activity
20142025
most citedAnalytical Modeling of Interference Aware Power Control for the Uplink of Heterogeneous Cellular Networks

44 citations · 61 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IT2025

CFO-Robust Detection for 5G PRACH under Fading Channels: Analytical Modeling and Performance Evaluation

Daniel Alarcón-Martín, Mari Carmen Aguayo-Torres, Francisco J. Martín-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…

eess.SP2025

Deep Learning-Based CSI Prediction Framework for Channel Aging Mitigation in TDD 5G Systems

Francisco Díaz-Ruiz, Francisco J. Martín-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…

cs.IT2024

Optimizing MIMO Efficiency in 5G through Precoding Matrix Techniques

Francisco Díaz-Ruiz, Francisco J. Martín-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…

cs.IT2024

Aging-Resistant Wideband Precoding in 5G and Beyond Using 3D Convolutional Neural Networks

Alejandro Villena-Rodriguez, Francisco J. Martín-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…

cs.IT2022

Analysis of the Outage Probability of Ground-Based Relaying for Satellite Systems

Hadi Hashemi, Beatriz Soret, M. Carmen Aguayo-Torres

This paper investigates the theoretical basis for using ground relaying in multi-antenna satellites exposed to blocking situations. Inactive and unobstructed User Equipments (UEs)…

cs.IT2022★ 2 cited

Latency Fairness Optimization on Wireless Networks through Deep Reinforcement Learning

M. López-Sánchez, A. Villena-Rodríguez, G. Gómez +2

In this paper, we propose a novel deep reinforcement learning framework to maximize user fairness in terms of delay. To this end, we devise a new version of the modified largest we…

cs.IT2017

On Muting Mobile Terminals for Uplink Interference Mitigation in HetNets -- System-Level Analysis via Stochastic Geometry

F. J. Martin-Vega, M. C. Aguayo-Torres, G. Gomez +1

We investigate the performance of a scheduling algorithm where the Mobile Terminals (MTs) may be turned off if they cause a level of interference greater than a given threshold. Th…

cs.IT2016

Geo-Location Based Access for Vehicular Communications: Analysis and Optimization via Stochastic Geometry

Francisco J. Martin-Vega, Beatriz Soret, Mari Carmen Aguayo-Torres +2

Delivery of broadcast messages among vehicles for safety purposes, which is known as one of the key ingredients of Intelligent Transportation Systems (ITS), requires an efficient M…

cs.IT2016★ 44 cited

Analytical Modeling of Interference Aware Power Control for the Uplink of Heterogeneous Cellular Networks

Francisco J. Martin-Vega, Gerardo Gomez, Mari Carmen Aguayo-Torres +1

Inter-cell interference is one of the main limiting factors in current Heterogeneous Cellular Networks (HCNs). Uplink Fractional Power Control (FPC) is a well known method that aim…

cs.IT2014★ 15 cited

Multi-User Coverage Probability of Uplink Cellular Systems: a Stochastic Geometry Approach

F. Javier Martin-Vega, F. Javier Lopez-Martinez, Gerardo Gomez +1

We analyze the coverage probability of multi-user uplink cellular networks with fractional power control. We use a stochastic geometry approach where the mobile users are distribut…