b'CTTC'

research

∙ 03/20/2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

As wireless standards evolve, more complex functionalities are introduce...

Francesc Wilhelmi, et al. ∙

research

∙ 12/29/2017

Compute--Forward Multiple Access (CFMA): Practical Code Design

We present a practical strategy that aims to attain rate points on the d...

Erixhen Sula, et al. ∙

research

∙ 01/30/2018

Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors

In this paper, we study wireless networked control systems in which the ...

Miguel Calvo-Fullana, et al. ∙

research

∙ 03/12/2018

Listen Before Receive for Coexistence in Unlicensed mmWave Bands

Listen-Before-Talk (LBT) has been adopted as the spectrum sharing techni...

Sandra Lagen, et al. ∙

research

∙ 03/20/2018

Dual Polarized Modulation and Receivers for Mobile Communications in Urban Areas

Achieving an increase in the spectral efficiency (SE) has always been a ...

Pol Henarejos, et al. ∙

research

∙ 03/20/2018

NOMA Assisted Joint Broadcast and Multicast Transmission in 5G Networks

In this paper, we employ the non-orthogonal multiple access (NOMA) techn...

Pol Henarejos, et al. ∙

research

∙ 03/20/2018

Advanced Signal Processing Techniques for Fixed and Mobile Satellite Communications

Enabling ultra fast systems has been widely investigated during recent d...

Pol Henarejos, et al. ∙

research

∙ 05/30/2018

Optimal Placement of Baseband Functions for Energy Harvesting Virtual Small Cells

Flexible functional split in Cloud Radio Access Network (CRAN) greatly o...

Dagnachew A. Temesgene, et al. ∙

research

∙ 07/25/2018

Channel Dependent Mutual Information in Index Modulations

Mutual Information is the metric that is used to perform link adaptation...

Pol Henarejos, et al. ∙

research

∙ 09/05/2018

Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks

Reliability and latency challenges in future mixed sub-6 GHz/millimeter ...

Hatim Chergui, et al. ∙

research

∙ 09/27/2018

New Radio beam-based Access to Unlicensed Spectrum: Design Challenges and Solutions

Licensed-Assisted Access (LAA) enabled LTE operators to access unlicense...

Sandra Lagen, et al. ∙

research

∙ 01/10/2019

Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding

Consider a receiver in a multi-user network that wishes to decode severa...

Sung Hoon Lim, et al. ∙

research

∙ 06/07/2019

Deep Learning For Experimental Hybrid Terrestrial and Satellite Interference Management

Interference Management is a vast topic present in many disciplines. The...

Pol Henarejos, et al. ∙

research

∙ 06/10/2019

Non-Coherent Rate Splitting for the MISO BC with Magnitude CSIT

A rate splitting based scheme is proposed to operate a broadcast setting...

Carlos Mosquera, et al. ∙

research

∙ 01/14/2020

NR-U and WiGig Coexistence in 60 GHz Bands

In December 2019, the 3GPP defined the road-map for Release-17, which in...

Natale Patriciello, et al. ∙

research

∙ 01/28/2020

New Radio Physical Layer Abstraction for System-Level Simulations of 5G Networks

A physical layer (PHY) abstraction model estimates the PHY performance i...

Sandra Lagen, et al. ∙

research

∙ 06/11/2020

Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks

In this paper, we discuss a handover management scheme for Next Generati...

Zoraze Ali, et al. ∙

research

∙ 07/09/2020

NOMA-Enabled Multi-Beam Satellite Systems: Joint Optimization to Overcome Offered-Requested Data Mismatches

Non-Orthogonal Multiple Access (NOMA) has potentials to improve the perf...

Anyue Wang, et al. ∙

research

∙ 07/15/2020

Decoding 5G-NR Communications via Deep Learning

Upcoming modern communications are based on 5G specifications and aim at...

Pol Henarejos, et al. ∙

research

∙ 07/17/2020

On the frequency domain detection of high dimensional time series

In this paper, we address the problem of detection, in the frequency dom...

A Rosuel, et al. ∙

research

∙ 08/23/2021

Exclusive Group Lasso for Structured Variable Selection

A structured variable selection problem is considered in which the covar...

David Gregoratti, et al. ∙

research

∙ 10/13/2021

Joint Optimization of Beam-Hopping Design and NOMA-Assisted Transmission for Flexible Satellite Systems

Next-generation satellite systems require more flexibility in resource m...

Anyue Wang, et al. ∙

research

∙ 10/18/2021

Model-Based Reinforcement Learning Framework of Online Network Resource Allocation

Online Network Resource Allocation (ONRA) for service provisioning is a ...

Bahador Bakhshi, et al. ∙

research

∙ 11/15/2021

Near Optimal VNF Placement in Edge-Enabled 6G Networks

Softwarization and virtualization are key concepts for emerging industri...

Carlos Ruiz De Mendoza, et al. ∙

research

∙ 12/01/2021

TXOP sharing with Coordinated Spatial Reuse in Multi-AP Cooperative IEEE 802.11be WLANs

IEEE 802.11be networks (aka Wi-Fi 7) will have to cope with new bandwidt...

David Nunez, et al. ∙

research

∙ 12/13/2021

Post-Quantum Era in V2X Security: Convergence of Orchestration and Parallel Computation

Along with the potential emergence of quantum computing, safety and secu...

Engin Zeydan, et al. ∙

research

∙ 12/15/2021

Blockchain-enabled Server-less Federated Learning

Motivated by the heterogeneous nature of devices participating in large-...

Francesc Wilhelmi, et al. ∙

research

∙ 12/24/2021

Multi-Provider NFV Network Service Delegation via Average Reward Reinforcement Learning

In multi-provider 5G/6G networks, service delegation enables administrat...

Bahador Bakhshi, et al. ∙

research

∙ 01/22/2022

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing

To harness the full potential of beyond 5G (B5G) communication systems, ...

Farhad Rezazadeh, et al. ∙

research

∙ 01/22/2022

A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control

Artificial intelligence (AI)-driven zero-touch massive network slicing i...

Farhad Rezazadeh, et al. ∙

research

∙ 01/24/2022

Deep Reinforcement Learning for Random Access in Machine-Type Communication

Random access (RA) schemes are a topic of high interest in machine-type ...

Muhammad Awais Jadoon, et al. ∙

research

∙ 02/08/2022

ns-3 and 5G-LENA extensions to support MIMO

MIMO spatial multiplexing is an essential feature to increase the commun...

Biljana Bojovic, et al. ∙

research

∙ 05/04/2022

Collision Resolution with Deep Reinforcement Learning for Random Access in Machine-Type Communication

Grant-free random access (RA) techniques are suitable for machine-type c...

Muhammad Awais Jadoon, et al. ∙

research

∙ 05/17/2022

Fronthaul Compression Control for shared Fronthaul Access Networks

There is a widely held belief that future Radio Access Network (RAN) arc...

Sandra Lagen, et al. ∙

research

∙ 05/20/2022

On the Decentralization of Blockchain-enabled Asynchronous Federated Learning

Federated learning (FL), thanks in part to the emergence of the edge com...

Francesc Wilhelmi, et al. ∙

research

∙ 07/25/2022

Cloud-native 5G experimental platform with over-the-air transmissions and end-to-end monitoring

5G represents a revolutionary shift with respect to previous generations...

Sergio Barrachina-Muñoz, et al. ∙

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