TK995 : Resource allocation and trajectory design in unmanned aerial vehicles (UAV) - baxsed IoT networks considering satellite lixnks
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2023
Authors:
‌Abdollah Salehnia [Author], Mohammad Reza Javan [Supervisor]
Abstarct: One of the main problems of the new generation of telecommunication is the lack of frequency spectrum in telecommunication networks. The use of non-orthogonal multiple access methods (NOMA) is one of the proposed useful solutions in this regard. Compared to other orthogonal multiple access methods, this technique can significantly improve the spectral efficiency of telecommunication networks. On the other hand, nowadays, due to the necessity of using satellite telecommunication systems, the need to use aerial baxse stations (UAVs) is felt more than in the past. In this research, we consider a telecommunication network in which several sensors are connected with several UAVs. In the proposed system model, the information obtained by the sensors is sent to the drone and then the drones send it to the desired satellite. In our proposed system model, in each sub-channel, sensors communicate with UAVs with a non-orthogonal multiple access scheme. The issue we will pursue here is the problem of resource allocation in order to maximize the total available rate of sensors. According to the considered system model, the resource allocation problem is formulated as a non-convex optimization problem. To solve this challenge, we will divide the main problem into three sub-problems, then solutions will be proposed to solve each sub-problem. which is a non-convex problem and is transformed into a convex optimization problem by the convex difference (D.C.) method. Then, baxsed on the conventional CVX method in MATLAB software, we solve it numerically. The simulation results show that the proposed methods and approaches have been able to improve the network performance.  
Keywords:
#non-orthogonal multiple access #UAV #resource allocation #trajectory #convex optimization Keeping place: Central Library of Shahrood University
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