Extending Cell Tower Coverage through Drones

Dhekne, Ashutosh; Gowda, Mahanth; Choudhury, Romit Roy

doi:10.1145/3032970.3032984

Cited by 28 publications

(14 citation statements)

References 12 publications

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“…The proposed scheme presented in this section is different form the aforementioned studies [11], [15], [18], [22], [29] in Section II from several perspectives.…”

Section: Uav Trajectory and Speedmentioning

confidence: 99%

“…Hence, slight changes in UAV altitude poses less impact on the coverage of Wi-Fi networks. The authors in [22] further demonstrated that by decreasing the UAV altitude, the SNR does not improve significantly.…”

Section: Related Workmentioning

confidence: 99%

“…UAV-based communication in SR communication networks has been studied in [18], [22]- [26]. Authors in [17] stated that UAVs can be used in SR communication networks such as IoT scenarios [27], [28] where the devices cannot communicate over long distances.…”

Section: Related Workmentioning

confidence: 99%

“…In [26], authors propose the use of UAV communication to extend the coverage of Wi-Fi networks. Authors in [22], propose to deploy UAVs as Wi-Fi hotspots to extend the coverage of the cellular networks. The UAVs are placed in 3D space such that it maximize the aggregated SNR of all nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Thirdly, the works in Section II that study the UAVaided Wi-Fi and IoT networks have several limitations. For instance, the works in [22]- [25], [29] study the coverage and throughput, but does not investigate the impact on energy performance. Similarly the works [11], [26] focuses on the energy efficiency but does not study the throughput and coverage.…”

Section: Uav Trajectory and Speedmentioning

confidence: 99%

See 4 more Smart Citations

A Novel UAV-Aided Network Architecture Using Wi-Fi Direct

et al. 2019

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The use of unmanned aerial vehicles (UAVs) in future wireless networks is gaining attention due to their quick deployment without requiring the existing infrastructure. Earlier studies on UAV-aided communication consider generic scenarios, and very few studies exist on the evaluation of UAV-aided communication in practical networks. The existing studies also have several limitations, and hence, an extensive evaluation of the benefits of UAV communication in practical networks is needed. In this paper, we proposed a UAV-aided Wi-Fi Direct network architecture. In the proposed architecture, a UAV equipped with a Wi-Fi Direct group owner (GO) device, the so-called Soft-AP, is deployed in the network to serve a set of Wi-Fi stations. We propose to use a simpler yet efficient algorithm for the optimal placement of the UAV. The proposed algorithm dynamically places the UAV in the network to reduce the distance between the GO and client devices. The expected benefits of the proposed scheme are to maintain the connectivity of client devices to increase the overall network throughput and to improve energy efficiency. As a proof of concept, realistic simulations are performed in the NS-3 network simulator to validate the claimed benefits of the proposed scheme. The simulation results report major improvements of 23% in client association, 54% in network throughput, and 33% in energy consumption using single UAV relative to the case of stationary or randomly moving GO. Further improvements are achieved by increasing the number of UAVs in the network. To the best of our knowledge, no prior work exists on the evaluation of the UAV-aided Wi-Fi Direct networks. INDEX TERMS Access point, group owner, NS-3, unmanned aerial vehicle, Wi-Fi Direct.

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“…The proposed scheme presented in this section is different form the aforementioned studies [11], [15], [18], [22], [29] in Section II from several perspectives.…”

Section: Uav Trajectory and Speedmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Uav Trajectory and Speedmentioning

confidence: 99%

See 3 more Smart Citations

A Novel UAV-Aided Network Architecture Using Wi-Fi Direct

et al. 2019

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UAV-fleet management for extended NextG emergency support infrastructure with QoS and cost aware

Abdel-Malek,

Azab

2024

Internet of Things

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3D Placement of Drone-Mounted Remote Radio Head for Minimum Transmission Power Under Connectivity Constraints

et al. 2020

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Dense small cell deployment in a cloud radio access network (C-RAN) is an effective approach to satisfy the increasing requirements of the emerging fifth generation (5G) mobile networks. Nevertheless, the optimal deployment of small cells is not always possible due to certain limitations, such as the existence of backbone infrastructure and appropriate power supply. In addition, the increased throughput requirements in a certain area may be temporal, such as in the case of an event such as a sports match or a concert. To this end, the leverage of multiple drone-mounted remote radio heads (D-RRHs), coupled with advanced user scheduling and multiplexing schemes, can be a promising asset in provisioning an on-demand and dynamic C-RAN. Nevertheless, finding the optimal placement of the D-RRHs, under certain quality of service (QoS) constraints can be challenging. In this work, we propose a D-RRH placement approach that minimizes the transmission power by optimally placing the D-RRH. We formulate the placement optimization problem and decouple it into two separate sub-problems, namely the horizontal placement and the vertical placement problems. An implementation of the Weiszfeld algorithm is utilized in order to solve the horizontal placement problem by finding the point that minimizes the sum distances. The vertical placement problem is calculated as a function of the optimal elevation angle and the radius of the coverage area. In order to evaluate the performance of the proposed approach, we carried out extensive evaluations and compare our proposed approach against two similar approaches. The evaluation results show the feasibility of the proposed approach in minimizing the required transmission power and maintaining fairly good performance in terms of user connectivity.INDEX TERMS Cloud radio access network (C-RAN), base station (BS), drone, fifth generation (5G), placement optimization, remote radio head (RRH), unmanned aerial vehicle (UAV)

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Extending Cell Tower Coverage through Drones

Cited by 28 publications

References 12 publications

A Novel UAV-Aided Network Architecture Using Wi-Fi Direct

A Novel UAV-Aided Network Architecture Using Wi-Fi Direct

UAV-fleet management for extended NextG emergency support infrastructure with QoS and cost aware

3D Placement of Drone-Mounted Remote Radio Head for Minimum Transmission Power Under Connectivity Constraints

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