Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing

J Xu, B Ai, L Wu, Y Zhang, W Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a promising technology to enhance the
performance of mobile edge computing (MEC) network. Nevertheless, the RIS-enabled MEC …

Image enhancement based on optimized 2D histogram modification by krill herd algorithm

M Golabian, A Mahmoodzadeh, H Agahi - Evolving Systems, 2023 - Springer
Despite recent advances in image enhancement, it is difficult to strike a balance between
improving contrast and brightness in all types of images. This paper proposes a new …

Multi-agent based optimal UAV deployment for throughput maximization in 5 G communications

FM Baghnoi, J Jamali, M Taghizadeh, MH Fatehi - Wireless Networks, 2024 - Springer
Unmanned aerial vehicle (UAV)-mounted base station is an emerging technology to provide
controlled wireless communication for ground users. The high mobility of the UAV adds …

Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach

MT Dabiri, M Hasna, N Zorba… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
In this paper, a dynamic unmanned aerial vehicle (UAV)-based heterogeneous network
(HetNet) equipped with directional terahertz (THz) antennas is studied to solve the problem …

Intelligent AP Control and Computation Offloading for Cell-Free Massive MIMO MEC Networks

H Suh, S Kang, T Hwang - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In this work, we consider a cell-free massive multiple-input multiple-output (CF-mMIMO)-
enabled mobile edge computing (MEC) network. To save the network energy consumption …

DRL-Based AP Switch On/Off Scheme for Cell-Free Massive MIMO MEC Networks

H Suh, J Oh, S Kang, T Hwang - 2023 14th International …, 2023 - ieeexplore.ieee.org
In this paper, we consider a cell-free massive multiple-intput multiple-output (MIMO)-enabled
mobile edge computing (MEC) network where AP switch on/off method is adopted for energy …

A New Approach in Epilepsy Diagnosis using Discrete Wavelet Transformation and Analysis of Variance

T Iloon, R Barati, H Azad - Signal Processing and Renewable Energy, 2023 - spre.stb.iau.ir
Epilepsy is a chronic disorder and outbreak of brain function, caused by the abnormal and
intermittent electric discharge of brain neurons. Electroencephalogram signals represent …