论文标题
成本效益和QoS感知用户协会以及6G航空移动访问点的3D放置
Cost-Efficient and QoS-Aware User Association and 3D Placement of 6G Aerial Mobile Access Points
论文作者
论文摘要
6G网络需要灵活的基础架构，以动态提供无处不在的网络覆盖范围。移动访问点（MAP）部署是一个有前途的解决方案。在本文中，我们在干扰和移动性约束下通过动态网络制定了联合3D地图部署和用户关联问题。首先，我们提出了一种迭代算法，以优化地图的部署。我们的解决方案有效，快速地确定了高度动态场景的地图的数字，位置和配置。地图在MMWave或Sub-6GHz频段中为移动地面用户提供适当的服务质量（QoS）连接，并在3D网格中找到其最佳位置。每张地图还意味着要最小化的能源成本（例如旅行）。一旦部署了所有地图，就提出了一个深层的增强学习算法，以将多个用户与干扰约束的多个地图相关联。每个用户充当独立的代理，在完全分布的架构中运行并最大化网络总数。
6G networks require a flexible infrastructure to dynamically provide ubiquitous network coverage. Mobile Access Points (MAP) deployment is a promising solution. In this paper, we formulate the joint 3D MAP deployment and user association problem over a dynamic network under interference and mobility constraints. First, we propose an iterative algorithm to optimize the deployment of MAPs. Our solution efficiently and quickly determines the number, position and configuration of MAPs for highly dynamic scenarios. MAPs provide appropriate Quality of Service (QoS) connectivity to mobile ground user in mmwave or sub-6GHz bands and find their optimal positions in a 3D grid. Each MAP also implies an energy cost (e.g. for travel) to be minimized. Once all MAPs deployed, a deep multiagent reinforcement learning algorithm is proposed to associate multiple users to multiple MAPs under interference constraint. Each user acts as an independent agent that operates in a fully distributed architecture and maximizes the network sum-rate.
