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dc.contributor.authorPokkunuru, Akarsh
dc.contributor.authorZhang, Qin
dc.contributor.authorWang, Pu
dc.identifier.citationPokkunuru, Akarsh; Zhang, Qin; Wang, Pu. 2017. Capacity analysis of aerial small cells. 2017 IEEE International Conference on Communications (ICC)en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractProviding high-speed communication for mobile users in remote geographic areas or after a disaster occurs is not only critical but also challenging. To counter such challenge, unmanned aerial vehicles (UAVs) have been exploited to provide a fast-deployable and high-speed communication system, where each UAV can serve as an aerial small cell base station to provide WiFi and/or cellular services for the ground users. Despite its fast-deployable and highly maneuverable features, the capacity analysis of aerial small cells is largely missing. To close such gap, a stochastic propagation model for A-to-G aerial channels is first introduced, which takes into account the impact from wave propagation, gaseous absorption, Doppler spread, attitude-dependent shadowing, and multipath fading. Then, by exploiting such model, the area spectral efficiency of the aerial small cells is investigated for both SISO and MIMO cases. Our study reveals the inherent relationship among the area capacity, height and coverage and shows that there exists an optimal attitude that can maximize network capacity and cell coverage.en_US
dc.relation.ispartofseries2017 IEEE International Conference on Communications (ICC);
dc.subjectFading channelsen_US
dc.subjectRician channelsen_US
dc.subjectUnmanned aerial vehiclesen_US
dc.subjectShadow mappingen_US
dc.titleCapacity analysis of aerial small cellsen_US
dc.typeConference paperen_US
dc.rights.holder© 2017, IEEEen_US

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