uavs employment in the next generation wireless communication systems
abstract
new network architectures of communication systems are required to support
and connect the next generation of wireless networks. this thesis focuses on unmanned aerial
vehicles (uavs) as integral components of future wireless networks. specifically, this
work addresses the optimization problem of association between the wireless access points
(waps) and uavs, aiming to maximize the total weighted sum rate. this optimization problem is subjected to fulfilling quality of service (qos), number of links, available
bandwidth, fairness, and coverage constraints. to address this challenge, a centralized
algorithm with reduced complexity is proposed for solving the association problem. the
results demonstrate that this algorithm’s solution offers excellent performance compared
to suboptimal alternatives and approach the exhaustive search technique while significantly reducing computational complexity.