With the recent advances in telecommunications technologies, wireless networking has became
ubiquitous due to the ever-ending demand created by pervasive mobile applications. This quenchless
thirst of wireless communication networks has lead to a rapid evolution of generation mobile
netw...
With the recent advances in telecommunications technologies, wireless networking has became
ubiquitous due to the ever-ending demand created by pervasive mobile applications. This quenchless
thirst of wireless communication networks has lead to a rapid evolution of generation mobile
network. Fifth generation (5G) is now a new global wireless standard after 1G, 2G, 3G, and 4G
networks. 5G enables a new kind of network that is designed to connect virtually everyone and
everything together including machines, objects, and devices. With the current roll out of 5G, the
focus of research is shifting towards diverse key enabling technologies for 5G, such as Massive
MIMO (mMIMO), Millimeter wave (mWave), Internet of things (IoTs), Unmanned aerial vehicles
(UAVs), Radio access techniques, Wireless software defined networking (WDSN), Network
function virtualization (NFV), and Big data and cloud computing to name a few. In particular, this
thesis mainly focuses on UAV communication as one of the most promising technologies to yield
to great benefits for 5G wireless networks and beyond.
To satisfy the quality of service (QoS) requirements and guarantee the efficient power control
and high spectra efficiency of the UAV communication, this dissertation considers two rate
maximization problems, where resource allocation framework is taken into consideration. More
specifically, spectra allocation, and power control for interference management in UAV communication
are proposed, together with adjusting the UAV’s 3D placement so as to improve the network
performance.
Our first work investigates the downlink transmission in wireless backhaul networks when a
UAV is deployed as flying base station. The optimization problem is formulated based on the
objective function that maximizes the ground user’s achievable sum rate by thoroughly optimizing
the UAV’s placement, spectrum allocation, and power control. The formulated problem is NP-hard
problem. To tackle its non-convexity, we propose decomposing the underlying problem into two
sub-problems, which are then solved alternatively in an iterative manner. Moreover, simulation
results are conducted under various settings to divulge the significance and outperformance of our
proposed methods over existing ones.
The second work scrutinizes the downlink transmission of UAV-enabled wireless backhaul networks
in which non-orthogonal multiple access (NOMA) is incorporated to boost up the massive
connectivity and high spectra efficiency. More precisely, our purpose is to maximize the worst
ground user’s achievable rate by optimizing bandwidth allocation, UAV’s power allocation and
placement. The formulated problem is non-convex and not easy to solve optimally. Consequently,
to deal with its complexity and non-convexity, we develop a path following procedure and generate
a less-onerous algorithm that is iteratively run till convergence. Finally, the numerical results
are depicted to demonstrate significant improvements of the proposed algorithms over baseline schemes.
With the recent advances in telecommunications technologies, wireless networking has became
ubiquitous due to the ever-ending demand created by pervasive mobile applications. This quenchless
thirst of wireless communication networks has lead to a rapid evolution of generation mobile
network. Fifth generation (5G) is now a new global wireless standard after 1G, 2G, 3G, and 4G
networks. 5G enables a new kind of network that is designed to connect virtually everyone and
everything together including machines, objects, and devices. With the current roll out of 5G, the
focus of research is shifting towards diverse key enabling technologies for 5G, such as Massive
MIMO (mMIMO), Millimeter wave (mWave), Internet of things (IoTs), Unmanned aerial vehicles
(UAVs), Radio access techniques, Wireless software defined networking (WDSN), Network
function virtualization (NFV), and Big data and cloud computing to name a few. In particular, this
thesis mainly focuses on UAV communication as one of the most promising technologies to yield
to great benefits for 5G wireless networks and beyond.
To satisfy the quality of service (QoS) requirements and guarantee the efficient power control
and high spectra efficiency of the UAV communication, this dissertation considers two rate
maximization problems, where resource allocation framework is taken into consideration. More
specifically, spectra allocation, and power control for interference management in UAV communication
are proposed, together with adjusting the UAV’s 3D placement so as to improve the network
performance.
Our first work investigates the downlink transmission in wireless backhaul networks when a
UAV is deployed as flying base station. The optimization problem is formulated based on the
objective function that maximizes the ground user’s achievable sum rate by thoroughly optimizing
the UAV’s placement, spectrum allocation, and power control. The formulated problem is NP-hard
problem. To tackle its non-convexity, we propose decomposing the underlying problem into two
sub-problems, which are then solved alternatively in an iterative manner. Moreover, simulation
results are conducted under various settings to divulge the significance and outperformance of our
proposed methods over existing ones.
The second work scrutinizes the downlink transmission of UAV-enabled wireless backhaul networks
in which non-orthogonal multiple access (NOMA) is incorporated to boost up the massive
connectivity and high spectra efficiency. More precisely, our purpose is to maximize the worst
ground user’s achievable rate by optimizing bandwidth allocation, UAV’s power allocation and
placement. The formulated problem is non-convex and not easy to solve optimally. Consequently,
to deal with its complexity and non-convexity, we develop a path following procedure and generate
a less-onerous algorithm that is iteratively run till convergence. Finally, the numerical results
are depicted to demonstrate significant improvements of the proposed algorithms over baseline schemes.
주제어
#5G wireless communication and beyond unmanned aerial vehicle wireless backhaul spectrum allocation UAV placement non-orthogonal multiple access path following procedure
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