RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network

S Zhang, A Wijesinghe, Z Ding - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Outdoor radio coverage map estimation is an important tool for network planning and
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …

Soft information-based localization for 5G networks and beyond

F Morselli, SM Razavi, MZ Win… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate location information is crucial for a variety of new verticals and use cases enabled
by 5th generation (5G) wireless networks. While existing localization techniques for cellular …

Machine learning for performance prediction in mobile cellular networks

J Riihijarvi, P Mahonen - IEEE Computational Intelligence …, 2018 - ieeexplore.ieee.org
In this paper, we discuss the application of machine learning techniques for performance
prediction problems in wireless networks. These problems often involve using existing …

UAV-aided radio map construction exploiting environment semantics

W Liu, J Chen - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
This paper constructs a full dimensional (6D) radio map to predict the channel gain between
any transmitter location and any receiver location based on received signal strength (RSS) …

Machine learning classifier approach with gaussian process, ensemble boosted trees, SVM, and linear regression for 5g signal coverage map**

A Gupta, K Ghanshala, RC Joshi - IJIMAI, 2021 - dialnet.unirioja.es
This article offers a thorough analysis of the machine learning classifiers approaches for the
collected Received Signal Strength Indicator (RSSI) samples which can be applied in …

Radio environment map based inter-cell interference coordination for massive-MIMO systems

WB Chikha, M Masson, Z Altman… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Massive-MIMO (M-MIMO) allows to schedule users with high gain narrow beams and to
reduce intra-cell inter-beam interference. Close to cell edge, users may experience high …

Radiomap inpainting for restricted areas based on propagation priority and depth map

S Zhang, T Yu, B Choi, F Ouyang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Providing rich and useful information regarding spectrum activities and propagation
channels, radiomaps characterize the detailed distribution of power spectral density (PSD) …

Kriging-based 3-d spectrum awareness for radio dynamic zones using aerial spectrum sensors

SJ Maeng, O Ozdemir, İ Güvenç… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Radio dynamic zones (RDZs) are geographical areas within which dedicated spectrum
resources are monitored and controlled to enable the development and testing of new …

A kriging-based radio environment map construction and channel estimation system in threatening environments

Y Gao, T Fujii - IEEE Access, 2023 - ieeexplore.ieee.org
Radio environment map (REM) provides detailed information on the coverage of the primary
terminals of wireless communication systems. The spatial estimation of the channel …

Station grou** mechanism using machine learning approach for IEEE 802.11 ah

MA Mondal, MI Hussain - Ad Hoc Networks, 2023 - Elsevier
Abstract IEEE 802.11 ah, also known as Wi-Fi HaLow, improves the scalability of the Internet
of Things (IoT) by connecting a large number of low-power devices. IEEE 802.11 ah has …