2017/05/27 by Hazim Shakhatreh, Shakhatreh, Hazim, Abdallah Khreishah +1
Computer Science · Engineering · #FOS: Computer and information sciences #Information Theory (cs.IT) #Robotic Path Planning Algorithms #Robotics and Sensor-Based Localization #UAV Applications and Optimization
paper · pdf · doi:10.48550/arxiv.1705.09772
openalex publication_date 2017/05/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Unmanned aerial vehicles (UAVs) can be used to provide wireless coverage\nduring emergency cases where each UAV serves as an aerial wireless base station\nwhen the cellular network goes down. They can also be used to supplement the\nground base station in order to provide better coverage and higher data rates\nfor the users. In this paper, we aim to maximize the indoor wireless coverage\nusing UAVs equipped with directional antennas. We study the case that the UAVs\nare using one channel, thus in order to maximize the total indoor wireless\ncoverage, we avoid any overlapping in their coverage volumes. We present two\nmethods to place the UAVs; providing wireless coverage from one building side\nand from two building sides. In the first method, we utilize circle packing\ntheory to determine the 3-D locations of the UAVs in a way that the total\ncoverage area is maximized. In the second method, we place the UAVs in front of\ntwo building sides and efficiently arrange the UAVs in alternating upsidedown\narrangements. We show that the upside-down arrangements problem can be\ntransformed from 3D to 2D and based on that we present an efficient algorithm\nto solve the problem. Our results show that the upside-down arrangements of\nUAVs, can improve the maximum total coverage by 100% compared to providing\nwireless coverage from one building side.\n