Energy Aware Trajectory Optimization for Aerial Base Stations

Jing, Xiaoye; Sun, Jingcong; Masouros, Christos

doi:10.1109/tcomm.2021.3055525

Cited by 22 publications

(7 citation statements)

References 32 publications

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“…Since the charging power was assumed to be a constant, P ld [N aap ({T r }), t] will have the same shape as ld [N aap ({T r }), t], but it will be expressed in Watts. For a given T period , from (14b), the number of required PV panels and battery units is proportional to the load profile on the CS; from (24), the load profile of the CS is in turn a function of the number of AAPs. Therefore, the size of the AAP fleet has an impact on the number of PV panels and battery units.…”

Section: A Wave-based Load Profile Modeling Of the Csmentioning

confidence: 99%

Cost-Efficient Design of an Energy-Neutral UAV-Based Mobile Network

Virgili

Babu

Javidsharifi

et al. 2022

IEEE Trans. Commun.

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This work proposes a framework to design a costefficient unmanned aerial vehicle (UAV)-based energy-neutral (EN) system deployed to harvest data from a set of internet-ofthings (IoT) nodes. The energy-neutrality refers to the zero-sum balance between energy harvested, stored, and consumed during operation, which is a game-changer when a connection to the electricity grid is not available/feasible. This involves employing an off-grid charging station (CS) comprising of photovoltaic (PV) panels and batteries that provide enough energy to recharge the UAV-based aerial access points (AAPs). The investment cost is determined by the number of AAPs, PV panels, and ground battery units. Its minimization cannot be achieved using conventional optimization tools due to the non-tractable form of the CS load. Therefore, a novel wave-based method is proposed to represent the load profile as a proportional function of the required number of AAPs, so as to directly relate the CS design to the trajectory optimization. Compared to baseline scenarios, the proposed trajectory design can halve the time and energy consumption; the investment cost varies with the time and season of service; the off-grid CS is particularly advantageous in rural areas, while in urban areas its cost is comparable to that of a grid-connected alternative.

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Section: A Wave-based Load Profile Modeling Of the Csmentioning

confidence: 99%

Cost-Efficient Design of an Energy-Neutral UAV-Based Mobile Network

Virgili

Babu

Javidsharifi

et al. 2022

IEEE Trans. Commun.

Self Cite

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“…Tingting Lan et al [24] obtained the one-way energyefficiency trajectory among a large number of GNs under certain communication demands but they have not analyzed the effect of the changing communication throughput requirements on the trajectory design. Additionally, authors in [25] designed a closed flying trajectory with multiple GNs, but they focused on the maximum number of ground users served under the UAV battery limitation. Nevertheless, the closed UAV trajectory optimization with the total energy consumption minimization among multiple GNs under variant transmission demands is a further valuable direction to explore for the UAV communication system design, which has not been discussed in detail.…”

Section: Introductionmentioning

confidence: 99%

Closed Trajectory Optimization for Aerial Base Station: An Energy Efficiency Design

Tian¹

2023

FCIS

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By optimizing the energy-efficient flight trajectory of unmanned aerial vehicles (UAVs), UAV-based aerial base stations (BSs) can provide longer communication services to more ground nodes (GNs) under the UAV battery limitation. Path discretization method and successive convex approximation (SCA) algorithm have been shown to be effective techniques in the design of the energy-aware UAV one-way trajectory along a few GNs. Compared with current studies, this paper designed and compared different optimal closed UAV trajectories among multiple GNs under a wide range of changing communication requirements. Meanwhile, a more complex and realistic scenario is considered where the UAV visits the ground nodes sequentially without repetition from a centrally located terrestrial base station and returns to the starting point in the end. To thoroughly analyze this problem, two UAV trajectory designs are proposed in this paper. One is to use the fly-hover-communicate protocol as a benchmark for comparison, and the other is to require that the UAV should fly and communicate with ground nodes simultaneously, named the fly-over scheme. The simulation results show that, in general, the proposed fly-over scheme outperforms the benchmark results, while in the case of high and low communication demands, the energy-saving performance of both is very similar. Therefore, advice can be given on the design of the UAV trajectory depending on different situations.

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“…However, as the importance of the application of UAVs in rural areas without access to a reliable electricity grid is discussed, the main objective of this paper is to optimally size the PV-battery power supply system for drone-based cellular networks to minimize the total cost. Applying UAVs as small cellular base stations is also beneficial in emergency or disaster situations, where the availability to the terrestrial networks is lost [4,29], or in big events such as Olympic Games or concerts where the number of mobile users increases for a short period and the installation of a fixed mobile network is not cost-effective [4,30,31].…”

Section: Introductionmentioning

confidence: 99%

Optimum Sizing of Photovoltaic-Battery Power Supply for Drone-Based Cellular Networks

Javidsharifi

Arabani

Kerekes

et al. 2021

Drones

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In order to provide Internet access to rural areas and places without a reliable economic electricity grid, self-sustainable drone-based cellular networks have recently been presented. However, the difficulties of power consumption and mission planning lead to the challenge of optimal sizing of the power supply for future cellular telecommunication networks. In order to deal with this challenge, this paper presents an optimal approach for sizing the photovoltaic (PV)-battery power supply for drone-based cellular networks in remote areas. The main objective of the suggested approach is to minimize the total cost, including the capital and operational expenditures. The suggested framework is applied to an off-grid cellular telecommunication network with drone-based base stations that are powered by PV-battery systems-based recharging sites in a rural location. The PV-battery system is optimally designed for three recharging sites with three different power consumption profiles with different peak and cumulative loads. Results show that the optimal design of the PV-battery system is dependent on geographical data, solar irradiation, and ambient temperature, which affect the output power of the PV system, as well as the power consumption profile, which affects the required number of PV panels and battery capacity.

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Energy Aware Trajectory Optimization for Aerial Base Stations

Cited by 22 publications

References 32 publications

Cost-Efficient Design of an Energy-Neutral UAV-Based Mobile Network

Cost-Efficient Design of an Energy-Neutral UAV-Based Mobile Network

Closed Trajectory Optimization for Aerial Base Station: An Energy Efficiency Design

Optimum Sizing of Photovoltaic-Battery Power Supply for Drone-Based Cellular Networks

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