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    Aerial platforms utilization for future networks
    (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2018) Abdelkhalek, Mostafa Helmy Mohamed; Arslan, Hüseyin
    Challenges facing the next generation of communication systems include utilizing the wireless networks in the rural areas and disaster situations, as well as the requirements of high capacity services and connectivity wherever, whenever, and however necessary. With the limitations on the current terrestrial and satellite backbones, utilizing the aerial platforms as a spine of wireless communication is a promising solution. For disastrous scenarios, we address the issue of optimizing the location of aerial base stations (ABS) to provide minimum power consumption due to path-loss. We propose an algorithm that dynamically positions ABS in low altitude platform (LAP) by moving the ABS between multiple points within the whole coverage area. Furthermore, we derive the outage probability formula for each user to measure how much gain this algorithm can offer. For improving the performance of wireless communication in future networks, we study the behavior of the aerial heterogeneous networks that utilize high and low altitude platforms (HAPs, LAPs) working on the same network as macro- and femto- cells, respectively. For that model, we derive the coverage probability for the signal to interference ratio (SIR) in the cases where, either the downlink channels are correlated or uncorrelated with respect to shadowing. The results show the coverage was enhanced due to the effect of correlated shadowing between HAPs and LAPs coverage area. Also, for each user, we use the previous scenario to determine the probability of being associated with either one of the HAP or LAP. From the association probability, we derive the cell load of each ABS. After that, we develop a framework of the outage probability for a target user for a certain platform. Finally, we propose a dynamic placement algorithm for LAPs ABSs, to achieve load balancing and improve the quality of service (QoS) for overall users. We show, through simulation results, that the algorithm provides considerable gains over static aerial cellular networks.