:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dahal, Madan, Vaezi, Mojtaba
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	https://arxiv.org/abs/2501.15735
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interference-Aware Super-Constellation Design for NOMA
by: Vaezi, Mojtaba, et al.
Published: (2025)

Deep Autoencoder-Based Constellation Design in Multiple Access Channels
by: Gorelenkov, Stepan, et al.
Published: (2025)

SINR-Aware Deep Reinforcement Learning for Distributed Dynamic Channel Allocation in Cognitive Interference Networks
by: Cohen, Yaniv, et al.
Published: (2024)

Multi-Objective Reinforcement Learning for Cognitive Radar Resource Management
by: Lu, Ziyang, et al.
Published: (2025)

Graph Representation Learning for Contention and Interference Management in Wireless Networks
by: Gu, Zhouyou, et al.
Published: (2024)

Prompt-Assisted Semantic Interference Cancellation on Moderate Interference Channels
by: Meng, Zian, et al.
Published: (2024)

A Reinforcement Learning Framework for Resource Allocation in Uplink Carrier Aggregation in the Presence of Self Interference
by: Bodempudi, Jaswanth, et al.
Published: (2025)

Applied AI-Enhanced RF Interference Rejection
by: Jain, Rahul, et al.
Published: (2026)

Reinforcement Learning for Enhancing Sensing Estimation in Bistatic ISAC Systems with UAV Swarms
by: Atsu, Obed Morrison, et al.
Published: (2025)

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)

Radio Resource Management and Path Planning in Intelligent Transportation Systems via Reinforcement Learning for Environmental Sustainability
by: Norouzi, S., et al.
Published: (2024)

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
by: Kose, Abdulkadir, et al.
Published: (2024)

Graph Transfer Learning via Shared Latent Geometry: Theory and Applications
by: Wu, Tong, et al.
Published: (2026)

Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models
by: An, Yang, et al.
Published: (2024)

Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters
by: Thornton, Charles E., et al.
Published: (2025)

RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation
by: Zhang, Ziang, et al.
Published: (2024)

Analysis of Impulsive Interference in Digital Audio Broadcasting Systems in Electric Vehicles
by: Chen, Chin-Hung, et al.
Published: (2024)

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar
by: Oswald, Christian, et al.
Published: (2023)

Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks
by: Mamillapalli, Pujitha, et al.
Published: (2026)

Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
by: Silvestri, Gianluigi, et al.
Published: (2024)

AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary Masking
by: Turali, Mehmet Y., et al.
Published: (2024)

Learning Successive Interference Cancellation for Low-Complexity Soft-Output MIMO Detection
by: Fesl, Benedikt, et al.
Published: (2026)

Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning
by: Akiyama, Yuki, et al.
Published: (2025)

Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
by: Subramaniam, Adarsh M., et al.
Published: (2024)

Latency-aware Human-in-the-Loop Reinforcement Learning for Semantic Communications
by: Li, Peizheng, et al.
Published: (2026)

Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
by: Chen, Lili, et al.
Published: (2025)

Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
by: Brown, Samuel B., et al.
Published: (2024)

Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
by: Sifaou, Houssem, et al.
Published: (2025)

Inverse Reinforcement Learning using Revealed Preferences and Passive Stochastic Optimization
by: Krishnamurthy, Vikram
Published: (2025)

Reinforcement Learning for SAR View Angle Inversion with Differentiable SAR Renderer
by: Wang, Yanni, et al.
Published: (2024)

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering
by: Akiyama, Yuki, et al.
Published: (2024)

Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
by: Tian, Haozhe, et al.
Published: (2025)

Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
by: Oh, Yongjeong, et al.
Published: (2024)

PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
by: Peleg, Ori, et al.
Published: (2025)

Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning
by: Bozkus, Talha, et al.
Published: (2024)

Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning
by: Tashman, Deemah H., et al.
Published: (2025)

Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
by: Nardi, Federico, et al.
Published: (2024)

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic
by: Saggese, Fabio, et al.
Published: (2021)

Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning
by: Tran, Nhat, et al.
Published: (2026)

Beam Selection in ISAC using Contextual Bandit with Multi-modal Transformer and Transfer Learning
by: Farzanullah, Mohammad, et al.
Published: (2025)