Papers nuevos sobre Señales y comunicaciones
104 papers nuevos sobre señales y comunicaciones en los últimos 7 días, dentro de Robótica e ingeniería. Acá están los 50 que Pipette considera más valiosos, con el resultado principal en palabras de sus autores.
Lo mejor de la semana
Single-RF-Chain Multiuser Semantic Communications via Metasurface Modulation
This paper proposes Semantic Prism, an MTS-enabled framework for concurrently transmitting independent semantic messages to multiple users.
PreprintUso en el mundo realSmartphone GNSS Booster: Centimeter-Level Pedestrian Positioning Using a Portable Signal Re-Radiator
Furthermore, in pedestrian experiments, the proposed booster enabled stable carrier phase integer ambiguity resolutions, achieving centimeter-level positioning using a smartphone.
Preprint con versión publicadaUso en el mundo realUntangling the Geometry and Speed for RF Sensing Spectrograms
In this paper, we establish a new foundation for physically interpretable RF sensing that disentangles reflector speed from geometry, jointly recovering the speed, geometry factor, relative amplitude, and width of each dominant Doppler ridge.
PreprintSecrets in Radio Waves: Towards Practical and Protocol-Agnostic PHY Information Hiding
In this work, we introduce a new PHY information hiding paradigm that differs fundamentally from the previous two categories of approaches.
PreprintAfirmaciones fuertes, leer con cuidadoUso en el mundo realAdversary-as-Agents: A Co-Evolutionary Agent-Based Threat-Modelling Framework for Wireless and Mobile Networks
The equilibrium is a rankable, feasibility-grounded threat model expressed through three structural metrics: degeneracy-weighted path robustness, trust-weighted functional substitutability, and robust degeneracy.
PreprintUso en el mundo realElectrodermal Activity (EDA) for Stress Detection: A Comprehensive Survey and Benchmark
Our results provide the first multi-dataset validation of cvxEDA, the default decomposition method, show that feature-based ML outperforms end-to-end (E2E) DL, and identify ecological validity as a key factor in cross-domain transfer.
PreprintUso en el mundo realEvolving Inspectable O-RAN Slicing xApps with LLMs
We use a large language model (LLM) to evolve slicing controllers as compact Python programs whose decision logic remains readable and editable after optimization.
PreprintUso en el mundo realLoRa Fluid Antenna Multiple Access
This paper advocates a new fluid antenna multiple access (FAMA) framework for LoRa, referred to as lora-FAMA, to provide spatial opportunities for LoRa multiuser communications.
PreprintUso en el mundo realPositioning a Movable Antenna Without CSI: A Kernelized Bandit Under Costly Movement
We prove that MoveUCB attains sublinear dynamic regret under the standard variation-budget condition of non-stationary bandits alone, with the physical parameters entering only through constants.
PreprintEvent-driven signal reconstruction through neuromorphic compressive sensing
Here, we propose a neuromorphic CS framework centred on a spike-driven learned iterative shrinkage-thresholding algorithm (S-LISTA).
PreprintFrom Ideal Motion to Flight-Executable Communications: LLM-Evolved Multi-UAV Deployment for Cell-Free Massive MIMO
Notably, when tested under FM execution, the FM-trained LERE policy achieves a 60.49% SE gain over its IM-trained counterpart, confirming the necessity of incorporating flight-control constraints into UAV-enabled CF-mMIMO optimization.
PreprintUso en el mundo realPre- and Post-Exercise Monitoring of Physiological Skin States in Sportsmen Using 77 GHz FMCW Radar and Wavelet Scattering Transform
The results establish a proof-of-concept for radar-based, edge deployable classification of post-exercise skin states, opening new avenues for non-contact physiological monitoring in sports science.
PreprintUso en el mundo realInformation in Polarization, Energy from Optical Power: Stokes-Orthogonal Inter-Satellite Links
Compared with ideal lossless power splitting, the proposed architecture avoids the conventional BER versus harvested power tradeoff and provides an analytical baseline for power neutral joint information and energy transfer in inter satellite optical links.
PreprintUso en el mundo realSensing While Communicating: Active Online Spectrum Cartography via Air-Ground Cooperation
To address these challenges, we propose an air-ground cooperative framework for active online spectrum cartography.
PreprintUso en el mundo realHolistic co-design of fibre-optic distributed acoustic sensing and coherent communication
Here, we propose a holistically co-designed sensing and communication (CSAC) framework that incorporates multi-level optimization: (i) a dual-function pilot signal that shares time and spectrum resources; (ii) a simplified system using a single transmitter to simultaneously generate multi-tone pilot and subcarrier communication signals; (iii) a point-to-multipoint (P2MP) network that distributes pilot signals for multi-user frequency synchronization and enhanced acoustic sensing response.
Revista con revisión por paresAfirmaciones fuertes, leer con cuidadoUso en el mundo realExact Factorisation and Fast Computation of Invertible Constant-Q Transforms
An exact factorisation combines spectral selection, conjugation, windowing, and reordering into a fixed map between one packed Fourier transform and the shorter band inverse transforms.
PreprintUso en el mundo realPhysical-Layer Sensing Privacy via Constellation Shaping for OFDM-ISAC Systems: Theory, Design, and Experiments
In this paper, we develop a sensing-privacy-enhancing geometric constellation shaping (GCS) framework for OFDM-ISAC systems.
PreprintUso en el mundo realShape Adaptive Reconfigurable Holographic Surfaces
This paper introduces shape-adaptive RHSs, which dynamically change surface geometry to provide extra spatial degrees of freedom.
PreprintAfirmaciones fuertes, leer con cuidadoUso en el mundo realDistributed ISAC-Enabled Multimodal Recovery of Missing 2-D LiDAR Measurements
This paper presents a distributed integrated sensing and communication (ISAC) framework that uses directional 60-GHz beam-training measurements from multiple receivers to assist in the recovery of missing regions in 2-D LiDAR scans.
PreprintUso en el mundo realCurvature-Domain Wireless Communications: Gauge-Fixed Signal Spaces, Fredholm Capacity, and Differentiation-Limited Scaling for Continuous Apertures
We develop a curvature-domain formulation for continuous-aperture signaling, in which the transmit phase is represented through its second spatial derivative after quotienting out affine piston-and-tilt gauge freedom.
PreprintAutomated feature-region selection for soft-sensor development from spectral-like measurements
Here, we introduce an automated feature-region selection framework that identifies a parsimonious set of contiguous regions while preserving channel ordering.
PreprintUso en el mundo realSecure RIS-Aided Multicasting: Globally Optimal Beam Management and Discrete-Phase RIS Configuration
This yields a complex, nonconvex mixed-integer nonlinear program (MINLP), which we equivalently reformulate into a tractable mixed-integer quadratically constrained program (MIQCP) solvable to global optimality.
Preprint con versión publicadaUso en el mundo realHierarchical Edge Computing in SAGSIN: Multi-Layer Network Architecture and Multi-Level Information Processing
This article presents an edge-computing paradigm for SAGSIN built on two coupled ideas: a Multi-Layer Network Architecture (MLNA) that organizes the underwater, surface, aerial, and ground/space tiers, and Multi-Level Information Processing (MLIP) that progressively refines data from raw measurements toward compact, event-level representations as they ascend the network.
PreprintUso en el mundo realWave-Robust Passive AUV Localization Using FP-MUSIC
Evaluations across simulated sea states demonstrate that FP-MUSIC substantially reduces localization error relative to uncompensated methods and sustains robust 3-D tracking and vehicle orientation estimation under wave-induced motion.
PreprintUso en el mundo realLiteSC: Lightweight Semantic Communication for Robust Wireless Telesurgical Video Transmission
We propose LiteSC, a lightweight semantic communication framework combining a frozen pretrained extractor, a compact joint source--channel coding pair, and a receiver-adapted surgical renderer.
PreprintUso en el mundo realPost-Hoc Conformal Prediction for Reliable Wireless Communications
This paper develops a formal statistical framework for the data-driven selection of prediction sets that provides a reliable estimate of the resulting miscoverage probability.
PreprintUso en el mundo realA Stochastic Doppler Sensing Framework for Range-Resolved Bidirectional Particle Dynamics in a Bubbling Fluidized Bed at 60 GHz
This work develops a range-resolved statistical Doppler measurement that reveals bidirectional particle motion and determines when multiple local velocity contributions are distinguishable.
PreprintEvent-Based Estimation for Detrusor Pressure Using a Single Bladder Catheter Augmented with Abdominal Electromyography
The scoring metric, along with correlation analysis, confirmed accuracy of estimated Pdet with scores ranging from 85% to 95% with median at 93%.
PreprintAfirmaciones fuertes, leer con cuidadoUso en el mundo realMIMO-OFDM AI Receiver Based on Incrementally Conditioned Diffusion with Soft Decision
In this paper, we propose Diff-Rx, an incrementally conditioned diffusion-based receiver with co-designed data detection and channel estimation, for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems.
PreprintUso en el mundo realUnlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models
In this paper, we propose an adaptive and robust learning framework that leverages a mixture-of-experts (MoE) architecture to achieve cross-scenario physical layer security guarantee.
PreprintUso en el mundo realMultimodal Learning for Beamforming Using Camera, LiDAR, and Radio-Frequency Pilots
This paper proposes a multimodal learning framework that integrates camera images, LiDAR point clouds, and radio-frequency (RF) pilots to realize multi-user multiple-input single-output (MU-MISO) beamforming optimization in mixed line-of-sight (LoS) and non-line-of-sight (NLoS) environments.
PreprintUso en el mundo realStructured Pose-Conditioned Flow Matching for Generative 5G CSI Augmentation
To address this limitation, we propose StructFlow-HPR, a structured pose-conditioned flow matching framework for generative CSI augmentation.
PreprintUso en el mundo realEnhancing 5G NTN VSAT RACH in GNSS-Denied environments
To address this vulnerability, this paper introduces a novel single-satellite positioning framework designed for higher-frequency (Ku- or Ka-band) 5G NTN very small aperture terminals (VSATs) equipped with a phased-array antenna.
PreprintUso en el mundo realOnline Movable Antenna Repositioning Under Movement Delay and a Long-Term Energy Budget
Using the Lyapunov drift-plus-penalty framework, we convert the long-term problem into per-slot problems and solve each by a proximal minorization-maximization algorithm that requires no channel statistics and keeps an antenna stationary whenever its relocation is not worth the energy.
PreprintUso en el mundo realFM-OFDM: A Constant-Envelope Sensing Waveform with Phase-Differencing Receiver Processing
Consequently, under equal occupied bandwidth and transmit power, frame-level integration reverses the single-symbol performance ordering and provides FM-OFDM with approximately 20 dB of additional dynamic range for weak-target detection.
PreprintFull-Frame OFDM-ISAC: Joint Constellation, Pilot, and Receive-Filter Design
To address this gap, we propose a joint design of the constellation, the pilot placement and power split, and the mismatched receive filter for full-frame OFDM-ISAC systems, which minimizes the residual interference inside declared regions of interest (ROIs) under a communication rate constraint.
PreprintUso en el mundo realSubspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots
Quantized probabilistic PCA is the only tested method that reduces the spurious rate (20.6% to 18.3%) while preserving true peak detection and keeping noise floor RMSE below .
PreprintUso en el mundo realFrom Least Squares to Deep Learning: Benchmarking Indoor Positioning on the HYMN Multi-Technology Dataset
On fused input the grid filter is competitive with deep learning on median error, while the ResNet's advantage concentrates on the upper tail.
PreprintAdaptive Predictive Sampling and Communication for Real-time Monitoring
We propose an adaptive predictive sampling and communication framework for real-time remote monitoring over packet-erasure channels.
PreprintLUNA: Luneburg-Lens-Aided Reconfigurable Array for 6G-and-Advanced Wireless Networks
This article introduces the LUneburg-lens-aided recoNfigurable Array (LUNA), an antenna architecture that unifies multiple-input multiple-output (MIMO) and network-controlled repeater (NCR) functionalities in the Luneburg lens-enabled hardware platform.
PreprintUso en el mundo realFiber-Topology-Assisted Indoor Positioning Under UWB Degradation with Fixed-Lag Factor Graphs
Under complete UWB loss, FTALoc-FGO reduces the causal outage RMSE by 32.6% and 66.4% for single- and dual-layer routes, respectively, relative to robust UWB-only FGO.
PreprintUso en el mundo realBeyond RSRP Coverage: UAV Serviceability in Interference-Limited Urban 5G NR Networks
Results averaged over three independent simulation realizations show that RSRP-based aerial coverage does not necessarily translate into mission-level radio serviceability, motivating trajectory-aware, multi-key performance metric (KPM) aerial radio planning.
PreprintUso en el mundo realSARAMS: Split-Aware Joint Resource Allocation for Multi-Monostatic Sensing
We propose the Split-Aware Joint Resource Allocation for Multi-Monostatic Sensing~(SARAMS) algorithm, which minimizes the worst-case multi-target squared position error bound~(SPEB) by jointly optimizing per-BS power, bandwidth, and observation time under fronthaul, computational, and power constraints.
PreprintUso en el mundo realAI-Enabled Wireless Propagation Modeling and Radio Environment Maps for 5G Aerial Wireless Networks
To model such complexities, often exacerbated by sparse real-world data, this work proposes a dual-stage radio environment map (REM) framework.
PreprintUso en el mundo realLearning to Maximize Energy Efficiency in 6G in-X Subnetworks
Extensive simulations in industrial factory settings with 3GPP channel models demonstrate that the GNN effectively learns interference-aware power allocation policies, significantly outperforming maximum power transmission and existing GNN based power control solution.
PreprintUso en el mundo realPrediction-Aware Structured Resource Control for Partitioned IRS-Assisted Mobile IoT Uplinks With Semi-Blind Cascaded-Channel Acquisition
This investigation develops a unified prediction-aware deterministic framework for partitioned IRS-assisted massive multiple-input multiple-output (mMIMO) uplinks.
PreprintUso en el mundo realDynamic Sensor Pairing for TDOA-Based Target Tracking via mixed-integer Second-Order Cone Programming
We propose a sensor pairing method for online target tracking based on time-difference-of-arrival (TDOA) measurements through a sensor network.
PreprintBio-inspired efficient cyclostationary analysis in machine and underwater acoustic recordings
The results demonstrate reliable recovery of characteristic cyclic components while substantially reducing the computational burden of conventional cyclostationary analysis.
PreprintUso en el mundo realDesign Space Exploration of In-Memory Computing Implementations for Discrete Fourier Transform
Tailored to the stringent performance requirements of a DFT accelerator for 5G orthogonal frequency-division multiplexing (OFDM) systems, we propose a novel mapping scheme that reduces energy consumption per computation by 53% compared with conventional mapping techniques.
PreprintUso en el mundo realDigital Twin Enhanced Channel Twin for AI-Native CSI Inference: Generalizability and Scalability
Simulation results demonstrate that the proposed architecture substantially outperforms the baseline interpolators, achieves robust spatial transferability, and lowers the bit error rate through the unified neural receiver.
PreprintAfirmaciones fuertes, leer con cuidadoUso en el mundo real