الفهرس 
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Abstract
This thesis addresses the problem of the limited resources scheduling in uplink networks utilizing unmanned aerial vehicles (UAVs) as aerial base stations serving Internet of Things (IoT) devices of different applications. UAVS are used to ensure line of sight (LoS) communication and maximum coverage, also can be used in the cases of emergency scenarios.
Non Orthogonal Multiple Access (NOMA) technique is exploited to increase the bandwidth efficiency, however the number of users allocated the same resource block (RB) is restricted to reduce the interference between the users allocated the same RB.
The resource allocation problem is formulated with the purpose of maximizing the system sum rate while meeting the restricted delay limits of the IoT applications. The problem is nonconvex and its solution is intractable so the problem is solved by splitting the main problem into two subproblems; where the proposed algorithm exploits the resource element structure of NOMA. Such that, the algorithm works in time domain to optimize the delay and in frequency domain to enhance the system sum rate. In addition, a power allocation algorithm is proposed to ensure fairness between users specially the cell-edge users and the centre users. Simulation results show the efficiency of the proposed algorithm to optimize the devices delay, rate, fairness and spectrum efficiency.
Key words:
internet of things; non-orthogonal multiple access; resource allocation; ultra reliable low latency communication; unmanned aerial vehicles; uplink transmission