Generative ai in mobile networks: a survey
This paper provides a comprehensive review of recent challenges and results in the field of
generative AI with application to mobile telecommunications networks. The objective is to …
generative AI with application to mobile telecommunications networks. The objective is to …
Generative ai for physical layer communications: A survey
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
Signal processing over multilayer graphs: Theoretical foundations and practical applications
Signal processing over single-layer graphs has become a mainstream tool owing to its
power in revealing obscure underlying structures within data signals. However, many real …
power in revealing obscure underlying structures within data signals. However, many real …
UAV-Assisted Active Sparse Crowdsensing for Ground Signal Map Construction Based on 3-D Spatial-Temporal Correlation
C Liu, K Zhu, C Tao, B Chen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has been applied for signal map construction in smart city.
MCS leverages the mobility of users and the sensors embedded in mobile phones to collect …
MCS leverages the mobility of users and the sensors embedded in mobile phones to collect …
IRGAN: CGAN-based Indoor Radio Map Prediction
CT Cisse, O Baala, V Guillet, F Spies… - 2023 IFIP Networking …, 2023 - ieeexplore.ieee.org
Radio map or radio coverage prediction in indoor and outdoor remains a challenge of great
interest due to the large number of applications it allows. Many techniques such as data …
interest due to the large number of applications it allows. Many techniques such as data …
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) …
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
X Li, S Zhang, H Li, X Li, L Xu, H Xu, H Mei… - arXiv preprint arXiv …, 2024 - arxiv.org
Multi-band radiomap reconstruction (MB-RMR) is a key component in wireless
communications for tasks such as spectrum management and network planning. However …
communications for tasks such as spectrum management and network planning. However …
Map-Driven Mmwave Link Quality Prediction With Spatial-Temporal Mobility Awareness
The susceptibility of millimeter-wave (mmWave) links to blockages poses challenges for
maintaining consistent high-rate performance. By predicting link quality in advance at …
maintaining consistent high-rate performance. By predicting link quality in advance at …
ACT-GAN: Radio map construction based on generative adversarial networks with ACT blocks
C Qi, Y Jingjing, H Ming, Z Qiang - arXiv preprint arXiv:2401.08976, 2024 - arxiv.org
The radio map, serving as a visual representation of electromagnetic spatial characteristics,
plays a pivotal role in assessment of wireless communication networks and radio monitoring …
plays a pivotal role in assessment of wireless communication networks and radio monitoring …
TiRE-GAN: Task-Incentivized Generative Learning Models for Radiomap Estimation with Radio Propagation Model
Y Zhou, A Wijesinghe, S Zhang, Z Ding - arXiv preprint arXiv:2405.02567, 2024 - arxiv.org
Enriching geometric information on radio frequency (RF) signal power distribution in
wireless communication systems, the radiomap has become an essential tool for resource …
wireless communication systems, the radiomap has become an essential tool for resource …