due to the fact that the joint optimization of drone alliance selection,spectrum allocation,and block length allocation is a complex NP problem and non-convex problem,we use dimension reduction to divide the problem into two sub-problems:the relay selection of UAVs and the bandwidth allocation and block length allocation of UAVs.The spectrum allo-cation and block length allocation for UAVs are being optimized simultaneously when we optimizing the coalitions selection of UAV by forming a coalition formation game.It is proven that the proposed game is an exact potential game(EPG),that is.,there exists at least one pure strategy Nash equilibrium for the proposed game.Considering that jointly optimizing spectrum allocation and block length allocation is also a complex NP-hard and non-convex problem,we decompose the joint optimization problem into two sub-problems of bandwidth allocation and block length allocation using block coordinate descent method,and optimize these two subproblems using particle swarm optimization algorithm iteratively.The simulation re-sults show that the proposed joint optimization method can effectively improve the satisfaction of informa-tion transmission of multi-UAV networks,while enabling the UAVs to covertly transmit information to the ground control station.

multi-UAVinformation transmissioncovert transmissionspectrum allocationjoint optimiza-tion methodcoalition formation game

吴义政、钱鹏智、杜奕航、张余

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国防科技大学第六十三研究所,江苏南京 210007

多无人机 信息传输 安全传输 频谱资源分配 联合优化算法 联盟形成博弈

国防科技大学科研项目

ZK21-47

2024

中国电子科学研究院学报
中国电子科学研究院

中国电子科学研究院学报

影响因子:0.663
ISSN:1673-5692
年,卷(期):2024.19(2)
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