Mònica Navarro

Binary Modulation on Conjugate-Reciprocal Zeros (MOCZ) with List Decoding for Unknown Channel Length

Stephan Pfletschinger, Christian Reich, Mònica Navarro

MOCZ (modulation on conjugate-reciprocal zeros) has been introduced as a non-coherent communication scheme for short packets over multi-path channels which does not require channel estimation at the receiver. In this paper, we combine MOCZ with state-of-the-art channel codes and address the problem …

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Use of advanced imaging tools for assessing the performance of novel therapeutic techniques for restoring vision

Mònica Navarro

(English) Studying vision restoration is paramount for addressing degenerative blinding diseases, which significantly impact quality of life and public health. With more than 230M people worldwide affected by moderate to severe vision loss, and an estimated increase in blindness from 38M to …

ADS-B as an Example for Frame Synchronization and Detection of Short Packets

Stephan Pfletschinger, Mònica Navarro

We study the relation between frame synchronization and packet detection by the example of ADS-B (Automatic Dependent Surveillance - Broadcast) from the receiver perspective. We present and compare three metrics for frame synchronization and apply them at a multiple of the symbol …

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On Noncoherent FSK Reception With Doppler Frequency Uncertainty for Space Communications

Jesús Gómez-Vilardebó, Xavier Mestre, Mònica Navarro, Jorge Quintanilla

This paper studies the mutual information for a general form of orthogonal M-ary frequency-shift keying modulations with non-coherent detection and Doppler frequency uncertainty at the receiver. The signal model includes as particular cases classical MFSK and special MFSK modulations, the later has …

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Learning Random Access Schemes for Massive Machine-Type Communication With MARL

Muhammad Awais Jadoon, Adriano Pastore, Mònica Navarro, Álvaro Valcarce

This paper investigates various multi-agent reinforcement learning (MARL) techniques for designing grant-free random access (RA) schemes suitable for low-complexity, low-power battery-operated devices in massive machine-type communication (mMTC). Previous studies on RA with MARL have shown limitations in terms of scalability and suitability …

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Capacity of Noncoherent FSK with Doppler Frequency Uncertainty

Jesús Gómez-Vilardebó, Xavier Mestre, Mònica Navarro, Jorge Quintanilla

This paper studies the capacity of orthogonal M-ary frequency-shift keying modulations with non-coherent detection and Doppler frequency uncertainty at the receiver. The optimal code rates that minimize the energy-per-bit to noise power spectral density ratio required for reliable communications are studied. In …

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Learning Random Access Schemes for Massive Machine-Type Communication with MARL

Muhammad Awais Jadoon, Adriano Pastore, Mònica Navarro, Álvaro Valcarce

In this paper, we explore various multi-agent reinforcement learning (MARL) techniques to design grant-free random access (RA) schemes for low-complexity, low-power battery operated devices in massive machine-type communication (mMTC) wireless networks. We use value decomposition networks (VDN) and QMIX algorithms with parameter …

Non-coherent Receivers for Low Data Rate Transmissions under Weak Solar Scintillation

Xavier Mestre, Jesús Gómez, Mònica Navarro, Juan Francisco Sevillano et autres

We study the performance of non-coherent reception of low data rate signals under solar scintillation effects. Two different types of waveform are characterized: conventional MFSK and a special version of MFSK in which the signalling tones are phase modulated. For both types …

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Non-Coherent Receiver Design for MFSK Modulations in Deep Space Missions

Jesús Gómez-Vilardebó, Xavier Mestre, Mònica Navarro, Juan Francisco Sevillano et autres

This work presents a non-coherent receiver architecture for coded MFSK transmissions in deep-space scenarios. First, we review the statistical characterization of the optimal (uncoded) detector output for both waveforms under consideration: conventional and special MFSK modulations. Based on the output statistics, we …

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Random Access Networks with Spatial Reuse

Adrián Agustín, Adriano Pastore, Mònica Navarro

Providing ultra-reliable, low-latency and massive access is a technical challenge that demands a redesign of current Media Access Control (MAC) layer in wireless cellular networks. This work focuses on studying the conventional slotted ALOHA protocol and ways to improve its efficiency with …

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

Muhammad Awais Jadoon, Adriano Pastore, Mònica Navarro

Grant-free random access (RA) techniques are suitable for machine-type communication (MTC) networks but they need to be adaptive to the MTC traffic, which is different from the human-type communication. Conventional RA protocols such as exponential backoff (EB) schemes for slotted-ALOHA suffer from …

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

Muhammad Awais Jadoon, Adriano Pastore, Mònica Navarro

Grant-free random access (RA) techniques are suitable for machine-type communication (MTC) networks but they need to be adaptive to the MTC traffic, which is different from the human-type communication. Conventional RA protocols such as exponential backoff (EB) schemes for slotted-ALOHA suffer from …