313 research outputs found
On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks
Using drones for cellular coverage enhancement is a recent technology that
has shown a great potential in various practical scenarios. However, one of the
main challenges that limits the performance of drone-enabled wireless networks
is the limited flight time. In particular, due to the limited on-board battery
size, the drone needs to frequently interrupt its operation and fly back to a
charging station to recharge/replace its battery. In addition, the charging
station might be responsible to recharge multiple drones. Given that the
charging station has limited capacity, it can only serve a finite number of
drones simultaneously. Hence, in order to accurately capture the influence of
the battery limitation on the performance, it is required to analyze the
dynamics of the time spent by the drones at the charging stations. In this
paper, we use tools from queuing theory and stochastic geometry to study the
influence of each of the charging stations limited capacity and spatial density
on the performance of a drone-enabled wireless network
Performance Evaluation of UAV-enabled Cellular Networks with Battery-limited Drones
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) to
offload Macro-BSs in hotspots. However, due to the limited battery on-board,
UAVs can typically stay in operation for less than 1.5 hours. Afterward, the
UAV has to fly back to a dedicated charging station that recharges/replaces the
UAV's battery. In this paper, we study the performance of a UAV-enabled
cellular network while capturing the influence of the spatial distribution of
the charging stations. In particular, we use tools from stochastic geometry to
derive the coverage probability of a UAV-enabled cellular network as a function
of the battery size, the density of the charging stations, and the time
required for recharging/replacing the battery
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future
A High Altitude Platform Station (HAPS) is a network node that operates in
the stratosphere at an of altitude around 20 km and is instrumental for
providing communication services. Precipitated by technological innovations in
the areas of autonomous avionics, array antennas, solar panel efficiency
levels, and battery energy densities, and fueled by flourishing industry
ecosystems, the HAPS has emerged as an indispensable component of
next-generations of wireless networks. In this article, we provide a vision and
framework for the HAPS networks of the future supported by a comprehensive and
state-of-the-art literature review. We highlight the unrealized potential of
HAPS systems and elaborate on their unique ability to serve metropolitan areas.
The latest advancements and promising technologies in the HAPS energy and
payload systems are discussed. The integration of the emerging Reconfigurable
Smart Surface (RSS) technology in the communications payload of HAPS systems
for providing a cost-effective deployment is proposed. A detailed overview of
the radio resource management in HAPS systems is presented along with
synergistic physical layer techniques, including Faster-Than-Nyquist (FTN)
signaling. Numerous aspects of handoff management in HAPS systems are
described. The notable contributions of Artificial Intelligence (AI) in HAPS,
including machine learning in the design, topology management, handoff, and
resource allocation aspects are emphasized. The extensive overview of the
literature we provide is crucial for substantiating our vision that depicts the
expected deployment opportunities and challenges in the next 10 years
(next-generation networks), as well as in the subsequent 10 years
(next-next-generation networks).Comment: To appear in IEEE Communications Surveys & Tutorial
A review of relay network on UAVS for enhanced connectivity
One of the best evolution in technology breakthroughs is the Unmanned Aerial Vehicle (UAV). This aerial system is able to perform the mission in an agile environment and can reach the hard areas to perform the tasks autonomously. UAVs can be used in post-disaster situations to estimate damages, to monitor and to respond to the victims. The Ground Control Station can also provide emergency messages and ad-hoc communication to the Mobile Users of the disaster-stricken community using this network. A wireless network can also extend its communication range using UAV as a relay. Major requirements from such networks are robustness, scalability, energy efficiency and reliability. In general, UAVs are easy to deploy, have Line of Sight options and are flexible in nature. However, their 3D mobility, energy constraints, and deployment environment introduce many challenges. This paper provides a discussion of basic UAV based multi-hop relay network architecture and analyses their benefits, applications, and tradeoffs. Key design considerations and challenges are investigated finding fundamental issues and potential research directions to exploit them. Finally, analytical tools and frameworks for performance optimizations are presented
UAVs for the Environmental Sciences
This book gives an overview of the usage of UAVs in environmental sciences covering technical basics, data acquisition with different sensors, data processing schemes and illustrating various examples of application
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