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20172020
most citedBackhaul-aware Robust 3D Drone Placement in 5G+ Wireless Networks

25 citations · 25 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.NI2020

Wireless Networks with Cache-Enabled and Backhaul-Limited Aerial Base Stations

Elham Kalantari, Halim Yanikomeroglu, Abbas Yongacoglu

Use of aerial base stations (ABSs) is a promising approach to enhance the agility and flexibility of future wireless networks. ABSs can improve the coverage and/or capacity of a ne…

cs.NI2018

On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks

Elham Kalantari, Halim Yanikomeroglu, Abbas Yongacoglu

Using drone base stations (drone-BSs) in wireless networks has started attracting attention. Drone-BSs can assist the ground BSs in both capacity and coverage enhancement. One of t…

cs.NI2018

Efficient 3D Aerial Base Station Placement Considering Users Mobility by Reinforcement Learning

Rozhina Ghanavi, Elham Kalantari, Maryam Sabbaghian +2

This paper considers an aerial base station (aerial-BS) assisted terrestrial network where user mobility is taken into account. User movement changes the network dynamically which…

cs.NI2017

User Association and Bandwidth Allocation for Terrestrial and Aerial Base Stations with Backhaul Considerations

Elham Kalantari, Irem Bor-Yaliniz, Abbas Yongacoglu +1

Drone base stations (DBSs) can enhance network coverage and area capacity by moving supply towards demand when required. This degree of freedom could be especially useful for futur…

cs.NI201725 cited

Backhaul-aware Robust 3D Drone Placement in 5G+ Wireless Networks

Elham Kalantari, Muhammad Zeeshan Shakir, Halim Yanikomeroglu +1

Using drones as flying base stations is a promising approach to enhance the network coverage and area capacity by moving supply towards demand when required. However deployment of…