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In this paper, the effective use of unmanned aerial
vehicles (UAVs) as flying base stations that can provide wireless
service to ground users is investigated. In particular, a novel
framework for optimizing the performance of such UAV-based
wireless systems, in terms of the average number of bits (data
service) transmitted to users under flight tim...
Contexts in source publication
Context 1
... continuous control function can also be considered in our model. The simulation parameters are listed in Table I. We compare our results, obtained based on the proposed optimal cell partitioning approach, with the classical weighted Voronoi diagram baseline. Note that, all statistical results are averaged over a large number of independent runs. Fig. 2 shows the proposed optimal cell partitions and the classical weighted Voronoi diagram. In this case, we consider 5 UAVs that provide service for the non-uniformly distributed ground users (truncated Gaussian distribution). Moreover, we assume that the maximum flight time of each UAV is 30 minutes which corresponds to the typical flight ...
Context 2
... cell partitions and the classical weighted Voronoi diagram. In this case, we consider 5 UAVs that provide service for the non-uniformly distributed ground users (truncated Gaussian distribution). Moreover, we assume that the maximum flight time of each UAV is 30 minutes which corresponds to the typical flight time for quad- copter UAVs. In Fig. 2, areas shown by a darker color have a higher population density. As we can see from Fig. 2b, the cell partitions associated with UAVs 3 and 4 have significantly more users than cell partition 1. Therefore, given the limited flight times, users located at cell partitions 3 and 4 cannot be fairly served by UAVs. However, in the proposed ...
Context 3
... 5 UAVs that provide service for the non-uniformly distributed ground users (truncated Gaussian distribution). Moreover, we assume that the maximum flight time of each UAV is 30 minutes which corresponds to the typical flight time for quad- copter UAVs. In Fig. 2, areas shown by a darker color have a higher population density. As we can see from Fig. 2b, the cell partitions associated with UAVs 3 and 4 have significantly more users than cell partition 1. Therefore, given the limited flight times, users located at cell partitions 3 and 4 cannot be fairly served by UAVs. However, in the proposed optimal cell partitioning case (obtained by Algorithm 1), the cell partitions change such ...
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Due to high mobility and flexibility, unmanned aerial vehicles (UAVs) have attracted significant attention from both academia and industry in wireless communications. Different types of UAVs are used for different wireless applications. However, there is a dilemma that no suitable approach is available to provide continuous available long-time wire...
Citations
... [118] models a semi-discrete optimal transport problem whereby the total system data service is sought to be maximised in which a continuous distribution of user UAVs is mapped to a discrete distribution of base station UAVs. Tackling a similar wireless communication problem from the perspective of an energy related time constraint, [119] proposes a gradient-based algorithm wherein the communication user distribution as well as UAV flight time and locations are considered to optimally partition the environment space, leading to a significantly higher service fairness among users. Whilst optimal paths and placements are defined, consideration must be given to both the achievability and calculability in respect of dynamic changing environment spaces. ...
Unmanned aerial vehicles (UAVs) have the potential to make a significant impact in a range of scenarios where it is too risky or too costly to rely on human labour. Fleets of autonomous UAVs, which complete tasks collaboratively while managing their basic flight and related tasks independently, present further opportunities along with research and regulatory challenges. Improvements in UAV construction and components, along with developments in embedded computing hardware, communication mechanisms and sensors which may be mounted on-board a UAV are nearing the point where commercial deployment of fleets of autonomous UAVs will be technically possible. To fulfil this potential, UAVs will need to operate safely and reliably in complex and potentially dynamically changing environments with path-planning, obstacle sensing and collision avoidance paramount. This survey presents an original environment complexity classification, and critically analyses the current state of the art in relation to UAV path-planning approaches. Moreover, it highlights the existing challenges in environment complexity modelling and representation, path-planning approaches, and outlines open research questions together with future directions.
