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Model-aided deep learning method for path loss prediction in mobile communication systems at 2.6 GHz
Accurate channel models are essential to evaluate mobile communication system
performance and optimize coverage for existing deployments. The introduction of various …
performance and optimize coverage for existing deployments. The introduction of various …
Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …
speed, low-latency wireless connectivity, as well as the enabling of transformative …
From Simulators to Digital Twins for Enabling Emerging Cellular Networks: A Tutorial and Survey
Simulators are indispensable parts of the research and development necessary to advance
countless industries, including cellular networks. With simulators, the evaluation, analysis …
countless industries, including cellular networks. With simulators, the evaluation, analysis …
Determination of neural network parameters for path loss prediction in very high frequency wireless channel
It is very important to understand the input features and the neural network parameters
required for optimal path loss prediction in wireless communication channels. In this paper …
required for optimal path loss prediction in wireless communication channels. In this paper …
Kinetic, thermodynamic and artificial neural network prediction studies on co-pyrolysis of the agricultural waste and algae
Q Wang, R Wang, Z Li, Y Zhao, Q Cao, F Han, Y Gao - Renewable Energy, 2024 - Elsevier
The thermal decomposition behaviors of Maize straw (MS), algae (AL), and their blends
were studied in a thermogravimetric analyzer to evaluate the bio-energy potential in this …
were studied in a thermogravimetric analyzer to evaluate the bio-energy potential in this …
Path loss predictions in the VHF and UHF bands within urban environments: Experimental investigation of empirical, heuristics and geospatial models
Deep knowledge of how radio waves behave in a practical wireless channel is required for
effective planning and deployment of radio access networks in urban environments …
effective planning and deployment of radio access networks in urban environments …
Cellular network radio propagation modeling with deep convolutional neural networks
Radio propagation modeling and prediction is fundamental for modern cellular network
planning and optimization. Conventional radio propagation models fall into two categories …
planning and optimization. Conventional radio propagation models fall into two categories …
CNN-based mmWave path loss modeling for fixed wireless access in suburban scenarios
Path loss modeling of millimeter waves is regarded as one of the most challenging problems
in the design of the fifth-generation (5G) mobile communication networks due to the high …
in the design of the fifth-generation (5G) mobile communication networks due to the high …
Comparative analysis of major machine-learning-based path loss models for enclosed indoor channels
Unlimited access to information and data sharing wherever and at any time for anyone and
anything is a fundamental component of fifth-generation (5G) wireless communication and …
anything is a fundamental component of fifth-generation (5G) wireless communication and …
Millimeter wave path loss modeling for 5G communications using deep learning with dilated convolution and attention
An accurate and efficient path loss modeling method for millimeter wave communications
plays a significant role in the large-scale deployment of a fifth-generation (5G) mobile …
plays a significant role in the large-scale deployment of a fifth-generation (5G) mobile …