Indoor localization for IoT using adaptive feature selection: A cascaded machine learning approach
Evolving Internet-of-things applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by identifying …
tracking and positioning, for which the performance is significantly improved by identifying …
An adaptive and parameter-free recurrent neural structure for wireless channel prediction
Predicting channel state information (CSI) is a fundamental element in wireless
communications systems. An accurate CSI estimation and prediction is critical to the system …
communications systems. An accurate CSI estimation and prediction is critical to the system …
Indoor localization under limited measurements: A cross-environment joint semi-supervised and transfer learning approach
The development of highly accurate deep learning methods for indoor localization is often
hindered by the unavailability of sufficient data measurements in the desired environment to …
hindered by the unavailability of sufficient data measurements in the desired environment to …
Wireless Channel Prediction of GRU Based on Experience Replay and Snake Optimizer
Q Liu, P Wang, J Sun, R Li, Y Li - Sensors, 2023 - mdpi.com
Aiming at the problem of poor prediction accuracy of Channel State Information (CSI)
caused by fast time-varying channels in wireless communication systems, this paper …
caused by fast time-varying channels in wireless communication systems, this paper …
Wireless channel state prediction method based on improved adaptive and parameter-free recurrent neural structure
Q Liu, N Cao, M Li, Z Zhang, G Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Aiming at the problem of large error of channel state prediction caused by channel time-
varying characteristics in wireless communication system, propose a wireless channel state …
varying characteristics in wireless communication system, propose a wireless channel state …
Capacity Maximization of the 6G Networks Deploying IRS
M Mahbub, RM Shubair - arXiv preprint arXiv:2303.11807, 2023 - arxiv.org
The objective of the work is to improve the capacity of the micro cell, ie, enabling the micro
cell base station of a two-tier network to serve an increased number of devices. Therefore …
cell base station of a two-tier network to serve an increased number of devices. Therefore …
Sinr coverage enhancement of 6g uav-assisted networks deploying irs
M Mahbub, RM Shubair - arXiv preprint arXiv:2212.01657, 2022 - arxiv.org
The objective of the work is to enhance the signal-to-interference-plus-noise ratio (SINR)
coverage probability in UAV-assisted 6G wireless networks. Therefore, the work analyzed …
coverage probability in UAV-assisted 6G wireless networks. Therefore, the work analyzed …
Improving SINR Performance Deploying IRS in 6G Wireless Networks
M Mahbub, RM Shubair - arXiv preprint arXiv:2305.18309, 2023 - arxiv.org
Interactive reflecting surfaces (IRSs) are a remarkable technology that will be integrated into
6G wireless networks to enhance the electromagnetic propagation environment in a …
6G wireless networks to enhance the electromagnetic propagation environment in a …
Intelligent Reflecting Surfaces Positioning in 6G Networks
M Mahbub, RM Shubair - arXiv preprint arXiv:2303.08086, 2023 - arxiv.org
The work analyzed the positioning of IRS over the coverage region of micro cell to derive
optimal placement location to support cell-edge Internet of Things (IoT) devices with a …
optimal placement location to support cell-edge Internet of Things (IoT) devices with a …
Intelligent Reflecting Surfaces for the Enhancement of 6G Internet of Things
M Mahbub, RM Shubair - arXiv preprint arXiv:2207.07999, 2022 - arxiv.org
With the advancement of sensing technologies over the years, it has become critical to
ensure the seamless connectivity of the Internet of Things (IoT) gadgets. With the …
ensure the seamless connectivity of the Internet of Things (IoT) gadgets. With the …