Simulation-based Analysis of Mobility Models for Wireless UAV-to-X Networks

Recently, the use of air base stations located on unmanned aerial vehicles(UAVs) has attracted great attention. Static deployment of a sufficient numberof such UAVs allows for uniform wireless coverage in the demanded areas,where the existing cellular infrastructure has white spots or insufficient capacity.However, UAVs mobility may be required for applications, where UAVs are usedto provide communications for mobile groups of users (e.g., massive sport orcommunity events like marathon or music festival) or for patrolling tasks withsoft requirements for data transmission delays (for example, when collectinginformation from a large number of mMTC sensors). In such tasks, the movementof UAVs can significantly increase the efficiency of the system, since in this casethe coverage of the area can be provided by a smaller number of UAVs followingthe dynamics of ground users. Nowadays, more and more often the questionarises about the mobile communications availability in a remote area, for example,during events or search operations. The high-quality communication lack ondemand in such areas is unacceptable in modern conditions. Therefore, the studyof the behavior of a dynamic UAV network is necessary for decision-making insuch scenarios. The main contribution to this work is making the user behaviormore human-alike according to the real scenarios: users set and their mobilitymodel. The paper considers two models of UAVs movement, the effectivenessof which is estimated from the point of view of the coverage probability andaverage fade duration of the signal.