Energy-Efficient Rotary-Wing UAV Deployment Under Flight Dynamics and QoS Constraints

Demir, Uygar; Ipek, Merve Cigdem; Toker, Cenk; Ekici, Özgür

doi:10.1109/blackseacom.2019.8812816

Cited by 14 publications

(17 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to improve energy efficiency, the authors propose a fly‐hover approach, in which the FCR UAV moves between different waypoints, where it hovers for a period of time for providing communications for each ground user, in a time‐division multiple access scheme. Demir et al 35 studied the power‐aware deployment of a UAV, considering flight dynamics and QoS guarantees for the users being served. Still, their work is focused on the influence of the altitude, hardware components, and payload weight in the UAV power consumption, considering the UAV is hovering.…”

Section: Related Workmentioning

confidence: 99%

“…Once an intersection volume is found, the altitude corresponding to the highest area inside the intersection volume is selected (line 11 of Algorithm 1). A constant altitude for the trajectory to be completed by the FCR UAV is defined, since significant changes in the UAV altitude imply additional power consumption 35,43,44 . The centroid of that area is the position defined by the GWP algorithm, where all possible trajectories for the FCR UAV must pass through (line 12 of Algorithm 1).…”

Section: Erep Algorithmmentioning

confidence: 99%

“…A constant altitude for the trajectory to be completed by the FCR UAV is defined, since significant changes in the UAV altitude imply additional power consumption. 35,43,44 The centroid of that area is the position defined by the GWP algorithm, where all possible trajectories for the FCR UAV must pass through (line 12 of Algorithm 1). The next step consists in defining the waypoints for the possible trajectories.…”

Section: Gwp Hovering Yes Highmentioning

confidence: 99%

See 2 more Smart Citations

Energy‐aware relay positioning in flying networks

Rodrigues

Coelho

Ricardo

et al. 2022

Int J Communication

View full text Add to dashboard Cite

Summary The ability to move and hover has made rotary‐wing unmanned aerial vehicles (UAVs) suitable platforms to act as flying communications relays (FCRs), aiming at providing on‐demand, temporary wireless connectivity when there is no network infrastructure available or a need to reinforce the capacity of existing networks. However, since UAVs rely on their on‐board batteries, which can be drained quickly, they typically need to land frequently for recharging or replacing them, limiting their endurance and the flying network availability. The problem is exacerbated when a single FCR UAV is used. The FCR UAV energy is used for two main tasks: Communications and propulsion. The literature has been focused on optimizing both the flying network performance and energy efficiency from the communications point of view, overlooking the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion. In this article, we propose energy‐aware relay positioning (EREP), an algorithm for positioning the FCR taking into account the energy spent for the UAV propulsion. Building upon the conclusion that hovering is not the most energy‐efficient state, EREP defines the trajectory and speed that minimize the energy spent by the FCR UAV on propulsion, without compromising in practice the quality of service offered by the flying network. The EREP algorithm is evaluated using simulations. The obtained results show gains up to 26% in the FCR UAV endurance for negligible throughput and delay degradation.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Erep Algorithmmentioning

confidence: 99%

Section: Gwp Hovering Yes Highmentioning

confidence: 99%

See 1 more Smart Citation

Energy‐aware relay positioning in flying networks

Rodrigues

Coelho

Ricardo

et al. 2022

Int J Communication

View full text Add to dashboard Cite

show abstract

“…1). A constant altitude is defined, since changes in the UAV altitude imply higher power consumption [8]. The centroid of that area is the optimal position, where all possible trajectories for the FCR UAV must pass through (line 13 of Alg.…”

Section: Energy-aware Relay Positioning Algorithmmentioning

confidence: 99%

“…Therefore, hovering is not the most power-efficient UAV state. In [8], the poweraware deployment of a UAV is studied, considering flight dynamics and QoS guarantees for the users being served. Still, the work is focused on the influence of the altitude, hardware components, and payload weight in the power consumption, considering the UAV is hovering.…”

Section: Introductionmentioning

confidence: 99%

Joint Energy and Performance Aware Relay Positioning in Flying Networks

Rodrigues¹,

Coelho²,

Ricardo³

et al. 2022

Preprint

View full text Add to dashboard Cite

<p>Unmanned Aerial Vehicles (UAVs) have emerged as suitable platforms for transporting and positioning communications nodes on demand, including Wi-Fi Access Points and cellular Base Stations. This paved the way for the deployment of flying networks capable of temporarily providing wireless connectivity and reinforcing the coverage and capacity of existing networks anywhere, anytime. Several solutions have been proposed in the literature for the positioning of UAVs that act as Flying Access Points (FAPs). Yet, the positioning of Flying Communications Relays (FCRs) in charge of forwarding the traffic to/from the Internet has not received equal attention. A major challenge in flying networks is the UAVs endurance. Since the UAVs are typically powered by on-board batteries with limited capacity, whose energy is used for communications and propulsion, the UAVs need to land frequently for recharging or replacing their batteries, limiting the flying network availability. State of the art works are focused on optimizing both the flying network performance and the energy-efficiency from the communications point of view, but do not consider the energy spent for the UAV propulsion. Yet, the energy spent for communications is typically negligible when compared with the energy spent for the UAV propulsion.</p><p>In order to address the FCR UAV positioning and energy-efficiency challenges, we have proposed the Energy-aware RElay Positioning (EREP) algorithm. EREP defines the trajectory and speed of the FCR UAV that minimize the energy spent for the UAV propulsion. However, since EREP considers a theoretical radio propagation model for computing the minimum Signal-to-Noise Radio (SNR) values that allow to meet the FAPs traffic demand, this may lead to network performance degradation in real-world networking scenarios, especially due to the FCR UAV movement. In this article, we propose the Energy and Performance Aware relay Positioning (EPAP) algorithm. Built upon the EREP algorithm, EPAP defines target performance-aware SNR values for the wireless links established between the FCR UAV and the FAPs and, based on that, computes the trajectory to be completed by the FCR UAV, so that the energy spent for the UAV propulsion is minimized. EPAP was evaluated in terms of both the flying network performance and the FCR UAV endurance, considering multiple networking scenarios. Simulation results show gains up to 25% in the FCR UAV endurance, while not compromising the Quality of Service offered by the flying network.</p>

show abstract

Energy‐efficient power control and altitude planning for UAV‐based vehicular communications in 5G NR‐V2X networks

Aslani,

Saberinia

2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) are becoming increasingly popular in various industries, including telecommunications. In the realm of 5G new radio vehicle‐to‐everything (NR‐V2X) networks, UAVs can be used as mobile base stations (UAV‐BS) to provide vehicular communications. However, effective power control and altitude planning algorithms are required to maximize the energy efficiency (EE) of these UAV‐BS systems. In this article, we propose an energy‐efficient power control and altitude planning algorithm for UAV‐BS in NR‐V2X networks. We formulate the optimization problem of maximizing the system's EE while considering the reliability requirements of vehicular users, the limitations of UAV‐BS hovering altitude, and the feasibility of transmission power levels. The problem is nonconvex, and we address this by reformulating it into a convex problem using the Dinkelbach and alternating optimization methods. The simulation results demonstrate that the proposed algorithm closely achieves the performance of exhaustive search while it is more computationally efficient. Moreover, our algorithm by jointly optimizing transmission power and hovering altitude performs better than other schemes proposed in the literature, as shown through our simulation results.

show abstract

Energy-Efficient Rotary-Wing UAV Deployment Under Flight Dynamics and QoS Constraints

Cited by 14 publications

References 8 publications

Energy‐aware relay positioning in flying networks

Energy‐aware relay positioning in flying networks

Joint Energy and Performance Aware Relay Positioning in Flying Networks

Energy‐efficient power control and altitude planning for UAV‐based vehicular communications in 5G NR‐V2X networks

Contact Info

Product

Resources

About