5 papers
HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention
Miguel Camelo Botero, Esra Aycan Beyazit, Nina Slamnik-Kriještorac +1
Accurate channel estimation is critical for high-performance Orthogonal Frequency-Division Multiplexing systems such as 5G New Radio, particularly under low signal-to-noise ratio a…
LITE: Lightweight Channel Gain Estimation with Reduced X-Haul CSI Signaling in O-RAN
David Goez, Marco Piazzola, Giulia Costa +6
Cell-Free Massive Multiple-Input Multiple-Output (CF-MaMIMO) in Open Radio Access Network (O-RAN) promises high spectral efficiency but is limited by frequent Channel State Informa…
HAPS-RIS-assisted IoT Networks for Disaster Recovery and Emergency Response: Architecture, Application Scenarios, and Open Challenges
Bilal Karaman, Ilhan Basturk, Engin Zeydan +4
Reliable and resilient communication is essential for disaster recovery and emergency response, yet terrestrial infrastructure often fails during large-scale natural disasters. Thi…
Solutions for Sustainable and Resilient Communication Infrastructure in Disaster Relief and Management Scenarios
Bilal Karaman, Ilhan Basturk, Sezai Taskin +6
As natural disasters become more frequent and severe, ensuring a resilient communications infrastructure is of paramount importance for effective disaster response and recovery. Th…
On-Demand HAPS-Assisted Communication System for Public Safety in Emergency and Disaster Response
Bilal Karaman, Ilhan BaÅtürk, Ferdi Kara +5
Natural disasters often disrupt communication networks and severely hamper emergency response and disaster management. Existing solutions, such as portable communication units and…