5 papers
CFO-Robust Detection for 5G PRACH under Fading Channels: Analytical Modeling and Performance Evaluation
Daniel Alarcón-MartÃn, Mari Carmen Aguayo-Torres, Francisco J. MartÃn-Vega +1
The Physical Random Access Channel (PRACH) is essential for initial access and synchronization in both 5G and future 6G networks; however, its detection is highly sensitive to impa…
CSI Prediction Frameworks for Enhanced 5G Link Adaptation: Performance-Complexity Trade-offs
Francisco DÃaz-Ruiz, Francisco J. MartÃn-Vega, Jose A. Cortés +2
Accurate and timely channel state information (CSI) is fundamental for efficient link adaptation. However, challenges such as channel aging, user mobility, and feedback delays sign…
Deep Learning-Based CSI Prediction Framework for Channel Aging Mitigation in TDD 5G Systems
Francisco DÃaz-Ruiz, Francisco J. MartÃn-Vega, José Antonio Cortés +2
Time division duplexing (TDD) has become the dominant duplexing mode in 5G and beyond due to its ability to exploit channel reciprocity for efficient downlink channel state informa…
Optimizing MIMO Efficiency in 5G through Precoding Matrix Techniques
Francisco DÃaz-Ruiz, Francisco J. MartÃn-Vega, Gerardo Gómez +1
Multiple-Input Multiple-Output (MIMO) systems play a crucial role in fifth-generation (5G) mobile communications, primarily achieved through the utilization of precoding matrix tec…
Aging-Resistant Wideband Precoding in 5G and Beyond Using 3D Convolutional Neural Networks
Alejandro Villena-Rodriguez, Francisco J. MartÃn-Vega, Gerardo Gómez +2
To meet the ever-increasing demand for higher data rates, 5G and 6G technologies are shifting transceivers to higher carrier frequencies, to support wider bandwidths and more anten…