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Study optimizes power consumption in UAV-assisted cloud radio access networks, indicating effectiveness in reducing energy usage.
In this paper, we aim to minimize the total power of all the user equipments (UEs) by jointly optimizing user association, computation capacity, transmit power, and the location of UAVs in an unmanned aerial vehicles (UAVs) assisted cloud radio access network (C-RAN). In order to solve this non-convex problem, we use block coordinate descent (BCD) and successive convex approximation (SCA) to transform this problem into four tractable subproblems, and an effective algorithm by solving four subproblems iteratively. The simulation results demonstrate that the proposed algorithm can greatly reduce the total power consumption of UEs.
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Li et al. (2021) studied this question.
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