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.