Energy-Efficient User Clustering for UAV-Enabled Wireless Networks ...
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In this paper, we propose an energy-efficient user clustering mechanism based on Gaussian mixture models (GMM) using a modified Expected-Maximization (EM) ...
Jul 2, 2022 · The proposed algorithm improves the energy efficiency of the system by 25% and link reliability by 18.3% compared to other baseline methods. I.
This paper proposes an energy-efficient user clustering mechanism based on Gaussian mixture models (GMM) using a modified Expected-Maximization (EM) ...
Jul 2, 2022 · The algorithm is intended to provide the initial user clustering and drone deployment upon which additional mechanisms can be employed to ...
TL;DR: In this paper, the authors proposed an energy-efficient user clustering mechanism based on Gaussian mixture models (GMM) using a modified ...
Energy-Efficient User Clustering for UAV-Enabled Wireless Networks Using EM Algorithm. S. Janji, and A. Kliks. SoftCOM, page 1-6. IEEE, (2021 ).
This paper investigates nonorthogonal multiple access (NOMA)-based WPT-charging UAV communication networks, where a multi-antenna base station (BS) transmits ...
Jul 16, 2019 · In this paper, we consider the sum power minimization problem via jointly optimizing user association, power control, computation capacity allocation, and ...
Missing: EM | Show results with:EM
By applying the successive convex optimization technique, an efficient iterative algorithm is proposed to find a sub-optimal solution. Numerical results show ...
Missing: EM | Show results with:EM
Jan 15, 2020 · An energy efficiency optimization algorithm based on a three-layer computation offloading strategy is proposed in this paper
Missing: EM | Show results with:EM