2019
DOI: 10.1016/j.jnca.2019.07.002
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Optimized deployment of drone base station to improve user experience in cellular networks

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Cited by 36 publications
(21 citation statements)
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“…[17] presented a statistical generic air-to-ground RF propagation model for the drone-BS cell, facilitate the formulation of modeling problems of cellular networks with drone-BSs. The control problems of drone-BSs previously studied in, e.g., [2,4,[18][19][20][21][22], are related to the 2D or 3D placement of drone-BSs. Where the objectives are to improve the coverage and power efficiency, maximizing the revenue and minimize the interference of drone-BSs.…”
Section: Related Workmentioning
confidence: 99%
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“…[17] presented a statistical generic air-to-ground RF propagation model for the drone-BS cell, facilitate the formulation of modeling problems of cellular networks with drone-BSs. The control problems of drone-BSs previously studied in, e.g., [2,4,[18][19][20][21][22], are related to the 2D or 3D placement of drone-BSs. Where the objectives are to improve the coverage and power efficiency, maximizing the revenue and minimize the interference of drone-BSs.…”
Section: Related Workmentioning
confidence: 99%
“…Whereas the location information of network users is often unavailable, especially in the disaster area. [22] optimized the deployment of single and multiple drone-BSs to improve user experience in cellular networks based on greedy algorithms. The paper innovatively considered the inner drone distance constraint and drones' battery constraint during the optimization.…”
Section: Related Workmentioning
confidence: 99%
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“…BS, their exact locations cannot be acquired by the cellular network. [7] formulated a series of single and multiple drone-BSs deployment problems and proved that they are NP-hard. Several greedy algorithms were designed to solve the proposed problems.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, the 2D projections of drone-BSs are restricted to streets to avoid collision with buildings, and MSs to be served are assumed to be located near streets. [7] innovatively considered drone-BSs' battery constraints and inner drone distance constraint during optimizations. In our paper, the operating area of drone-BSs is not limited to urban areas, and MSs are not necessarily to be located near streets.…”
Section: Introductionmentioning
confidence: 99%