Deep

摘要

In this paper, we study the communication-oriented unmanned air vehicle (UAV) placement issue in a typical manned-and-unmanned (MUM) airborne network. The MUM network consists of a few powerful aircraft nodes in the higher layer and high-density UAVs in the lower layer. While the aircraft network is relatively stable, the UAVs can form different swarm network topologies. Some UAVs are selected as gateway nodes to aggregate the received UAV data and send to a nearby aircraft which acts as a control node for the UAVs in a swarm. Assume a source UAV has data to be sent to its gateway node by using a route which may have broken links. Our goal is to guide the position of one or more relay UAVs to make up for the broken wireless links under the dynamic swarm topology. The placement of the relay node is determined by both traffic quality-of-service (QoS) requirements and the link conditions. We design a new queueing model, called multi-hop priority queue, to analyze the achievable QoS performance through multi-hop queue-to-queue accumulation modeling. To handle dynamic swarm topology and time-varying link conditions, we design a deep