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RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network
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 …
resource management in modern Internet of Things (IoT) and cellular systems. A radio map …
Soft information-based localization for 5G networks and beyond
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 …
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 …
prediction problems in wireless networks. These problems often involve using existing …
UAV-aided radio map construction exploiting environment semantics
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) …
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 …
collected Received Signal Strength Indicator (RSSI) samples which can be applied in …
Radio environment map based inter-cell interference coordination for massive-MIMO systems
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 …
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
Providing rich and useful information regarding spectrum activities and propagation
channels, radiomaps characterize the detailed distribution of power spectral density (PSD) …
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
Radio dynamic zones (RDZs) are geographical areas within which dedicated spectrum
resources are monitored and controlled to enable the development and testing of new …
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 …
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 …
of Things (IoT) by connecting a large number of low-power devices. IEEE 802.11 ah has …