Energy-Efficient UAV Communication with Multiple GTs Based on Trajectory Optimization

Xu, Yu; Xiao, Lin; Yang, Dingcheng; Cuthbert, Laurie; Wang, Yapeng

doi:10.1155/2018/5629573

Cited by 23 publications

(16 citation statements)

References 19 publications

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“…It is assumed that the air-to-ground/ground-to-air channel is dominated by LoS link and the Doppler effect is perfectively compensated [18,19,20,21,22,23]. Hence, we can obtain the channel power gain as hkr[n]=β0||boldq[n]−boldwk||2+H2,k∈K,n∈N, hrd[n]=β0||boldq[n]−boldwd||2+H2,n∈N, where hkr[n] denotes the channel power gain from the source k to UAV, and hrd[n] is the channel power gain from the UAV to destination.…”

Section: System Modelmentioning

confidence: 99%

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Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks

Yinfeng

Yang

et al. 2019

Sensors

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This paper investigates mobile relaying in wireless powered communication networks (WPCN), where an unmanned aerial vehicle (UAV) is employed to help information delivery from multiple sources to destination with communication channels severely blocked. The sources are low-power without energy supply. To support information transmission, the UAV acts as a hybrid access point (AP) to provide wireless power transfer (WPT) and information reception for sources. We set the issue of system throughput maximization as the optimization problem. On the one hand, the system is subject to the information causality constraint due to the dependent processes of information reception and transmission for the UAV. On the other hand, the sources are constrained by a so-called neutrality constraints due to the dependent processes of energy harvesting and energy consumption. In addition, we take account of the access delay issue of all ground nodes. Specifically, two paradigms of delay-tolerant case and delay-sensitive case are presented. However, the formulated problem including optimizations for time slot scheduling, power allocation and UAV trajectory is non-convex and thus is difficult to obtain its optimal solution. To tackle this problem, we apply the successive convex approximation (SCA) technique and propose an iterative algorithm by which a suboptimal solution can be achieved. Simulation results validate our proposed design, and show that the obtained suboptimal solution is high-quality, as compared to benchmark scheme.

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Section: System Modelmentioning

confidence: 99%

“…In the proposed Algorithm 1, the original Problem (P1) is decomposed into three subproblems that can be efficiently solved by typical method, as applied in [18,20,23] with low complexity. Then, these subproblems are optimized in an alternate manner.…”

Section: Proposed Designmentioning

confidence: 99%

Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks

Yinfeng

Yang

et al. 2019

Sensors

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“…Many works consider various restrictions that affect the path planning procedure. These range from:geometric: the imposition of artificial limitations in the types of paths, which may result [15,16,17,18];energy-based: considerations of the energy expenditure and distances within the WSN [19,20], limited buffer capacity for the WSN’s sensors [21];internal dynamics: fixed-wing UAVs have a higher cruising speed and longer operation time whereas rotor UAVs are more flexible but have less autonomy [22,23,24];communication: signal attenuation due to obstacle occlusion [25], minimum communication time with the cluster head [20]. …”

Section: Introductionmentioning

confidence: 99%

“…energy-based: considerations of the energy expenditure and distances within the WSN [19,20], limited buffer capacity for the WSN’s sensors [21];…”

Section: Introductionmentioning

confidence: 99%

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

Popescu

Stoican

Stâmâtescu

et al. 2019

Sensors

109

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Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and networking protocols have been leveraged to prove the viability of this concept. The design of suitable algorithms for data processing, communication and control across previously disparate domains has thus currently become an intensive area of interdisciplinary research. The paper was focused on the collaborative aspects of UAV–WSN systems and the reference papers were analyzed from this point of view, on each functional module. The paper offers a timely review of recent advances in this area of critical interest with focus on a comparative perspective across multiple recent theoretical and applied contributions. A systematic approach is carried out in order to structure a unitary from conceptual design towards key implementation aspects. Focus areas are identified and discussed such as distributed data processing algorithms, hierarchical multi-protocol networking aspects and high level WSN–constrained UAV-control. Application references are highlighted in various domains such as environmental, agriculture, emergency situations and homeland security. Finally, a research agenda is outlined to advance the field towards tangible economic and social impact.

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“…Although the UAV trajectory optimization problem can be approximated by means of Taylor expansion [26], [29], the deployment of a UAV network that provides the optimal coverage of ground nodes is still an NP-hard problem. Reina et al [30] proposed a multilayout multi-subpopulation genetic algorithm for multi-objective UAV networks coverage problems, and Reina et al [31] used a genetic algorithm to improve coverage in a disaster scenario for a UAVbased system designed to provide communication service to victims.…”

Section: Introductionmentioning

confidence: 99%

UAV Hovering Strategy Based on a Wirelessly Powered Communication Network

Chen

Yin

2019

IEEE Access

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With the development of wireless power transfer technology, wirelessly powered communication networks (WPCNs), which can provide a sustainable energy supply for the user equipment, have received extensive attention from researchers. An unmanned aerial vehicle (UAV)-based WPCN (U-WPCN) can effectively solve the problems of energy shortage and weak signal strength for ground terminals in remote areas. To establish a highly efficient U-WPCN, the service area for each UAV platform should be determined such that each UAV platform will hover at the optimal position according to the locations of the ground terminals in its group. Through hovering position optimization, this paper proposes two networking strategies for improving networking efficiency and maximizing communication performance. A greedy algorithm is used to find the optimal hovering point for each area; thus, the hovering points of all UAVs in the U-WPCN are finally obtained. Simulation results show that the UAV utilization efficiency can be significantly increased through the economical mode, and the terminal transmission rates can be improved for a given number of drones in the performance mode. INDEX TERMS Unmanned aerial vehicle, optimal placement, wirelessly powered communication network, sustainable communication.

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Energy-Efficient UAV Communication with Multiple GTs Based on Trajectory Optimization

Cited by 23 publications

References 19 publications

Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks

Throughput Maximization for UAV-Enabled Relaying in Wireless Powered Communication Networks

A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring

UAV Hovering Strategy Based on a Wirelessly Powered Communication Network

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