不确定条件下无人机无线网络中的分布式协作：贝叶斯联盟博弈
Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game
摘要：
我们研究了基于无人机的无线网络中的资源共享问题。我们考虑一个分布式控制设置下的不确定性（即不提供全部信息）。特别地，无人机合作为用户服务，同时在没有关于不同系统特性（诸如其他无人机处的可用功率量）的先验知识的情况下汇集它们的频谱和能量资源。我们将上述问题视为贝叶斯合作博弈，其中代理（无人机）参与联盟形成过程，目标是最大化网络的整体传输速率。无人机使用一种新技术更新它们的信念，该技术将最大似然估计与Kullback-Leibler发散相结合。我们提出了一个决策策略，反复联盟形成，收敛到一个稳定的联盟结构。我们分析了所提出的方法的性能，理论分析和模拟。
英文摘要：
We study the resource sharing problem in a drone-based wireless network. We consider a distributed control setting under uncertainty (i.e. unavailability of full information). In particular, the drones cooperate in serving the users while pooling their spectrum and energy resources in the absence of prior knowledge about different system characteristics such as the amount of available power at the other drones. We cast the aforementioned problem as a Bayesian cooperative game in which the agents (drones) engage in a coalition formation process, where the goal is to maximize the overall transmission rate of the network. The drones update their beliefs using a novel technique that combines the maximum likelihood estimation with Kullback-Leibler divergence. We propose a decision-making strategy for repeated coalition formation that converges to a stable coalition structure. We analyze the performance of the proposed approach by both theoretical analysis and simulations.
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